April 2017 - KICTANet

Hakuna Metadata (1) - Exploring (one's) browsing history.
by Nanjira Sambuli 06 Apr '17

06 Apr '17

Highly enjoyable, and insightful read on metadata (and lack of protections thereof) to profile you for advertising etc. In the context of no privacy laws or regulations, our ISPs know quite a bit about us, and who knows what/how that info is (ab)used... http://www.privacypies.org/blog/metadata/2017/02/28/hakuna-metadata-1.html Hakuna Metadata (1) - Exploring the browsing history. Since I joined European Digital Rights (EDRi) in September 2016, one of most hottest topics that is being discussed in the Brussels bubble is the review of ePrivacy rules (ePR). As a complementary instrument to the General Data Protection Regulation (GDPR), ePR mainly deals with data protection and privacy in the electronic communications sector, such as the tracking of users when they browse the internet. Since the GDPR has been already finalized, advocacy around the ePR is probably the last chance to defend European citizens digital rights. One of my key responsibilities as the Ford-Mozilla Open Web Fellow is to bring practical understanding to policy/political debate, and I agreed with Joe that I will work on the issues that needs more technical clarifications. One such blur area in the ePR happens to be “metadata and the impact on privacy”. So, this article is an explainer about the power of metadata and the reason why we need stronger policies in that context. What is metadata? Without getting too much into details about the technical or EU definitions of metadata, let us simply understand it as the data about the data. The table below illustrates the difference between the data and the metadata. Often we see that the data is considered to be sensitive and as a personal property it has to be protected. It is possible to protect your data using encryption technologies, for example GNU Privacy Gaurd (GPG) for emails. On the other hand, metadata is not treated to be very sensitive and for the same reason there are not many methods to encrypt it. It is due to the technical shortcoming of the basic building blocks of Internet Protocol (IP) stack. It does make sense to not encrypt the metadata right? Because if we encrypt the sender information on an email, your email client wouldn’t know whom to send it to. When the internet protocols were built, the intention was merely to establish a communication channel to connect the world. At that point of time, there were no much threats from government spying agencies, mass surveillance programs or from the advertisers. However, today we live in a world where everything we do on the Internet is being tracked and thus putting our privacy for sale on the data market. Even though the metadata has been a gold mine for Internet Service Providers (ISPs), Telecommunication providers from past two decades, the privacy risks of the metadata started to be a debatable topic since the Snowden revelations. Here are some of the quotes about the power of metadata from former big shots of government spying programs. “Metadata absolutely tells you everything about somebody’s life. If you have enough metadata, you don’t really need content.” - Stewart Baker, Ex- NSA General Counsel “We kill people based on metadata.” - Michael Hayden, former director of the NSA and ex- CIA Metadata by its virtue is not invented to help privacy invaders; instead it was intended to fasten the process of classification and indexing of any kind of bulk data, without looking at the data itself. So, by definition, metadata enforces data protection by letting someone process the data, without even looking at the content inside. However, that is also the fastest way to profile the whole internet users, right? Earlier in October 2015, Share Lab presented this piece of investigative journalism which articulates the hidden power of email metadata. Indeed, it is scary to see what one can understand about personal behavior just from the “To”, “From”, “Subject” and “Timestamp” fields. Other than the scary use-cases, there are a handful of projects such as Proofmode (earlier known as Informacam - CameraV) which harness the power of metadata for combating against fake news. However, the number of projects which exploits that power for advertisement tracking and surveillance outbeats the genuine use cases of metadata. Browsing history and the potential threat actors Modern browsers such as Firefox, Google Chrome, Opera and Internet Explorer stores the browsing history to provide a user-friendly browsing experience. By default, these browsers store the history of all the previously visited websites, cached copy of the websites, form filling history, cookie information and also bookmarks. Depending on the operating system and the browser, these information will be stored in a specific location on the hard disk of your computer in a lightweight database. Some of us rant about this default nature of the browsers, as it compels users to manually opt-out of browsing history storing mechanisms and the privacy concerns associated with it. Browser history - specifically the website information and cached copy has its own advantage in terms of usability: Automatic completion/suggestion of previously visited URLs. Locally cached copies of the previously visited websites to boost up the browsing speed, which is very helpful when the Internet connection is very slow. At this point, it is obvious that our browsing history is accessible to our browsers, which is why it is highly recommended to use open-source trustworthy browsers such as Mozilla Firefox ,which protects and respects your privacy. Whereas if you are using other browsers from the companies which are themselves the data brokers and advertisers, you end up giving away your browsing history to get tracked. So, assuming that we trust our