Applying CMAC-Based On-Line Learning to Intrusion Detection. - James Cannady (IJCNN (5), 2000)

The Application of Fuzzy ARTMAP in the Detection of Computer Network Attacks. - James Cannady; Raymond C. Garcia (ICANN, 2001)

LIDS: Learning Intrusion Detection System. - Mayukh Dass; James Cannady; Walter D. Potter (FLAIRS, 2003)

A Blackboard-Based Learning Intrusion Detection System: A New Approach. - Mayukh Dass; James Cannady; Walter D. Potter (IEA/AIE, 2003)

A self-adaptive negative selection approach for anomaly detection. - Luis J. Gonzales; James Cannady (IEEE Congress on Evolutionary Computation, 2004)

Self-Organizing Distributed Intrusion Detection in Mobile Ad Hoc Networks. - James Cannady (WSTST, 2005)

Foundations of computer forensics: A technology for the fight against computer crime. - Yun Wang; James Cannady; James Rosenbluth (Comput. Law Secur. Rev., 2005)

Distributed Detection of Attacks in Mobile Ad Hoc Networks Using Learning Vector Quantization. - James Cannady (NSS, 2009)

Asset priority risk assessment using hidden markov models. - Charles Pak; James Cannady (SIGITE Conference, 2009)

Not so fast flux networks for concealing scam servers. - Theodore O. Cochran; James Cannady (CRiSIS, 2010)

Detection of Distributed Attacks in Mobile Ad-hoc Networks using Self-organizing Temporal Neural Networks. - James Cannady (ICAART (1), 2010)

Object-Oriented Databases: Security Models. - James Cannady (Encyclopedia of Information Assurance, 2011)

Minimal dataset for Network Intrusion Detection Systems via MID-PCA: A hybrid approach. - Jean-Pierre Nziga; James Cannady (IEEE Conf. of Intelligent Systems, 2012)

The detection of temporally distributed network attacks using an adaptive hierarchical neural network. - James Cannady (NaBIC, 2013)

Enhanced detection of advanced malicious software. - James B. Fraley; James Cannady (UEMCON, 2016)

The user attribution problem and the challenge of persistent surveillance of user activity in complex networks. - Claudio Taglienti; James Cannady (J. Comput. Secur., 2016)

Early stabilizing feature importance for TensorFlow deep neural networks. - Jeff Heaton; Steven McElwee; James B. Fraley; James Cannady (IJCNN, 2017)

Deep learning for prioritizing and responding to intrusion detection alerts. - Steven McElwee; Jeffrey Heaton; James B. Fraley; James Cannady (MILCOM, 2017)

Cyber Situation Awareness with Active Learning for Intrusion Detection. - Steven McElwee; James Cannady (CoRR, 2019)