TOPIC Consistency-based Hardware Security Techniques 
AREA Integrated Circuits & Embedded Systems  
SPEAKER Dr Sheng Wei,,Researcher, Adobe Research 
DATE 27 April 2015, Monday 
TIME 10:00 am to 11:00 am 
VENUE E5-02-32, Engineering Blk E5, Faculty of Engineering, NUS 
FEES No Charge 

Integrated circuits (ICs) are the fundamental building blocks of essentially all computer or electronic systems. While outsourcing has become a trend in the IC industry to reduce the manufacturing cost, an untrusted foundry that has full access to the hardware may easily compromise the security of the manufactured ICs, such as embedding hardware Trojans. Due to the presence of process variation during manufacturing and the huge numbers of transistors in the ICs, the traditional system or software security mechanisms cannot address the hardware security challenges. In this talk, I will introduce a consistency-based IC characterization approach to detect and diagnose hardware Trojans. My key observation is that the behavior of the malicious hardware components exhibit inconsistent patterns in the observable side channels of the target IC, such as power and timing properties. Therefore, my approach is to characterize the gate-level IC properties and conduct consistency analysis to identify the hardware Trojans. While introducing the technical approach, I will mainly focus on how the consistency-based technique can successfully address two major challenges, namely the scalability issue and the lack of Trojan-free golden chips. In addition, I will demonstrate how a similar IC side channel characterization approach, if not controlled properly, can be leveraged by an attacker to conduct reverse engineering attacks on physical unclonable functions (PUFs), as well as the countermeasure that I have developed to prevent such attacks. 

Dr Sheng Wei is currently a researcher at Adobe Research. He obtained his PhD in Computer Science from University of California, Los Angeles (UCLA) in 2013. His research has been focused on ensuring system security at multiple levels, from the lower-level hardware security and trust to the upperlevel system and application security. In particular, he has conducted system security research in the areas of hardware Trojan detection and diagnosis, physical unclonable functions (PUFs), hardware Intellectual property (IP) protection, as well as security of multimedia and mobile systems. He received the UCLA Cisco Outstanding Graduate Student Award upon his graduation from UCLA. 


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