browsers, let us exclude it from being a threat actor in our model. Entity Access to history Comments Malware in the computer Full Any program which has adequate privileges to start a browser process and browse the web potentially has the capacity to leak it. Such malwares have a high demand in the darknet. Other than that, there are browser hijacking malware which pollutes your history Wifi Hotspot Full Using captive Wi-Fi is a common practice in many places, especially when using public hotspots. Internet Service Providers (ISPs) Almost full ISPs can seek many insights, even when the traffic is encrypted. Have a look at “How Internet sees you” HTTP: The ISP knows which pages you're visiting and could see the data you send and receive. HTTPS: The ISP knows which domain you've visited but not the URL parameters, and not the contents of any data you send or receive. Domain Name Service (DNS) Providers Partial Only the domain name queries and not complete URL. Cookies (tracking, advertising and profiling companies) Partial to almost full (depending on who’s cookie it is) Based on cookie origin policies, cookies from Website A can collect the history related to that. Websites that you visit Partial Any websites that you visit would obviously know that you have visited them. Table 2: Access to browsing history In spite of the clear privacy implications, there is no clarity under the law about whether browsing history (more specifically the URLs) is to be protected as content or non-content metadata. Most of the lobbyists express their dissatisfaction about the changes between leaked and the official proposals of ePR. Out of many other concerns, the most questionable parts of the ePrivacy Regulations, at least for me is the permitted usage and exceptions of contents of communication. Things are a bit more complicated than that on two levels. Firstly, there are various cross-cutting issues (consent, tracking, ISPs, “value-added services”, etc…) where metadata analysis comes up. Exceptions for web analytics could imply serious privacy concerns without stronger guarantees of statistical privacy. Without getting much into that debate, let us explore browsing history as it provides a rich source of metadata of our daily interactions with the internet world. For the sake of simplicity and for understanding the power of this chunk of metadata, let us assume a malicious ISP (who can completely or partially see our browsing metadata) who does not respect the privacy policies to be the threat actor. Analytics about the web history Based on the browsing history contained in my computer, below is a simple analytics of the website domain names that I have visited the most. Like any other “normal” internet user I have used Google as the search engine; spent ample amount of time on social media sites such as Twitter, Facebook and LinkedIn; watched videos over Youtube; used Wikipedia as the primary source of information; shopped on Amazon; sought programming help over Github and Stackoverflow; and so on. Figure 1: Most visited domain names According to ePR and as per the global norms of deducing useful insight of the users, ISPs can use such analytics for their survey purposes. Under genuine use cases, these kind of statistics are helpful for fine-tuning the bandwidth for specific websites that are used more by the users. Even though the top 20 websites remain the same across all parts of the world, depending on demographics and social structure of a region, the websites that will appear after the top 20 are not always the same. Your contribution to big data analytics, starts right from here - just by contributing the domain names of the websites that you have visited. The same chunk can be used for profiling you as well. May be these websites in Figure 1, is most common to all and does not really profile as you different. But, imagine some of the porn sites or your favourite political parties web page! Well, that makes you little different than others right? Figure 2 belows shows the suffixes or more technically the top-level domains (TLD) of the websites that I have visited the most. In many cases TLDs represent the countries that the websites are affiliated with. Also, websites like Google change the TLDs depending on the country from which you are browsing their website. For instance, even if you typed www.google.com from Belgium, it will be redirected to www.google.be automatically. Based on Figure 2, one can easily tell that I have connections with Finland (.fi), Belgium (.be), India (.in and .co.in) and some academic affiliation (.edu). While your ISP will obviously know these information, imagine the case when you are travelling! Figure 2: Suffix (TLDs) of most visited websites Even you are in a foreign country, you still visit websites related to your home country. So, along with the ISP of the foreign country, your geographic affiliation or affinity is now evident to the DNS providers as well. At this point, you have contributed second chunk of information to the big data and profiling to two of the entities which can collect data about you. Browsing patterns If the internet traffic is HTTP, everything will be transmitted in plain text. So, ISPs can see full path of the URL (http://www.facebook.com/zuck) Whereas, when it is HTTPs only partial path is visible (https://www.facebook.com/) to the ISPs. To know more about how Internet works, refer to EDRi’s paper on the same topic. Figure 3: Number of unique URLs visited over time Since the full path of URL is visible to the ISPs when your traffic is not encrypted, they can start analysing your behavior online. Figure 3 represents a graph of the total number of unique websites that have visited over time based on my browsing history. As one can see, I visit 10-150 unique URLs on an average over the period of November 2015 to January 2017. Some