A Blockchain and Defensive Deception Co-design for Webcam Spyware Detection
Haissam Badih, Yasamin Hamza Alagrash, Julian L. Rrushi · 2020
Recently there have been rapid developments in the progression of advanced malware attacks, requiring the need for robust malware detection methods. We show that the integration of access control with defensive deception is more efficient than approaches from those categories of tools running alone, since malware operate under the heavy influence of deception mechanisms while trying to evade access control. We facilitate the identification of second-order webcam spyware through an approach that is larger than ever in terms of behavior. We propose to integrate defensive deception mechanisms in a series of interactions that lead to the use of a decoy I/O device and decoy server, in this case, a decoy smart contract and decoy key management server case study. Our approach combines blockchain concepts, such as smart contracts, with key management methods, to create confusion in malware's operations to benefit their detection.