What Is Cyber Deception?

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Photo by Markus Spiske on Unsplash

Holding a PhD from Florida Atlantic University in computer engineering, Dr. Jie Wu serves as a professor at Temple University. Dr. Jie Wu recently represented Temple University at DependSys 2019 in Guangzhou, China, where he gave a keynote address.

Mr. Wu’s presentation at DependSys was titled “Cyber Security Defense: From Moving Target Defense to Cyber Deception.” Cyber deception refers to a recent and innovative form of cyber security defense that allows an organization to detect cyber attacks while at the same time observing and learning about the attacker and the attacker’s targets.

Cyber deception functions through a deception system that resembles actual network assets. This system effectively creates a decoy that attracts cyber attacks. The process to set up a deception system involves a discovery phase where an organization determines what they want to protect, followed by development and distribution of decoys and breadcrumbs that mirror network resources that might attract an attack. Following these phases, the organization actively adapts and monitors the deception system in order to detect attacks and learn from them.

Privacy-Preserving Order Dispatch Scheme for Ride-Hailing Services

Holding a phone and booking an uber
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A computer science professor at Temple University, Dr. Jie Wu also directs the institution’s Center for Networked Computing. An accomplished researcher and scholarly writer, Dr. Jie Wu recently presented the paper “A Privacy-Preserving Order Dispatch Scheme for Ride-Hailing Services” at the 16th IEEE International Conference on Mobile Ad-Hoc and Smart Systems.

Coauthored by Dr. Wu, Guoju Gao, Yubin Duan, and Mingjun Xiao, “A Privacy-Preserving Order Dispatch Scheme for Ride-Hailing Services “presented research studies that the National Science Foundation funded partially through a series of grants. This paper addresses the privacy concerns of individuals around the world who use popular ride-hailing service providers (SPs) such as Uber and Lyft.

Specifically, this paper proposes a system proposes an order dispatch scheme that employs cloaking regions to preserve the location privacy of passengers while still allowing ride-hailing SPs to find and meet them for transport. Drawbacks of this proposal include increases in overall pick-up distances and decreases in precise matching performance.