peaks in the graph beyond this range shows a lot of anomalies in my browsing pattern. These anomalies could potentially indicate certain specific events of my life. It could be increased workload, planning my travel, searching for a job or anything that you can imagine. Figure 4: Heatmap of browsing pattern - unique URLs visited over time Another way of looking at the browsing patterns is by plotting a heatmap of the same data i.e. the number of unique URLs visited over time as shown in Figure 4. While Figure 3 shows the anomalies in the browsing pattern, the heatmap gives a snapshot of the lifestyle in an easily understandable manner. Figure 5: Heatmap of browsing pattern - sleeping (idle) and leisure time There are consistent patterns in the lower half and the upper quarter of the graph. Even within those patterns, we can see two different sets, which depicts my work time browsing and after-work leisurely activities as it fades out from 20:00 hour onwards. In the figure 5, from 12:00 AM till 07:00 AM, there is a constant strip of dark patch which represents less activity over the internet, or in other words it is the time when I sleep. Figure 6: Heatmap of browsing pattern - travel As highlighted in the figure 6, there are certain patches within the strip of my sleeping pattern. When correlated with the change in name suffixes (with reference to figure 2), it was found out to be work-related travels. In other words, I had travelled to a different timezone and continued to work from 9.00 AM to 7:00 PM as I have done on any other regular day. Figure 7: Heatmap of browsing pattern - Holiday season If we zoom in the graph more (As represented in figure 7), there are patterns which show high number of browsing, a patch of almost no activities even during the regular working hours, then a sudden increase in browsing activities and finally resuming to normal working hour pattern. This depicts that I planned for my holiday (checking into flights, confirming hotel booking, etc.), took a break from work, returned from the holiday (sudden increase is possibly due to following up on emails and activities that I might have missed during my trip) and finally resuming my work. So, at this point, one can know about my working hours, sleep time, work-related travel and my holiday schedules just using my browsing metadata. That is quite a lot of information about me retrieved just from the metadata right? Potential adwords As mentioned earlier, browsing history falls into the grey area of whether to be treated and protected as content data or as the non-content metadata. Unlike many other metadata, where it is not possible to retrieve the complete content data just by using the metadata associated with it, it is possible to retrieve all the contents of the websites that you have visited by crawling over the list of URLs from your browsing history. Whether or not it happens in reality, to avoid giving the list of URLs directly to advertisers, the ISPs can automate their analytics system to crawl over the list to seek insight on what you might have seen while browsing. By giving away just the keywords deduced from the websites that you have visited to the advertisers, the ISPs can potentially bypass the privacy laws by claiming it as anonymized. Figure 8: Wordcloud generated by crawling over the list of URLs from the browsing history Figure 8 represents the wordcloud generated by crawling over the most visited websites by me. Not so surprisingly, being a security and privacy researcher, I can see those words in this cloud, along with other keywords related to my identity - both from professional and personal life. This cloud was derived by excluding all the social media and search engine related URLs. Yet another buzzwords which we hear often these days is - “Data mining” and “machine learning”. Data Mining refers to seeking useful insights programmatically from the collected bulk data, whereas machine learning is to use that insight for data-driven decision making. One of the features of these methods known as Named Entity Recognition (NER) which allows to classify the text into categories such as organizations, persons and locations. Figure 9: Wordcloud generated by Name-Entity Recognition - Organizational entities If we run NER algorithms on the text retrieved by crawling over the list of URLs that you have visited, it provides more clarity to the keywords that can be potentially generated. Figure 9 shows the keywords related to organizational entities from the websites that I have visited. This narrows down my generic profile to target me on the keywords found in this cloud. For example, I could be a potential customer for insurance companies, University and management related jobs. Further down the line, figure 10 represents the names of the people found in the websites that I have visited the most. Surprisingly, I turned out to be the self-obsessed person who visits websites of his own or the websites that talks about himself. In the Person names cloud, I can see some of my academic co-authors, role models or the people whom I follow. Imagine that there are the names of Tim Cook or Steve Jobs! I am probably a potential customer for Apple! So, the list of adwords targeted towards me could include Apple products here onwards. Figure 10: Wordcloud generated by Name-Entity Recognition - Person names How about my next travel destination? Can it be predicted from my web history? Possible yes - it could be Brazil, China or Singapore! Figure 11: Wordcloud generated by Name-Entity Recognition - Location entities As the Figure 11 represents, I might have visited the websites which contained those locations which could probably be my next travel destination. Even without doing any fancy machine learning processing, I could attest that these were actually some of the places that I am planning to