Infosecurity.US

Information Security & Occasional Forays Into Adjacent Realms

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Munich Security Conference 2022 - MSC Innovation Night: 'Innovation At The Frontlines' →

March 09, 2022 by Marc Handelman in Frontline Innovation, Security Innovation, Cybersecurity Innovation, Space Security Innovation, MSC2022

Thanks are in order to the Munich Security Conference) for the yearly publishing of their terrific videos covering the Munich Security Conference on the organization’s YouTube channel.

March 09, 2022 /Marc Handelman
Frontline Innovation, Security Innovation, Cybersecurity Innovation, Space Security Innovation, MSC2022

via wehatetowaste.com, original photo credit: Living Green Magazine

Rothman's Data Security Reset, What To Target And Protect

October 25, 2018 by Marc Handelman in Security Innovation, Security Research, Information Security, Data Security

via the inimitable Mike Rothman, comes this tour de force research effort targeting of all things - Data Security. In which, the Securosis organization takes on what to protect and preserve. Today's Must Read.

October 25, 2018 /Marc Handelman
Security Innovation, Security Research, Information Security, Data Security

CryptoHarlem, Teaching Encryption →

June 12, 2018 by Marc Handelman in Information Security, Education, Teaching, Security Education, Security Economics, Security Innovation, Security Leadership

'“You can’t buy a bag of chips in Harlem without being surveilled,” Mitchell said. CryptoHarlem has been teaching the community how to use encryption and other methods to prevent their digital activities from being surveilled and used against them. “People say this is the next frontier of civil rights,” Mitchell said.' from the Motherboard post via YouTube

June 12, 2018 /Marc Handelman
Information Security, Education, Teaching, Security Education, Security Economics, Security Innovation, Security Leadership

Army Research Laboratory: New Models Predict Number of Cyberintrusions →

September 26, 2017 by Marc Handelman in Statistical Modeling, US Army, Security Innovation, Security Development, Mathematics, Information Security

New - heretofore unreleased - statistical model can predict numbers of so-called cyber-intrusions in the Enterprise (whether that Enterprise be Military, Government or Business - apparently). By United States Army Research Laboratory research scientists Lawrence P. Knachel, Alexander Kott, Nandi O. Leslie and Richard E. Harang, the paper is slated for publication in a special release within the Journal of Defense Modeling and Simulation during claendar year 2018. A pre-release copy can be garnered via Sagepub Journals. Key quote (and pertinent to information security modelers:

"Several of the predictor variables that were recommended to the researchers by subject matter experts turned out to be lacking in influence or even misleading. For example, SMEs felt that the extent to which an organization is visible on the Internet, as measured for example by the number of records found related to that organization on the popular Google Scholar, would be a significant predictor of intrusion frequency. However, it turned out that such visibility alone is not a useful predictor of successful intrusions," Leslie said." - via ARL

September 26, 2017 /Marc Handelman
Statistical Modeling, US Army, Security Innovation, Security Development, Mathematics, Information Security

Drexel University Cybersecurity Institute Symposium, Innovating Securely →

July 02, 2015 by Marc Handelman in All is Information, Cybersecurity, Information Security, Security Innovation
July 02, 2015 /Marc Handelman
All is Information, Cybersecurity, Information Security, Security Innovation