Prof. Dr.-Ing. Ahmad-Reza Sadeghi

Professor of Computer Science @ TU Darmstadt 

Ahmad-Reza Sadeghi is a full professor of Computer Science at the TU Darmstadt, Germany. He is the head of the Systems Security Lab at the Cybersecurity Research Center of TU Darmstadt. Since 2012 he is also the director of the Intel Collaborative Research Institute for Secure Computing and Resilient Autonomous Systems at TU Darmstadt. He holds a Ph.D. in Computer Science from the University of Saarland, Germany. Prior to academia, he worked in R&D of Telecommunications enterprises, amongst others Ericsson Telecommunications. He has been continuously contributing to security and privacy research. For his influential research on Trusted and Trustworthy Computing he received the renowned German “Karl Heinz Beckurts” award. This award honors excellent scientific achievements with high impact on industrial innovations in Germany. He has served as Editor-In-Chief of IEEE Security and Privacy Magazine, on editorial board of ACM Transactions on Information and System Security (TISSEC), and as guest editor of Transactions on Computer-Aided Design (TCAD), special Issue on Hardware Security and Trust. Currently he is serving on the editorial boards of ACM Security and Privacy Books, ACM Transactions on the Internet of Things (TIOT), and ACM Transactions on Design and Automation of Electronic Systems (TODAES).



Hitchhiker`s Guide to the IoT Galaxy full of Security & Privacy Challenges

The Internet of things (IoT) is rapidly emerging with the goal to connect the unconnected. Many new device manufacturers are entering the market of internet-connected appliances for smart homes and offices, ranging from motion sensors to virtual voice assistants. However, due to lack of security by design and flawed implementations we are facing significant security and privacy challenges specific to IoT, such as perilous IoT botnet attacks, and novel privacy threats caused by widespread installation of wireless sensors, actuators and smart home appliances even in the private setting of our homes. Unfortunately, standard security measures like properly encrypted communications do not protect against these threats. The massive scale of the IoT device population and enormous diversity of device hardware, operating systems, software frameworks and manufacturers makes it very difficult to establish standard IoT security and privacy-protecting solutions by simply applying and extending known solutions, neither for per-device security architectures nor for network security measures. In particular, existing intrusion detection techniques seem ineffective to detect compromised IoT devices. In this talk, we will present our recent work, including industry collaborations, on addressing various security and privacy challenges in the growing IoT landscape. In particular, we focus on approaches for flexible management of devices security association (device pairing) as well as automated device identification and reliable detection of compromised devices based on their inherent communication behavior.

Technology & Innovation


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