visit! As mentioned before, if you are using HTTP, the ISPs can see the full URL path in clear text. Along with them, the websites that you visit will obviously have to know that full path to deliver you exactly what you are looking for. If you have searched for “vegetarian restaurants in Brussels”in Google , your Google query URL will be http://www.google.be/search?q=vegetarian+restaurant+brussel. Assuming that the ISPs will use the keywords you are searching to profile you again, it makes their job of deriving the adwords for your future targeted advertisements much more easier. Please note that Google auto-redirects HTTP traffic to HTTPS, however, for the sake of simplicity let us ignore that. Instead, there are many malicious things (like “man-in-the-middle”) that an ISPs can do in cooperation with advertisers to know more information even from the HTTPS traffic. Figure 12: Word frequency graph of Google search keywords Figure 12 represents the most searched words by me on Google. From this graph, it is evident that I use Python programming language, Latex for writing reports, use a computer with Ubuntu as the operating system, research on security/privacy, and so on. This itself along with the previous world cloud would be enough to profile me. So, at this point, the ISPs know what makes you highly likely to click an advertisement link! Pseudo social sphere Unlike the metadata related to emails and phone call logs, the browsing history can be treated as one-dimensional metadata. Because, it is just the metadata about what you have browsed and it does not contain the influence of other people’s interaction with you. On the other hand, email and phone call metadata contains the interaction you have done with others, along with the interactions done by others with you. However, it is possible to seek insight on your affinity towards the people within your social circle using the one-dimensional browsing history metadata. For example, you will visit your close friends social media profile more frequently than you visit your ex-colleague’s profile whom you know from first job. You might have visited the profile of your friend from the university more recently and frequently, than you visit your friend from high school. By capturing the number of visit counts and frecency (frequency + recency) from your browsing history, it is possible to reconstruct a pseudo social sphere (figure 13) , and thereby converting the browsing history to a two-dimensional data source. Figure 13: Representation of pseudo-social sphere derived from social media related URLs We all have different social circles - family members, childhood/high school friends, friends from work place, ex-colleagues , etc. Our affinity towards them is not necessarily unique. Even though they are not directly connected with each other, it is highly likely that our affinity towards them is similar. By capturing the social media URLs (Facebook and Twitter), Figure 13 represents one such social sphere. In circle 1, I saw a family member and my best friend; in circle 2, one of my colleagues, highschool friend and a family member were seen. This means I weigh them differently, but they can be grouped based on my affinity towards them. Just by knowing the browsing history, now the ISPs can tell who are my close friends, how much do they matter to me and who all have equal importance in my life. To summarize: I built a small/ naive tool to replicate the similar graphs shown in this article for almost anyone who is a Linux+Firefox user, browses Internet including social media like anyone else and most importantly stores the browsing history for a decent period of time. While making this tool as generic and simple as possible, I had to omit digging more information that could have been gathered from my own browsing history and exclude use of APIs (as they require individual users to obtain the API tokens). However, to know more about what browsing history could reveal about your personalities, refer to the case study by Share Lab. This provides lot more insights on what one can dig from your browsing history. Whether or not the culprit ISPs as depicted in this article evade your privacy by doing all these analytics, it is indeed important to realize the power of metadata and your contribution to big data processing in the wild. Since privacy of the metadata can not be protected by merely encrypting it, we need stronger policies to defend our digital rights. The tool which I call as Haukana metadata can be downloaded from here. Once you download it, follow these instruction: Unzip the folder a right click on a blank area Click on “open in terminal”. In the terminal, type sh requirements and press Enter. This will download all the necessary modules needed to run the tool. Once it is completed, type python tool.py and press Enter. It will take some time to process your browsing history. So, be patient until it opens a new browser tab as a result. Everything will be processed within your computer and hence, the tool does not send the data anywhere. The newly opened tab will contain some instructions and links to the visualizations derived from your browsing history. Please note that these graphs are interactive as shown here, here, here or here. It is important to note that some of the functionalities may not work as it is shown in this article, mainly because there are no reference data about browsing history. So, I had to build it based on my own browsing history. It goes without saying that the code is open source, and any contribution to the code to improvise and add more functionalities are more than welcome. Even otherwise, in case of issues, do not hesitate to contact me, either by sending an email with subject line “Hakuna Metadata” to sidtechnical(a)gmail.com or by raising an issue on Github. Regards, Nanjira. Sent on the move.

