Elastic Links Search and Social Through Graph Capabilities
September 13, 2016
The article titled Confused About Relationships? Elasticsearch Gets Graphic on The Register communicates the latest offering from Elasticsearch, the open-source search server based on Apache’s Lucene. Graph capabilities are an exciting new twist on search that enables users to map out relationships through the search engine and the Kibana data visualization plug-in. The article explains,
By fusing graph with search, Elastic hopes to combine the power of social with that earlier great online revolution, the revolution that gave us Google: search. Graph in Elasticsearch establishes relevance by establishing the significance of each relationship versus the global average to return important results. That’s different to what Elastic called “traditional” relationship mapping, which is based on a count of the frequency of a given relationship.
Elasticsearch sees potential for their Graph capabilities in behavioral analysis, particularly in areas such as drug discovery, fraud detection, and customized medicine and recommendations. When it comes to identifying business opportunities, Graph databases have already proven their value. Discovering connections and trimming degrees of separation are all of vital importance in social media. Social networks like Twitter have been using them since the beginning of NoSQL. Indeed, Facebook is a customer of Elastic, the business version of Elasticsearch that was founded in 2012. Other users of Elasticsearch include Netflix, StumbleUpon, and Mozilla.
Chelsea Kerwin, September 13, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
There is a Louisville, Kentucky Hidden Web/Dark Web meet up on September 27, 2016.
Information is at this link: https://www.meetup.com/Louisville-Hidden-Dark-Web-Meetup/events/233599645/
Mouse Movements Are the New Fingerprints
May 6, 2016
A martial artist once told me that an individual’s fighting style, if defined enough, was like a set of fingerprints. The same can be said for painting style, book preferences, and even Netflix selections, but what about something as anonymous as a computer mouse’s movement? Here is a new scary thought from PC & Tech Authority: “Researcher Can Indentify Tor Users By Their Mouse Movements.”
Juan Carlos Norte is a researcher in Barcelona, Spain and he claims to have developed a series of fingerprinting methods using JavaScript that measures times, mouse wheel movements, speed movement, CPU benchmarks, and getClientRects. Combining all of this data allowed Norte to identify Tor users based on how they used a computer mouse.
It seems far-fetched, especially when one considers how random this data is, but
“’Every user moves the mouse in a unique way,’ Norte told Vice’s Motherboard in an online chat. ‘If you can observe those movements in enough pages the user visits outside of Tor, you can create a unique fingerprint for that user,’ he said. Norte recommended users disable JavaScript to avoid being fingerprinted. Security researcher Lukasz Olejnik told Motherboard he doubted Norte’s findings and said a threat actor would need much more information, such as acceleration, angle of curvature, curvature distance, and other data, to uniquely fingerprint a user.”
This is the age of big data, but looking Norte’s claim from a logical standpoint one needs to consider that not all computer mice are made the same, some use lasers, others prefer trackballs, and what about a laptop’s track pad? As diverse as computer users are, there are similarities within the population and random mouse movement is not individualistic enough to ID a person. Fear not Tor users, move and click away in peace.
Whitney Grace, May 6, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Netflix Algorithm Defaults To “White” Content, Sweeps Diversity Under the Rug
April 1, 2016
The article Marie Claire titled Blackflix; How Netflix’s Algorithm Exposes Technology’s Racial Bias, delves into the racial ramifications of Netflix’s much-lauded content recommendation algorithm. Many users may have had strange realizations about themselves or their preferences due to collisions with the system that the article calls “uncannily spot-on.” To sum it up: Netflix is really good at showing us what we want to watch, but only based on what we have already watched. When it comes to race, sexuality, even feminism (how many movies have I watched in the category “Movies With a Strong Female Lead?”), Netflix stays on course by only showing you similarly diverse films to what you have already selected. The article states,
“Or perhaps I could see the underlying problem, not in what we’re being shown, but in what we’re not being shown. I could see the fact that it’s not until you express specific interest in “black” content that you see how much of it Netflix has to offer. I could see the fact that to the new viewer, whose preferences aren’t yet logged and tracked by Netflix’s algorithm, “black” movies and shows are, for the most part, hidden from view.”
This sort of “default” suggests quite a lot about what Netflix has decided to put forward as normal or inoffensive content. To be fair, they do stress the importance of logging preferences from the initial sign up, but there is something annoying about the idea that there are people who can live in a bubble of straight, white, (or black and white) content. There are among those people some who might really enjoy and appreciate a powerful and relevant film like Fruitvale Station. If it wants to stay current, Netflix needs to show more appreciation or even awareness of its technical bias.
