Tag Archives: News

OSINT Podcast Daily Brief (January 10-11, 2014)

Listen to the news you need to know.  Today’s podcast briefing features NBC Nightly News (1-10-14), BBC World Report on Ariel Sharon (1-11-14), and Tech News Today (1-10-14).

Listen Here

or here: http://www.podsnack.com/FB6EF59A9F7/ahnqxqqs


Some Podcasts from Friday 1-3-14

This is a compilation of three podcast versions of yesterdays news (i.e. 1/3/14).  Storms of mother nature and of technology are noticeable

‘Emotional rollercoaster’: Passengers from ship stuck in Antarctica head for home – World News


Rescued at Last

‘Emotional rollercoaster’: Passengers from ship stuck in Antarctica head for home – World News.

By Jeff Black, Staff Writer, NBC News

At least one passenger shed tears of joy as others expressed relief and gratitude on Thursday after a helicopter whisked them off of an icebound Russian ship in Antarctica and delivered them onto an Australian icebreaker that will take them home.

The dramatic international rescue began just after 6:15 p.m. Thursday Australia time (2:15 a.m. Wednesday ET) and was completed about four hours later, the Australian Maritime Safety Authority’s (AMSA) confirmed.

Read more. . . 

Visit NBCNews.com for breaking news, world news, and news about the economy

Stay Connected in 2014


Helicopter rescue needed for passengers on icebound ship | Fox News

Helicopter rescue needed for passengers on icebound ship | Fox News.

A Note from OSINTAnalyst.com: Bleak weather remains in place after three ice-breakers tried and failed to reach the 74 scientists, tourists, and crew stuck since Christmas Eve.  Discussing a statement from maritime authorities, Fox News says, “the helicopter must wait for a break in the weather before it can attempt a rescue, and conditions aren’t expected to improve before Wednesday.”  The crew on the ship will remain even after a rescue is made to wait for the ice to melt naturally.

Related Videos

Application of Web Analytic Techniques to Law Enforcement



Amazon.com employs analytical techniques in each and every facet of the consumer experience.  Their predictive algorithms bring together association rules, cluster modeling, and a vast array of consumer usage data to bring each customer an experience meant to be uniquely theirs.  Alternatively, it comes together to ease the shopper experience.  These same analytical techniques can be adapted in order to serve law enforcement at every level, but most notably by taking advantage of the same techniques in regard to social media analytics.

Social media analytics can pick out patterns and information paramount to the security of a community, an event or a public figure.  This process is already in place in Medford, Oregon where gangs have begun to utilize social media for their recruitment and retention efforts (Cauguiran, 2012).  Police officers monitor postings based on keywords on Facebook, Twitter, YouTube and the like, and solidify their efforts with targeted opinion, network and text mining.  As a result valuable intelligence is gained and the otherwise unquantifiable is quantified.

This same concept was demonstrated in the finance sector by Capital One (Davenport & Harris, 2007).  This company decided to compete on analytics with the aim of getting to know who their ideal customer would be.  By discovering they were able to target their market thus resulting in heightened service.  Careful attention to detail in determining classifications and global attributes required for gaming future scenarios make this technology and subsequent fact-based analysis more likely to succeed in mitigating the number of decisions and predictions based on intuition theoretically resulting in a more accurate forecasting an ideal candidate for committing a crime or an ideal sector where a crime may be committed.

A recent article written by Dale Peet on the subject points out that this capability, “is still new territory to law enforcement and emergency management personnel,” but goes on to say, “it can’t remain new for long,” (City, 2012.)  A plethora of data exists in open source to which analytical tools such as sentiment analysis can be applied.  This is an intrinsically useful analysis for an array of businesses like Amazon.com and Wal-Mart, but is equally of worth to law enforcement.  That said, it is important to note that actively scrutinizing social media for likely instances of ‘e-Thugging’ is not the only advantageous feature of this analytical tool (Cauguiran, 2012).