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Fwd: [Internet Policy] New Resolution on the right to privacy
by Barrack Otieno 06 Apr '17

06 Apr '17

Listers, We need to ensure we have a data protection act in the next August house. enjoy the read Regards ---------- Forwarded message ---------- From: Richard Hill <rhill(a)hill-a.ch> Date: Mon, 3 Apr 2017 13:38:34 +0200 Subject: [Internet Policy] New Resolution on the right to privacy To: "Internetpolicy@Elists. Isoc. Org" <internetpolicy(a)elists.isoc.org> At its 34th session, 27 February-24 March 2017, the Human Rights Council adopted a new resolution on the Right to privacy in the digital age, see: http://www.un.org/ga/search/view_doc.asp?symbol=A/HRC/34/L.7/Rev.1 The resolution was adopted without a vote at the 56th meeting, 23 March 2017. Among other elements, this Resolution: * Recalls that any interference with the right to privacy should be consistent with the principles of legality, necessity and proportionality * Calls for data protection legislation, in particular to prevent the sale of personal data of personal data without the individual's free, explicit and informed consent * Calls on states not to interfere with the use of encryption. I reproduce below the relevant text from the Resolution. Best, Richard ====================== 2. Recalls that States should ensure that any interference with the right to privacy is consistent with the principles of legality, necessity and proportionality; 5. Calls upon all States: (f) To develop or maintain and implement adequate legislation, with effective sanctions and remedies, that protects individuals against violations and abuses of the right to privacy, namely through the unlawful or arbitrary collection, processing, retention or use of personal data by individuals, governments, business enterprises and private organizations; (i) To refrain from requiring business enterprises to take steps that interfere with the right to privacy in an arbitrary or unlawful way; (k) To develop or maintain legislation, preventive measures and remedies addressing harm from the sale or multiple resale or other corporate sharing of personal data without the individual's free, explicit and informed consent; 9. Encourages business enterprises to work towards enabling technical solutions to secure and protect the confidentiality of digital communications, which may include measures for encryption and anonymity, and calls upon States not to interfere with the use of such technical solutions, with any restrictions thereon complying with States' obligations under international human rights law; -- Barrack O. Otieno +254721325277 +254733206359 Skype: barrack.otieno PGP ID: 0x2611D86A

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It’s Not Their Pop Idol, but a Bot. Fans Cheer Anyway. - The New York Times
by Ali Hussein 06 Apr '17

06 Apr '17

Listers Welcome to the Brave New World of Artificial Intelligence in the Celeb World.. In January, Christina Ausset, a 24-year-old Maroon 5 fan in France, spotted an enticing Twitter post from another of the band’s followers: “I just had a conversation with Maroon 5! Awesome!” The interaction, it turned out, had been conducted on FacebookMessenger with Maroon 5’s chatbot — an automated program designed to respond to basic commands. Not exactly a conversation with Adam Levine, Ms. Ausset noted, but it didn’t matter. She now happily talks to the bot, too. Read on:- https://www.nytimes.com/2017/04/03/business/media/its-not-their-pop-idol-bu… Ali Hussein Principal Hussein & Associates +254 0713 601113 Twitter: @AliHKassim Skype: abu-jomo LinkedIn: http://ke.linkedin.com/in/alihkassim "We are what we repeatedly do. Excellence, therefore, is not an act but a habit." ~ Aristotle Sent from my iPad

