ISIS Exploits User-Friendly Encryption Apps to Plan and Recruit
March 21, 2016
The article on Discovery News titled ISIS Taps Dark Web, Encryption Apps to Coordinate discusses the news that ISIS orchestrated the Paris terrorist attacks using encrypted messaging apps. The big social media companies like Google and Facebook enable an encryption method they call “perfect forward secrecy,” which lacks any sort of master key or backdoor. The article explains other systems,
“Extremist groups are even using messaging services found on Play Station 4 gaming consoles, a favorite of young male jihadis who particularly like “Call of Duty,” according to Steven Stalinsky, executive director of the Middle Eastern Media Research Institute, a group that monitors social media by extremist groups…Of particular concern is Telegram, a relatively new instant messaging app designed in Russia that has recently been upgraded to allow more secure communications by groups.”
The article points out that most of these techniques are intuitive, designed for regular people. Their exploitation by ISIS is due to their user-friendliness and the difficulty of interception. Rather than trying to crack the codes, some analysts believe that reverting to good old-fashioned methods like spies and informants may be the best answer to ISIS’s use of Western technology.
Chelsea Kerwin, March 21, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
A Dead Startup Tally Sheet
March 17, 2016
Startups are the buzzword for companies that are starting up in the tech industry, usually with an innovative idea that garners them several million in investments. Some startups are successful, others plodder along, and many simply fail. CBS Insights makes an interesting (and valid) comparison with tech startups and dot-com bust that fizzled out quicker than a faulty firecracker.
While most starts appear to be run by competent teams that, sometimes they fizzle out or are acquired by a larger company. Many of them are will not make it as a headlining company. As a result, CBS Insights invented, “The Downround Tracker: Which Companies Are Not Living Up To The Expectations?”
CBS Insights named this tech boom, the “unicorn era,” probably from the rare and mythical sightings of some of these companies. The Downround Tracker tracks unicorn era startups that have folded or were purchased. Since 2015, fifty-six total companies have made the Downround Tracker list, including LiveScribe, Fab.com, Yodle, Escrow.com, eMusic, Adesto Technologies, and others.
Browse through the list and some of the names will be familiar and others will make you wonder what some of these companies did in the first place. Companies come and go in a fashion that appears to be quicker than any other generation. At least in shows that human ingenuity is still working, cue Kanas’s “Dust in the Wind.”
Whitney Grace, March 17, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Google Now Has Dowsing Ability
March 16, 2016
People who claim to be psychic are fakes. There is not a way to predict the future, instantly locate a lost person or item, or read someone’s aura. No scientific theory has proven it exists. One of the abilities psychics purport to have is “dowsing,” the power to sense where water, precious stones or metals, and even people are hiding. Instead of relying on a suspended crystal or an angular stick, Google now claims it can identify any location based solely on images, says The Technology Review in the article, “Google Unveils Neural Network With ‘Superhuman’ Ability To Determine The Location Of Almost Any Image.”
Using computer algorithms, not magic powers, and Tobias Weyand’s programming prowess and a team of tech savvy people, they developed a way for a Google deep-learning machine to identity location pictures. Weyand and his team designed PlaNET, the too, and accomplished this by dividing the world into 26,000 square grid (sans ocean and poles) of varying sizes depending on populous areas.
“Next, the team created a database of geolocated images from the Web and used the location data to determine the grid square in which each image was taken. This data set is huge, consisting of 126 million images along with their accompanying Exif location data.
Weyand and co used 91 million of these images to teach a powerful neural network to work out the grid location using only the image itself. Their idea is to input an image into this neural net and get as the output a particular grid location or a set of likely candidates.”
With the remaining 34 million images in the data set, they tested the PlaNET to check its accuracy. PlaNET can accurately guess 3.6% images at street level, 10.1% on city level, 28.4% country of origin, and 48% of the continent. These results are very good compared to the limited knowledge that a human keeps in their head.
Weyand believes that PlaNET is able to determine the location, because it has learned new parents to recognize subtle patterns about areas that humans cannot distinguish, as it has arguably been more places than any human. What is even more amazing is how much memory PlaNET uses: only 377 MB!
When will PlaNET become available as a GPS app?
