Genetic program based data mining to reverse engineer digital logic

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 6241, Issue , 2006, Pages

  Smith III, James F ^a   Nguyen, ThanhVu H ^a  

^a NAVAL RESEARCH LABORATORY   (United States)

Author keywords

Data mining; Defect discovery; Genetic algorithms; Genetic programs; Knowledge discovery; Reverse engineering

Indexed keywords

DEFECT DISCOVERY; GENETIC PROGRAMS; KNOWLEDGE DISCOVERY;

COMPUTER PROGRAMMING; DATABASE SYSTEMS; FORMAL LOGIC; GENETIC ALGORITHMS; REVERSE ENGINEERING; SENSOR DATA FUSION;

DATA MINING;

EID: 33747339497     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.664952     Document Type: Conference Paper

References (6)

1. James F. Smith, III and ThanhVu H. Nguyen; "Data mining based automated reverse engineering and defect discovery", Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2005, B. Dasarathy, Vol. 5812, pp. 232-242, SPIE Proceedings, Orlando, 2005.
2. J.R., Koza, F.H. Bennett III, D. Andre, and M.A. Keane, Genetic Programming III: Darwinian Invention and Problem Solving. Chapter 2, Morgan Kaufmann Publishers, San Francisco, 1999.
3. James F. Smith, III, "Fuzzy logic resource manager: real-time adaptation and self-organization", Signal Processing, Sensor Fusion, and Target Recognition XIII, I. Kadar, Vol. 5429, pp. 77-88, SPIE Proceedings, Orlando, 2004.
4. James F. Smith, III, "Fuzzy logic resource manager: decision tree topology, combined admissible regions and the selfmorphing property", Signal Processing, Sensor Fusion, and Target Recognition XII, I. Kadar, pp. 104-114, SPIE Proceedings, Orlando, 2003.
5. James F. Smith, III, "Fuzzy Logic Resource Manager: Evolving Fuzzy Decision Tree Structure that Adapts in Real Time," Proceedings of the International Society of Information Fusion 2003, X. Wang, pp. 838-845, International Society of Information Fusion Press, Cairns, Australia, 2003,
6. J.P. Bigus, Data Mining with Neural Nets, Chapter 1, McGraw-Hill, New York, 1996.