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Program: Talk to Safaricom
by Grace Githaiga 06 Apr '17

06 Apr '17

Listers Greetings! Please see the program for the f2f engagement with Safaricom, planned for tomorrow evening. Please keep time! For those who have not reserved a ticket and are interested in joining the conversation, please do so here: https://www.eventbrite.com/e/talk-to-safaricom-tickets-33376809937 Looking forward to seeing many of you tomorrow. -- Co-Convenor Kenya ICT Action Network (KICTANet) Twitter:@ggithaiga Tel: 254722701495 Skype: gracegithaiga Alternate email: ggithaiga(a)hotmail.com Linkedin: https://www.linkedin.com/in/gracegithaiga www.kictanet.or.ke "Change only happens when ordinary people get involved, get engaged and come together to demand it. I am asking you to believe. Not in my ability to bring about change – but in yours"---Barrack Obama.

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Guidelines for Network Redundancy- CA
by kanini mutemi 05 Apr '17

05 Apr '17

FYI. See the guidelines attached. Deadline for public consultations is 9th April, 2017. (Should public consultation have a deadline?) -- *Mercy Mutemi, Advocate*.

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An Unprecedented Heist Hijacked a Brazilian Bank’s Entire Online Operation | WIRED
by Ali Hussein 05 Apr '17

05 Apr '17

Listers Cybersecurity is increasingly becoming the Achilles Heel for most of us. Kaspersky isn’t releasing the name of the bank that was targeted in the DNS redirect attack. But the firm says it’s a major Brazilian financial company with hundreds of branches, operations in the US and the Cayman Islands, 5 million customers, and more than $27 billion in assets. Read on:- https://www.wired.com/2017/04/hackers-hijacked-banks-entire-online-operatio… Ali Hussein 0713601113 Get Outlook for Android

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Fwd: [afnog] Four Years Tracking Unrevealed Topological Changes in the African Interdomain
by Barrack Otieno 03 Apr '17

03 Apr '17

Listers, Might be of interest to some. Regards ---------- Forwarded message ---------- From: Roderick <roderick.fanou(a)imdea.org> Date: Mon, 3 Apr 2017 16:30:44 +0200 Subject: [afnog] Four Years Tracking Unrevealed Topological Changes in the African Interdomain To: Afnog <afnog(a)afnog.org> Dear all, We would like to share the url https://authors.elsevier.com/a/1UoaAVwcQSH8w, on which are described the results of a scientific study investigating the evolution of the Interdomain routing in Africa using the RIPE Atlas infrastructure. This paper is entitled “Four Years Tracking Unrevealed Topological Changes in the African Interdomain”. It has been published at the Computer Communications Journal, which provides a 50 days free access, i.e. the manuscript will be freely downloadable by anyone until May 20, 2017. After that period, it will need to be purchased. Please find below its abstract: Abstract Despite extensive studies on the Internet topology, little is still known about the AS level topology of the African Internet, especially when it comes to its IXP substrate. The main reason for this is the lack of vantage points that are needed to obtain the proper information. From 2013 to 2016, we enhanced the RIPE Atlas measurement infrastructure in the region to shed light on both IPv4 and IPv6 topologies interconnecting local ISPs. We increased the number of vantage points in Africa by 278.3% and carried out measurements between them at random periods. To infer results that depict the behavior of ISPs in the region, we propose reproducible traceroute data analysis techniques suitable for the treatment of any set of similar measurements. We first reveal a large variety of ISP transit habits and their dependence on socio-economic factors. We then compare QoS within African countries, European countries, and the US to find that West African networks in particular need to promote investments in fiber networks and to implement traffic engineering techniques. Our results indicate the remaining dominance of ISPs based outside Africa for the provision of intra-continental paths, but also shed light on traffic localization efforts. We map, in our traceroute data, 62.2% of the IXPs in Africa and infer their respective peers. Finally, we highlight the launch of new IXPs and quantify their impacts on end-to-end connectivity. The study clearly demonstrates that to better assess interdomain routing in a continent, it is necessary to perform measurements from a diversified range of vantage points. Keywords African internet; IXP substrate; RIPE Atlas; Transit; Traffic localization Please feel free to share this mail or the url (https://authors.elsevier.com/a/1UoaAVwcQSH8w) Comments and questions are welcome. Thanks and regards, The authors. -- Barrack O. Otieno +254721325277 +254733206359 Skype: barrack.otieno PGP ID: 0x2611D86A

