Detecting malicious inclusions in secure hardware: Challenges and solutions
By Xiaoxiao Wang, M. Tehranipoor, J. Plusquellic. 2008 IEEE International Workshop on Hardware-Oriented Security and Trust, 2008
342 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Electrical and Electronic Engineering, Hardware and Architecture
View Paper: https://www.semanticscholar.org/paper/cd4964dc8dd51607eece307986ceb6168900f528
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
In Electrical and Electronic Engineering
- Swarup Bhunia
- M. Tehranipoor
- Seetharam Narasimhan
- Farinaz Koushanfar
- Rajat Subhra Chakraborty
- Ramesh Karri
- Yingjie Lao
- Joseph Clements
In Hardware and Architecture
- M. Tehranipoor
- Swarup Bhunia
- Seetharam Narasimhan
- Rajat Subhra Chakraborty
- Farinaz Koushanfar
- Sergei P. Skorobogatov
- Ramesh Karri
- Yingjie Lao
Citations in the corpus
- Hardware Trojan: Threats and emerging solutions (2009, background): “…of Trojans – combinational (whose activation depends on the occurrence of a particular condition at certain internal nodes of the circuit) and sequential 166978-1-4244-4823-4/09/$25.00 ©2009 IEEE (whose activation depends on the occurrence of a specific sequence of rare logic values at…”
- A Survey of Hardware Trojan Taxonomy and Detection (2010, background): “(Additional details on Trojan classification and examples are available elsewhere.(5)) Researchers have designed many types of Trojans to evaluate their detection techniques by targeting them in an IC.”
- Breakthrough Silicon Scanning Discovers Backdoor in Military Chip (2012, background): “In addition, this approach will not detect Trojans designed to leak the information rather than take control of the hardware [10].”