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Article ID: 703114

The International Forum to Advance First Responder Innovation (IFAFRI) Creating a Market for Innovative & Affordable Responder Technology

Homeland Security's Science And Technology Directorate

Recently, DHS S&T hosted the first North American International Forum to Advance First Responder Innovation (IFAFRI) Industry Stakeholder Summit to advance the development of affordable, innovative technology for the more than 7.5 million first responders across IFAFRI member nations.

Released:
30-Oct-2018 8:05 PM EDT
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Article ID: 703015

These New Techniques Expose Your Browsing History to Attackers

University of California San Diego

Security researchers at UC San Diego and Stanford have discovered four new ways to expose Internet users’ browsing histories. These techniques could be used by hackers to learn which websites users have visited as they surf the web.

Released:
30-Oct-2018 9:00 AM EDT
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Article ID: 702824

Looking ahead: What’s the next big thing in aviation screening?

Homeland Security's Science And Technology Directorate

Although airports are much more secure today, the check-in, security, and boarding process is more time-consuming and intensive which affects the passenger experience. Since the aviation experience has changed so drastically, it begs the question – what will airport security look like 20 years from now?

Released:
25-Oct-2018 11:05 AM EDT
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Article ID: 702828

Expert Q&A: Safeguarding the Nation’s Energy Infrastructure

Lawrence Berkeley National Laboratory

In recognition of National Cybersecurity Awareness Month, cybersecurity expert Sean Peisert of Lawrence Berkeley National Laboratory discusses new methods that have the potential to keep our energy infrastructure safe from a cyberattack.

Released:
25-Oct-2018 11:00 AM EDT
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  • Embargo expired:
    24-Oct-2018 1:00 PM EDT

Article ID: 702691

$10M grant from NSF Establishes Center for Trustworthy Machine Learning

University of California San Diego

A team of U.S. computer scientists are receiving a $10 million grant from the National Science Foundation to make machine learning more secure. The grant establishes the Center for Trustworthy Machine Learning at a consortium of seven universities, including the University of California San Diego. Researchers will work together toward two goals: understanding the risks inherent to machine learning; and developing the tools, metrics and methods to manage and mitigate these risks.

Released:
24-Oct-2018 10:20 AM EDT

Article ID: 702657

S&T Program Seeks Answers to Pressing Cyber-Risk Economics Questions

Homeland Security's Science And Technology Directorate

When it comes to improving the cybersecurity posture of the nation’s critical infrastructure and vital data assets, there are a host of questions that need to be answered before actionable cybersecurity risk-management strategies can be developed and resources deployed.

Released:
23-Oct-2018 12:05 PM EDT
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Article ID: 702069

Stringent password policies help prevent fraud, study finds

Indiana University

An Indiana University study finds stringent password rules that encourage longer and more complicated passwords significantly lower the risk of personal data breaches, especially among employees at large organizations that handle sensitive data, like universities.

Released:
11-Oct-2018 1:05 PM EDT

Social and Behavioral Sciences


Showing results 4150 of 832

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