Chelsea Kerwin, April 1, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
VPN Disables Right to Be Forgotten for Users in European Union
March 24, 2016
Individuals in the European Union have been granted legal protection to request unwanted information about themselves be removed from search engines. An article from Wired, In Europe,You’ll Need a VPN to See Real Google Search Results, explains the latest on the European Union’s “right to be forgotten” laws. Formerly, privacy requests would only scrub sites with European country extensions like .fr, but now Google.com will filter results for privacy for those with a European IP address. However, European users can rely on a VPN to enable their location to appear as if it were from elsewhere. The article offers context and insight,
“China has long had its “Great Firewall,” and countries like Russia and Brazil have tried to build their own barriers to the outside ‘net in recent years. These walls have always been quite porous thanks to VPNs. The only way to stop it would be for Google to simply stop allowing people to access its search engine via a VPN. That seems unlikely. But with Netflix leading the way in blocking access via VPNs, the Internet may yet fracture and localize.”
The demand for browsing the web using surreptitious methods, VPN or otherwise, only seems to be increasing. Whether motivations are to uncover personal information about certain individuals, watch Netflix content available in other countries or use forums on the Dark Web, the landscape of search appears to be changing in a major way.
Megan Feil, March 24, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Elasticsearch Works for Us 24/7
February 5, 2016
Elasticsearch is one of the most popular open source search applications and it has been deployed for personal as well as corporate use. Elasticsearch is built on another popular open source application called Apache Lucene and it was designed for horizontal scalability, reliability, and easy usage. Elasticsearch has become such an invaluable piece of software that people do not realize just how useful it is. Eweek takes the opportunity to discuss the search application’s uses in “9 Ways Elasticsearch Helps Us, From Dawn To Dusk.”
“With more than 45 million downloads since 2012, the Elastic Stack, which includes Elasticsearch and other popular open-source tools like Logstash (data collection), Kibana (data visualization) and Beats (data shippers) makes it easy for developers to make massive amounts of structured, unstructured and time-series data available in real-time for search, logging, analytics and other use cases.”
How is Elasticsearch being used? The Guardian is daily used by its readers to interact with content, Microsoft Dynamics ERP and CRM use it to index and analyze social feeds, it powers Yelp, and her is a big one Wikimedia uses it to power the well-loved and used Wikipedia. We can already see how much Elasticsearch makes an impact on our daily lives without us being aware. Other companies that use Elasticsearch for our and their benefit are Hotels Tonight, Dell, Groupon, Quizlet, and Netflix.
Elasticsearch will continue to grow as an inexpensive alternative to proprietary software and the number of Web services/companies that use it will only continues to grow.
Whitney Grace, February 5, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Hackers Opt for Netflix and Uber over Credit Card Theft on Dark Web
January 25, 2016
It is no surprise that credit cards and other account information is sold on the Dark Web but which accounts are most valuable might surprise. Baiting us to click, the article It turns out THIS is more valuable to hackers than your stolen credit card details on the United Kingdom’s Express offers the scoop on the going rate of various logins cybercriminals are currently chasing. Hacked Uber, Paypal and Netflix logins are the most valuable. The article explains,
“Uber rolled-out multi-factor authentication in some markets last year which decreased the value of stolen account details on the Dark Web, the International Business Times reported. According to the Trend Micro study, the price for credit cards is so comparatively low because banks have advanced techniques to detect fraudulent activity.”
The sales of these accounts are under $10 each, and according to the article, they seem to actually be used by the thief. Products and experiences, as consumable commodities, are easier to steal than cash when organizations fail to properly protect against fraudulent activity. The takeaway seems to be obvious.
Megan Feil, January 25, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Getting Smart About Cutting the Cable Cord
December 21, 2015
A few years ago, I read an article about someone who was fed up with streaming content because he wanted new shows and access to all the channels so they resubscribed to cable. I have to admit the easiest thing to do would be to pay a monthly cable bill and shell out additional fees for the premiere channels. The only problem is that cable and extra channels are quite expensive. It has since become easier to cut the cord.
One of the biggest problems viewers face is finding specific and new content. Netflix, Hulu, iTunes, and Amazon Prime are limited with licenses and their individual content and having to search each one is time consuming. Even worse is trying to type out a series name using a remote control instead of a keyboard. Technology to the rescue!
The Verge talks about “Yahoo’s New App Is A TV Guide For Cord Cutters” called Yahoo Video Guide that allows viewers to search by a name and instantly watch it.
