Overcoming an Untrusted Computing Base: Detecting and Removing Malicious Hardware Automatically
By Matthew Hicks, Murph Finnicum, Samuel T. King, Milo M. K. Martin, Jonathan M. Smith. IEEE Symposium on Security and Privacy, 2010
315 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Hardware and Architecture, Signal Processing
View Paper: https://www.semanticscholar.org/paper/718bb58e58163190b11d36a447e767b85c0b3708
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 Hardware and Architecture
- Ramesh Karri
- Seetharam Narasimhan
- Swarup Bhunia
- Masoud Rostami
- Farinaz Koushanfar
- Jeyavijayan Rajendran
- Ozgur Sinanoglu
- Yingjie Lao
In Signal Processing
Citations in the corpus
- A Primer on Hardware Security: Models, Methods, and Metrics (2014, background): “Translations and content mining are permitted for academic research only.”
- Hardware Trojan Attacks: Threat Analysis and Countermeasures (2014, methodology): “A hybrid hardware/software approach referred to as BlueChip [24] is also investigated which includes a design-time component as well as runtime monitoring.”
- FANCI: identification of stealthy malicious logic using boolean functional analysis (2013, methodology): “In prior related work [5], suspicious circuitry was defined as circuits that are not used or otherwise activated during design verification tests.”