Computer Science Seminar (Oct. 5, 2016)
Title: Efficient and Privacy-preserving Smart Grid Downlink Communication Using Identity Based Signcryption
Speaker: Khalid Alharbi, PhD Candidate, Computer Science, University of Ontario Institute of Technology
Abstract: In this talk, we propose an efficient and privacy-preserving scheme for smart grid downlink communication. Specifically, we propose an efficient identity based signcryption, called EIBSC, providing privacy preservation in downlink communication for smart grids. The proposed scheme is characterized by employing the concealing destination technique on the tree-based network to protect consumer privacy in downlink communication. Moreover, the proposed scheme employs identity based signcryption to efficiently achieve downlink message source authentication, data integrity and encryption. Additionally, compared to other identity-based signcryption schemes, the proposed scheme is more efficient in regards to computational overhead and ciphertext size. Furthermore, our security analysis illustrates that the proposed scheme is resilient against various security threats to smart grids.
Biography: Khalid Alharbi received the B.Sc. degree in Mathematics, Saudi Arabia, in 1999 and the Master of Information Technology Security (MITS) from University of Ontario Institute of Technology (UOIT), Canada, in 2012. He is an instructor at Northern Border University, Saudi Arabia and is currently working toward a Ph.D. degree in Computer Science at the University of Ontario Institute of Technology (UOIT), Canada. His research interests include applied cryptography, malware analysis, and security and privacy issues in web applications, cloud computing, mobile social networks, and smart grid. He has published more than 10 referred papers in International journals and conferences, including IEEE Transactions on Emerging Topics in Computing, IEEE Internet of Things, IEEE GLOBECOM. He won the Best Paper Award at the International Conference on Wireless Communications and Signal Processing (WCSP 2012).