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Journal Articles
- 2016
[j2]Claudio Taglienti, James Cannady:
The user attribution problem and the challenge of persistent surveillance of user activity in complex networks. J. Comput. Secur. 24(2): 235-288 (2016)- 2005
- [j1]Yun Wang, James Cannady, James Rosenbluth:
Foundations of computer forensics: A technology for the fight against computer crime. Comput. Law Secur. Rev. 21(2): 119-127 (2005)
Conference and Workshop Papers
- 2017
- [c15]Jeff Heaton, Steven McElwee
, James B. Fraley, James Cannady:
Early stabilizing feature importance for TensorFlow deep neural networks. IJCNN 2017: 4618-4624 - [c14]Steven McElwee, Jeffrey Heaton, James B. Fraley, James Cannady:
Deep learning for prioritizing and responding to intrusion detection alerts. MILCOM 2017: 1-5 - 2016
- [c13]James B. Fraley, James Cannady:
Enhanced detection of advanced malicious software. UEMCON 2016: 1-6 - 2013
- [c12]James Cannady:
The detection of temporally distributed network attacks using an adaptive hierarchical neural network. NaBIC 2013: 5-9 - 2012
- [c11]Jean-Pierre Nziga, James Cannady:
Minimal dataset for Network Intrusion Detection Systems via MID-PCA: A hybrid approach. IEEE Conf. of Intelligent Systems 2012: 453-460 - 2010
- [c10]Theodore O. Cochran, James Cannady:
Not so fast flux networks for concealing scam servers. CRiSIS 2010: 1-8 - [c9]James Cannady:
Detection of Distributed Attacks in Mobile Ad-hoc Networks using Self-organizing Temporal Neural Networks. ICAART (1) 2010: 229-234 - 2009
- [c8]James Cannady:
Distributed Detection of Attacks in Mobile Ad Hoc Networks Using Learning Vector Quantization. NSS 2009: 571-574 - [c7]Charles Pak, James Cannady:
Asset priority risk assessment using hidden markov models. SIGITE Conference 2009: 65-73 - 2005
- [c6]James Cannady:
Self-Organizing Distributed Intrusion Detection in Mobile Ad Hoc Networks. WSTST 2005: 233-242 - 2004
- [c5]Luis J. Gonzales, James Cannady:
A self-adaptive negative selection approach for anomaly detection. IEEE Congress on Evolutionary Computation 2004: 1561-1568 - 2003
- [c4]Mayukh Dass, James Cannady, Walter D. Potter:
LIDS: Learning Intrusion Detection System. FLAIRS 2003: 12-16 - [c3]Mayukh Dass, James Cannady, Walter D. Potter:
A Blackboard-Based Learning Intrusion Detection System: A New Approach. IEA/AIE 2003: 385-390 - 2001
- [c2]James Cannady, Raymond C. Garcia:
The Application of Fuzzy ARTMAP in the Detection of Computer Network Attacks. ICANN 2001: 225-230 - 2000
- [c1]James Cannady:
Applying CMAC-Based On-Line Learning to Intrusion Detection. IJCNN (5) 2000: 405-410
Reference Works
- 2011
- [r1]James Cannady:
Object-Oriented Databases: Security Models. Encyclopedia of Information Assurance 2011
Informal and Other Publications
- 2019
- [i1]Steven McElwee, James Cannady:
Cyber Situation Awareness with Active Learning for Intrusion Detection. CoRR abs/1912.12673 (2019)
Coauthor Index
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