Arch Street Client Wins Big in $1.5 Billion Competition

With help from Arch Street, the Central New York Regional Economic Development Council (REDC) won $500 million in funding from the State of New York to catalyze economic growth across a five-county region centered around Syracuse, New York.

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Arch Street helped author key portions of the winning proposal to New York Governor Andrew Cuomo’s  high-stakes Upstate Revitalization Initiative competition.  CNY was one of three winners out of seven competitors.

Arch Street drafted major elements of the successful proposal especially Section I. the regional Strategic Plan.  This section introduced regional economic data and trends linking them to future economic directions and initiatives for the region.

DHS Cyber Security Division Showcases Transition-Ready Technologies 

Earlier this month, the Department of Homeland Security Science and Technology Directorate (S&T) Cyber Security Division (CSD) hosted the Transition to Practice (TTP) Investors, Integrators and IT Company (I3) East Technology Demonstration Day, to showcase technologies to private industry cybersecurity investors, integrators and IT professionals.

Last fall, Arch Street attended a similar day-long TTP event held at Pace University in lower Manhattan and found it worthwhile. Presenters from academia, industry and the national laboratories demonstrated leading-edge cybersecurity tools with potential application in critical infrastructure sectors such as banking and energy.

See: Cyber Security Division Showcases Transitionable Technologies 

Human trust and agency problems masquerading as cybersecurity threats

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Every hour it seems we hear about new and challenging cybersecurity threats.  Here’s another “cyber” story, this time from the New York Times, that has little to do with technology.  Rather it has to do with a concept that stretches back over 2,000 years:  human agency.  It involves breakdowns in trust and agency — where bank tellers (agents) are delegated authority by another (in this case, their employer) putting customer assets at risk.  See: Bank Tellers, With Access to Accounts, Pose a Rising Security Risk 

Self-Assembing Superconducting Polymer Created

Building on nearly two decades’ worth of research, a multidisciplinary team from Cornell University has blazed a new trail by creating a self-assembled, three-dimensional gyroidal superconductor.  The material is not hard like magnets but a soft polymer consisting of tiny self-assembling diatoms.

Ulrich Wiesner, the Spencer T. Olin Professor of Engineering, led the group, which included researchers in engineering, chemistry and physics.

It also opens the door for cheaper superconductors, as the process is straight out of the world of polymer material science with the world of physics, arenas that don’t have much crossover.

“In principle, the ease of processing polymers is now brought to making superconductors,” Wiesner observed.

The group’s findings are detailed in a paper published in Science Advances, Jan. 29. 2016.

DHS Cyber Security Division to host R&D Showcase and Technical Workshop in February 

DHS-logoThe cybersecurity threat continues to evolve and in order to keep ahead of the threat, new cutting-edge cybersecurity technologies are needed. DHS S&T’s Cyber Security Division (CSD) is funding many R&D efforts through academia, small businesses, industry and government and national labs.Each year CSD gathers these researchers along with our stakeholders and partners to present the status of the research CSD is funding, enable collaboration among the researchers and government agencies, and to connect the technologies to transition partners.

The workshop will be held February 17-19, 2016 in Washington, DC.

 

Applications of Artificial Intelligence Techniques to Combating Cyber Crimes

A recent paper by Dilek, Cakir & Aydın in the International Journal of Artificial Intelligence & Applications (IJAIA) reviewed the applications of A.I. to cyber crime and cyber security.

ABSTRACT

With the advances in information technology (IT) criminals are using cyberspace to commit numerous cyber crimes. Cyber infrastructures are highly vulnerable to intrusions and other threats. Physical devices and human intervention are not sufficient for monitoring and protection of these infrastructures; hence, there is a need for more sophisticated cyber defense systems that need to be flexible, adaptable and robust,

and able to detect a wide variety of threats and make intelligent real-time decisions. Numerous bio-inspired computing methods of Artificial Intelligence have been increasingly playing an important role in cyber crime detection and prevention. The purpose of this study is to present advances made so far in the field of applying AI techniques for combating cyber crimes, to demonstrate how these techniques can be an effective tool for detection and prevention of cyber attacks, as well as to give the scope for future work.