Whitney Grace, March 16, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
How-To Overview of Building a Data Platform to Handle Real-Time Datasets
March 11, 2016
The article on Insight Data Engineering titled Building a Streaming Search Platform offers a glimpse into the Fellows Program wherein grad students and software engineers alike build data platforms and learn cutting-edge open source technologies. The article delves into the components of the platform, which enables close to real-time search of a streaming text data source, with Twitter as an example. It also explores the usefulness of such a platform,
On average, Twitter users worldwide generate about 6,000 tweets per second. Obviously, there is much interest in extracting real-time signal from this rich but noisy stream of data. More generally, there are many open and interesting problems in using high-velocity streaming text sources to track real-time events. … Such a platform can have many applications far beyond monitoring Twitter…All code for the platform I describe here can be found on my github repository Straw.”
Ryan Walker, a Casetext Data Engineer, describes how these products might deliver major results in the hands of a skilled developer. He uses the example of a speech to text monitor being able to transcribe radio or TV feeds and send the transcriptions to the platform. The platform would then seek key phrases and even be set up to respond with real-time event management. There are many industries that will find this capability very intriguing due to their dependence on real-time information processing, including finance and marketing.
Chelsea Kerwin, March 11, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Germany Launches Malware to Spy on Suspicious Citizens
March 10, 2016
The article titled German Government to Use Trojan Spyware to Monitor Citizens on DW explains the recent steps taken in Germany to utilize Trojans, or software programs, created to sneak into someone else’s computer. Typically they are used by hackers to gain access to someone’s data and steal valuable information. The article states,
“The approval will help officials get access to the suspect’s personal computer, laptop and smartphone. Once the spyware installs itself on the suspect’s device, it can skim data on the computer’s hard drive and monitor ongoing chats and conversations. Members of the Green party protested the launching of the Trojan, with the party’s deputy head Konstantin von Notz saying, “We do understand the needs of security officials, but still, in a country under the rule of law, the means don’t justify the end.”
Exactly whom the German government wants to monitor is not discussed in the article, but obviously there is growing animosity towards not only the Syrian refugees but also all people of Middle Eastern descent. Some of this hostility is based in facts and targeted, but the growing prejudice towards innocent people who share nothing but history with terrorists is obviously cause for concern in Germany, Europe, and the United States as well. One can only imagine how President Trump might cavalierly employ malware to spy on an entire population that he has already stated his distrust of in the most general terms.
Chelsea Kerwin, March 10, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Facebook Exploits Dark Web to Avoid Local Censorship
March 9, 2016
The article on Nextgov titled Facebook Is Giving Users a New Way to Access It On the ‘Dark Web’ discusses the lesser-known services of the dark web such as user privacy. Facebook began taking advantage of the dark web in 2014, when it created a Tor address (recognizable through the .onion ending.) The article explains the perks of this for global Facebook users,
“Facebook’s Tor site is one way for people to access their accounts when the regular Facebook site is blocked by governments—such as when Bangladesh cut off access to Facebook, its Messenger and Whatsapp chat platforms, and messaging app Viber for about three weeks in November 2015. As the ban took effect, the overall number of Tor users in Bangladesh spiked by about 10 times, to more than 20,000 a day. When the ban was lifted, the number dropped..”
Facebook has encountered its fair share of hostility from international governments, particularly Russia. Russia has a long history of censorship, and has even clocked Wikipedia in the past, among other sites. But even if a site is not blocked, governments can still prevent full access through filtering of domain names and even specific keywords. The Tor option can certainly help global users access their Facebook accounts, but however else they use Tor is not publicly known, and Facebook’s lips are sealed.
Chelsea Kerwin, March 9, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
A Hefty Guide to Setting up SharePoint 2013 Enterprise Search Center
March 8, 2016
The how-to guide titled Customizing SharePoint 2013 Search Center on Code Project provides a lengthy, detailed explanation (with pictures) of the new features of SharePoint 2013, an integration of the 2010 version and Microsoft FAST search. The article offers insights into certain concepts of the program such as crawled properties and managed properties before introducing step-by-step navigation for customizing the result page and Display template, as well as other areas of Sharepoint. The article includes such tips as this,
“Query rules allow you to modify the users keyword search based on a condition. Let’s say when the user types Developer, we want to retrieve only the books which have BookCategory as Developer and if they type ‘IT Pro’, we only want to retrieve the Administrator related books.”