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Request for Blockchain/Distributed ledger/Smart contract Expertise
by Steph Muchai 03 Apr '17

03 Apr '17

Greetings all, The International Institute for Environment and Development (IIED) is looking for Kenya based individuals with blockchain/distributed ledger/smart contract expertise in Kenya to do a short scoping piece related to their devolved climate finance work. Please contact me separately with any strong recommendations you may have, Kind Regards, Steph Muchai Country Engagement Developer - Open Contracting <https://hivos.org/focal-area/open-contracting> [image: Hivos People Unlimited] ACS Plaza, Lenana Road |P.O. Box 19875| Nairobi|Kenya T + 254 725 451 729|E smuchai(a)hivos.org <https://mail.hivos.org/smuchai@hivos.org>|Skype steph.muchai| www.east-africa.hivos.org

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Cocktail invitation: Talk-2-Safaricom meet up
by Grace Githaiga 03 Apr '17

03 Apr '17

Good morning Listers Further to our online engagement with Safaricom during the 'Talk to Safaricom' week, we now wish to invite you to a cocktail this coming Friday April 7, 2017 starting at 6.30 pm at the Hotel Intercontinental. This will be an opportunity to interact informally with Safcom and still seek further clarification on issues that you think may not have been answered. To book your ticket please use this link: https://www.eventbrite.com/e/talk-to-safaricom-tickets-33376809937 Further, please find attached the draft report v1, which was compiled after the online moderated debated. Come prepared to correct/validate the report and still ask the hard questions. The Final Draft will then follow after the f2f meet up. Looking forward to seeing most of you. Best regards Githaiga, Grace --- Co-Convenor Kenya ICT Action Network (KICTANet) Twitter:@ggithaiga Tel: 254722701495 Skype: gracegithaiga Alternate email: ggithaiga(a)hotmail.com Linkedin: https://www.linkedin.com/in/gracegithaiga www.kictanet.or.ke "Change only happens when ordinary people get involved, get engaged and come together to demand it. I am asking you to believe. Not in my ability to bring about change – but in yours"---Barrack Obama.

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Social Impact bond
by Eric Mwangi 01 Apr '17

01 Apr '17

Columbia becomes 1st developing country to launch a "social impact bond" https://www.brookings.edu/blog/education-plus-development/2017/03/31/colomb… Sent from my iPhone > On 31 Mar 2017, at 11:05, Brian Muhia via kictanet <kictanet(a)lists.kictanet.or.ke> wrote: > > http://boingboing.net/2017/03/30/ring-ring-drmphone.html > -- > Software Engineer - Savannah Informatics Ltd. > _______________________________________________ > kictanet mailing list > kictanet(a)lists.kictanet.or.ke > https://lists.kictanet.or.ke/mailman/listinfo/kictanet > Twitter: http://twitter.com/kictanet > Facebook: https://www.facebook.com/KICTANet/ > > Unsubscribe or change your options at https://lists.kictanet.or.ke/mailman/options/kictanet/erick.mwangi%40gmail.… > > The Kenya ICT Action Network (KICTANet) is a multi-stakeholder platform for people and institutions interested and involved in ICT policy and regulation. The network aims to act as a catalyst for reform in the ICT sector in support of the national aim of ICT enabled growth and development. > > KICTANetiquette : Adhere to the same standards of acceptable behaviors online that you follow in real life: respect people's times and bandwidth, share knowledge, don't flame or abuse or personalize, respect privacy, do not spam, do not market your wares or qualifications.

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