A Framework for Detecting Hardware Trojans in RTL Using Artificial Immune Systems
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-78841-4_12
Reference47 articles.
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2. Bhunia, S., Hsiao, M.S., Banga, M., Narasimhan, S.: Hardware Trojan attacks: threat analysis and countermeasures. Proc. IEEE 102(8), 1229–1247 (2014)
3. Narasimhan, S., Wang, X., Du, D., Chakraborty, R.S., Bhunia, S.: TeSR: a robust temporal self-referencing approach for hardware Trojan detection. In: 2011 IEEE International Symposium on Hardware-Oriented Security and Trust (HOST), pp. 71–74. IEEE, New York (2011)
4. Chakraborty, R.S., Wolff, F., Paul, S., Papachristou, C., Bhunia, S.: MERO: a statistical approach for hardware Trojan detection. In: Cryptographic Hardware and Embedded Systems-CHES 2009, pp. 396–410. Springer, New York (2009)
5. Zhang, X., Tehranipoor, M.: Case study: detecting hardware Trojans in third-party digital IP cores. In: 2011 IEEE International Symposium on Hardware-Oriented Security and Trust (HOST), pp. 67–70. IEEE, New York (2011)
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