Nine steps later, you have a neat little result block with the matching items. The article outlines similar processes for Customizing the Search Center, Modifying the Search Center, Adding the Results Page to the Navigation, and Creating the Result Source. This leads us to ask, Shouldn’t this be easier by now? Customizing a program so that it looks and acts the way we expect seems like pretty basic setup, so why does it take 100+ steps to tailor SharePoint 2013?
Chelsea Kerwin, March 8, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
The Progress and Obstacles for Microsoft Delve When It Comes to On-Premise Search
March 7, 2016
The article titled Microsoft Delve Faces Challenges in Enterprise Search Role on Search Content Management posits that Microsoft Delve could use some serious enhancements to ensure that it functions as well with on-premises data as it does with data from the cloud. Delve is an exciting step forward, an enterprise-wide search engine that relies on machine learning to deliver relevant results. The article even goes so far as to call it a “digital assistant” that can make decisions based on an analysis of previous requests and preferences. But there is a downside, and the article explains it,
“Microsoft Delve isn’t being used to its full potential. Deployed within the cloud-based Office 365 (O365) environment, it can monitor activity and retrieve information from SharePoint, OneDrive and Outlook in a single pass — and that’s pretty impressive. But few organizations have migrated their entire enterprise to O365, and a majority never will: Hybrid deployments and blending cloud systems with on-premises platforms are the norm… if an organization has mostly on-premises data, its search results will always be incomplete.”
With a new version of Delve in the works at Microsoft, the message has already been received. According to the article, the hybrid Delve will be the first on-premise product based on SharePoint Online. You can almost hear the content management specialists holding their breaths for an integrated cloud and on-premise architecture for search.
Chelsea Kerwin, March 7, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Artificial Intelligence Competition Reveals Need for More Learning
March 3, 2016
The capabilities of robots are growing but, on the whole, have not surpassed a middle school education quite yet. The article Why AI can still hardly pass an eighth grade science test from Motherboard shares insights into the current state of artificial intelligence as revealed in a recent artificial intelligence competition. Chaim Linhart, a researcher from an Israel startup, TaKaDu, received the first place prize of $50,000. However, the winner only scored a 59.3 percent on this series of tasks tougher than the conventionally used Turing Test. The article describes how the winners utilized machine learning models,
“Tafjord explained that all three top teams relied on search-style machine learning models: they essentially found ways to search massive test corpora for the answers. Popular text sources included dumps of Wikipedia, open-source textbooks, and online flashcards intended for studying purposes. These models have anywhere between 50 to 1,000 different “features” to help solve the problem—a simple feature could look at something like how often a question and answer appear together in the text corpus, or how close words from the question and answer appear.”
The second and third place winners scored just around one percent behind Linhart’s robot. This may suggest a competitive market when the time comes. Or, perhaps, as the article suggests, nothing very groundbreaking has been developed quite yet. Will search-based machine learning models continue to be expanded and built upon or will another paradigm be necessary for AI to get grade A?
Megan Feil, March 3, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Is Bing Full of Bugs or Is Constant Change And “Agility” the Wave of the Future?
February 29, 2016
The article titled 600 Engineers Make 4,000 Changes to Bing Each Week on WinBeta goes behind the scenes of a search engine. The title seems to suggest that Bing is a disaster with so many bugs that only a fleet of engineers working around the clock can manage the number of bugs in the system. That is actually far from the impression that the article makes. Instead, it stresses the constant innovation that Bing calls “Continuous Delivery” or “Agility.” The article states,
“How about the 600 engineers mentioned above pushing more than 4,000 individual changes a week into a testing phase containing over 20,000 tests. Each test can last from 10 minutes to several hours or days… Agility incorporates two “loops,” the Inner Loop that is where engineers write the code, prototype, and crowd-source features. Then, there’s an Outer Loop where the code goes live, gets tested by users, and then pushes out to the world.”
For more details on the sort of rapid and creative efforts made possible by so many engineers, check out the Bing Visual Blog Post created by a Microsoft team. The article also reminds us that Bing is not only a search engine, but also the life-force behind Microsoft’s Cortana, as well as being integrated into Misrosoft Office 2016, AOL and Siri.
Chelsea Kerwin, February 29, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
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