internet of things security

BBDS: A Privacy-preserving Blockchain-Based Data Sharing System

Prof. Jin Li, Computer Science, Guangzhou University

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B1 L4 R4214

Abstract Nowadays, the devices in the Internet of Things have been widely used. These devices generate a huge amount of sensitive data, which are susceptible to cyber attacks. In this talk, we introduce an efficient blockchain based approach with several computational models of physically unclonable functions (denoted by PUF model). The presented protocol aims to guarantee the authentication of the devices with fast verification process. Furthermore, the combination of Blockchain and PUF motivates us to propose an efficient protocol that guarantees data provenance and data integrity in IoT

Maha Al-Aslani

Ph.D. Student, Computer Science
Maha Al-Aslani is a Ph.D. student under the supervision of Prof. Basem Shihada at the Networking Research Lab (NETLAB) in King Abdullah University of Science and Technology (KAUST). Maha received her bachelor's degree in Information Technology from King Abdulaziz University (KAU), and a master's degree in Computer Science from King Abdullah University of Science and Technology (KAUST) Saudi Arabia. Thesis title: Securing Internet of Things. Master's Thesis title: " Green Frame Aggregation Scheme for IEEE 802.11n Networks ". Education Profile M.Sc., Computer Science, KAUST, Saudi Arabia, 2015

Ioannis (Yannis) Zografopoulos

Ioannis Zografopoulos received his Ph.D. at the Computer, Electrical, and Mathematical Sciences and Engineering Division (CEMSE) of King Abdullah University of Science and Technology (KAUST) in 2023. Prior, he graduated with a B.Eng. and M.Eng. degrees in Computer, Communications, and Network Engineering, and an M.Sc. degree in Electrical and Computer Engineering from the University of Thessaly, Volos, Greece, in 2014 and 2015, respectively. His research interests include cyber-physical systems security, with an emphasis on embedded systems for industrial, distributed energy, and power grid