“Social media analysis tools, such as sentiment analysis technology, also can be useful in cases where threats have been made against public figures and other people,” (City, 2012).  Peet explains that in January 2011 Jared Loughner, the person responsible for shooting Arizona Congresswoman Gabrielle Giffords, posted anti-government rants on social media sites before the assassination attempt,” (City, 2012).  It is a stretch to presume preventative interdiction would have been possible simply as a result of these postings being scooped up in a data mining operation, but it is a step in the right direction setting the groundwork for prediction.

Law enforcement can also make sizeable steps toward a safer society by applying the same analytic techniques used by Amazon.com usually tied to areas of market research.  Swarm analysis and swarm-based opinion prediction can potentially lead to the development of realistically conceivable preventative strategies of crime prevention leading to enhanced public safety (Bodendorf, 2011).  This method should yield early warning of situations deemed critical to public safety or security by putting in place a systematic process of data collection governed by proper classifications and coding (Bodendorf, 2011).

What emerges is a more intelligible picture of relationships that bring patterns to light yielding trends that can be monitored for anomalies.  By thinking outside normal parameters, and putting into place data mining techniques based on predictive and customized algorithms a safer community can be obtained.

Note: There will always, “be a trade-off between privacy and utility or, in other words, between disclosure risk and information loss,” when dealing with data mining activities and information sharing across the Internet be it open source or not.  It will be interesting to see how the line progresses as the technologies and capabilities evolve (Torra, 2012).


Bodendorf, P. D. (2011, January 23-28). Social Media Analytics. Retrieved from GlobeNet 2011: http://www.iaria.org/conferences2011/filesDBKDA11/Globenet11_Keynote_FreimutBodendorf.pdf

Cauguiran, C. (2012, March 26). Gang activity is popping up on social media. Medford, Oregon, United States.

City, A., & Contributor, C. (2012). Viewpoint: To aid emergency management, turn to social media. The American City & County, , n/a. Retrieved from http://search.proquest.com/docview/1038035291?accountid=8289

Davenport, T. H., & Harris, J. G. (2007). Competing on Analytics: The New Science of Winning. United States of America: Harvard Business School of Publishing Corporation.

Torra, G. N.-A. (2012). Privacy-preserving data-mining through micro-aggregation for web-based e-commerce. Bellaterra, Spain: Artificial Intelligence Research Institute.



Judge: NSA phone surveillance is legal, and a ‘vital tool’ | Security & Privacy – CNET News



Judge: NSA phone surveillance is legal, and a ‘vital tool’ | Security & Privacy – CNET News.

Uncertainty is abound in the NSA spy scandal launched by Edward Snowden.  Here is the latest update regarding this security and privacy issue.


OSINT Concepts and Contributions (TRM-COVOR)

OSINT Questions

By Craig S. Byrnes

A lack of resources and understanding leaves most law enforcing agencies in a tight spot when it comes to predictive analytics. Open-source intelligence (OSINT) is often overlooked though it is often more reliable than some classified data sources.

The Redwine Model (TRM-COVOR) uses crowd-source enhanced collection streams in order to offer alternative predictive analysis on a variety of subjects. This collective analytic strategy operationalizes and fuses various analytic frameworks, so as to generate a predictive model aimed to combat cognitive bias, frivolous speculation, and nonsensical character assaults. This leads to a greater understanding of nuance, resulting in consistently comprehensive, quantifiable, and relevant OSINT products containing sound and transparent analytic judgments.

Situational awareness and an open-mind willing to force objective thinking are preconditions to actionable intelligence. TRM-COVOR goes a step further and supplements relevancy and timeliness by collecting opinions and thoughts bolstered by complicity within a structured thinking environment.

Visit http://theredwinemodel.com to see the COVOR-DR system in action.

Participation is safe, rewarding, and easy for everyone. Just look for the #Polls Tag or follow @OSINT981 on Twitter for the questions to appear in your news feed. No sign-in required. No personal or private information will ever be asked for or collected. Better yet, why not give it a shot and weigh in on the Dennis Rodman/North Korea relationship by answering a Yes/No question?