“Whenever users find what they want to watch, they can click a button to “Stream Now,” and the app will automatically launch a subscription service that hosts the film. If the program isn’t available online, users can buy it, instead.”
The coolest feature is that if viewers want to channel surf all they do so with GIFs. The viewer picks a GIF that fits their mood and the app will sort out content from there.
Finally, all those moving images have a different function than entertaining reddit users.
Whitney Grace, December 21, 2015
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Sell Your Soul for a next to Nothing on the Dark Web
October 13, 2015
The article on ZDNet titled The Price of Your Identity in the Dark Web? No More Than a Dollar provides the startlingly cheap value of stolen data on the Dark Web. We have gotten used to hearing about data breaches at companies that we know and use (ahem, Ashley Madison), but what happens next? The article explains,
“Burrowing into the Dark Web — a small area of the Deep Web which is not accessible unless via the Tor Onion network — stolen data for sale is easy to find. Accounts belonging to US mobile operators can be purchased for as little as $14 each, while compromised eBay, PayPal, Facebook, Netflix, Amazon and Uber accounts are also for sale. PayPal and eBay accounts which have a few months or years of transaction history can be sold for up to $300 each.”
According to the Privacy Rights Clearinghouse the most common industries affected by data breaches are healthcare, government, retail, and education sectors. But it also stresses that a high number of data breaches are not caused by hackers or malicious persons at all. Instead, unintended disclosure is often the culprit. Dishearteningly, there is really no way to escape being a target besides living out some Ron Swanson off the grid fantasy scenario. Every organization that collects personal information is a potential breach target. It is up to the organizations to protect the information, and while many are making that a top priority, most have a long way to go.
Chelsea Kerwin, October 13, 2015
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Computers Learn Discrimination from Their Programmers
September 14, 2015
One of the greatest lessons one take learn from the Broadway classic South Pacific is that children aren’t born racist, rather they learn about racism from their parents and other adults. Computers are supposed to be infallible, objective machines, but according to Gizmodo’s article, “Computer Programs Can Be As Biased As Humans.” In this case, computers are “children” and they observe discriminatory behavior from their programmers.
As an example, the article explains how companies use job application software to sift through prospective employees’ resumes. Algorithms are used to search for keywords related to experience and skills with the goal of being unbiased related to sex and ethnicity. The algorithms could also be used to sift out resumes that contain certain phrases and other information.
“Recently, there’s been discussion of whether these selection algorithms might be learning how to be biased. Many of the programs used to screen job applications are what computer scientists call machine-learning algorithms, which are good at detecting and learning patterns of behavior. Amazon uses machine-learning algorithms to learn your shopping habits and recommend products; Netflix uses them, too.”
The machine learning algorithms are mimicking the same discrimination habits of humans. To catch these computer generated biases, other machine learning algorithms are being implemented to keep the other algorithms in check. Another option to avoid the biases is to reload the data in a different manner so the algorithms do not fall into the old habits. From a practical stand point it makes sense: if something does not work the first few times, change the way it is done.
Whitney Grace, September 14, 2015
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
A Fun Japanese Elasticsearch Promotion Video
September 10, 2015
Elasticsearch is one of the top open source search engines and is employed by many companies including Netflix, Wikipedia, GitHub, and Facebook. Elasticsearch wants to get a foothold into the Japanese technology market. We can assume, because Japan is one of the world’s top producers of advanced technology and has a huge consumer base. Once a technology is adopted in Japan, you can bet that it will have an even bigger adoption rate.
The company has launched a Japanese promotional campaign and a uploaded video entitled “Elasticsearch Product Video” to its YouTube channel. The video comes with Japanese subtitles with appearances by CEO Steven Schuurman, VP of Engineering Kevin Kluge, Elasticsearch creator Shay Bannon, and VP of Sales Justin Hoffman. The video showcases how Elasticsearch is open source software, how it has been integrated into many companies’ frameworks, its worldwide reach, product improvement, as well as the good it can do.
Justin Hoffman said that, “I think the concept of an open source company bringing a commercial product to market is very important to our company. Because the customers want to know on one hand that you have the open source community and its evolution and development at the top of your priority list. On the other hand, they appreciate that you’re innovating and bringing products to market that solve real problems.”
It is a neat video that runs down what Elasticsearch is capable of, the only complaint is that bland music in the background. They could benefit from licensing the Jive Aces “Bring Me Sunshine” it relates the proper mood.
Whitney Grace, September 10, 2015
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
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