Current Research
My research efforts concern the
intersection between artificial intelligence and information
security. In particular I am working to develop new adaptive
intelligent systems that can be applied to protect computer systems and
networks. The following information provides details of my two
current research groups, information for students in my graduate
research courses, and a list of some of my publications. Students
interested in working with me should review my Expectations for Dissertation Students
page.
Research Groups
 |
 |
NEMESIS |
ARES |
Additional Available Doctoral Research Topics
Coursework Research
DCIS/DISS 898 |
MCIS 687 |
Selected Publications
Cannady, J. (2011). An Adaptive Neural Swarm Approach for Intrusion Defense in Ad Hoc Networks, Proceedings of SPIE. |
Cannady, J. (2010). Dynamic Neural Networks in the Detection of Distributed Attacks in Mobile Ad-Hoc Networks. International Journal Of Network Security And Its Applications. |
Cerkez, P. & Cannady, J. (2010). Automated detection of semagram-laden images using adaptive neural networks. Proceedings of SPIE, Volume 7708. |
Fuhs, J. & Cannady, J. (2010). A Model for Detecting Source Code Anomalies by Extending Petri Nets. . In Proceedings of the 5th International Conference on Information Warfare and Security. |
Cannady, J. (2010). Real-time Detection of Distributed Zero-day Attacks in Ad Hoc Networks. In Proceedings of the 5th International Conference on Information Warfare and Security. |
Cannady, J. (2010). Detection Of Distributed Attacks In Mobile Ad-Hoc Networks Using Self-Organizing Temporal Neural Networks. In Proceedings of the Second International Conference on Agents and Artificial Intelligence. |
Cannady, J. (2009). Distributed Detection of Attacks in Mobile Ad-hoc Networks Using Learning Vector Quantization. In Proceedings of the Network and System Security Conference (NSS 2009). |
Cannady, J. (2005). Self-Organizing Distributed Intrusion Detection in Mobile Ad Hoc Networks. Proceedings of the 2005 IEEE Workshop on Soft Computing as Transdisciplinary Science and Technology |
Dass, M., Cannady, J., & Potter, D. (2003). A Genetic Algorithm-based Intrusion Subclassifier Filter. In Proceedings of the 2003 ACM Southeast Conference. |
Dass, M., Cannady, J., & Potter, D. (2003). LIDS: Learning Intrusion Detection System. In Proceedings of the 2003 Florida Artificial Intelligence Symposium. |
Cannady, J. (2003). Identifying Complex Multi-Stage Network Attacks With Dynamic Petri Nets. In Proceedings of the 2003 Army Science Conference. |
Cannady, J. & Little, M. (2003). Representing Battlefield Network Attacks with Conceptual Structures. In Proceedings of the 2003 Army Science Conference. |
Cannady, J. (2002). Intrusion Detection – Capabilities and Considerations. Global Infosecurity 2000, World Markets Research Centre. London. |
Cannady, J. (2001, August). The Application of Fuzzy ARTMAP in the Detection of Computer Network Attacks. Proceedings of the 2001 International Conference on Artificial Neural Networks. |
Bauer, D, Cannady, J., & Garcia, R (2001, April). Detecting Anomalous Behavior: Optimization Of Network Traffic Parameters Via An Evolution Strategy. Proceedings of the 2001 IEEE SOUTHEASTCON Conference. |
Garcia, R., & Cannady, J. (2001, April). Boundary Expansion of Expert Systems: Incorporating Evolutionary Computation with Intrusion Detection Solutions. Proceedings of the 2001 IEEE SOUTHEASTCON Conference. |
Rhodes, B., Mahaffey, J., & Cannady, J. (2000, October). Multiple Self-Organizing Maps for Intrusion Detection. Proceedings of the 23rd National Information Systems Security Conference. |
Cannady, J. (2000, October). Next Generation Intrusion Detection: Autonomous Reinforcement Learning of Network Attacks. Proceedings of the 23rd National Information Systems Security Conference. |
Cannady, J. (2000, July). Applying CMAC-based On-line Learning to Intrusion Detection. Proceedings of the 2000 IEEE/INNS Joint International Conference on Neural Networks. |
Cannady, J. (1998) Applying Neural Networks to Misuse Detection. Proceedings of the 21st National Information Systems Security Conference, 368-381. |
Cannady, J. (1998). Neural Networks for Misuse Detection: Initial Results. Proceedings of the Recent Advances in Intrusion Detection ’98 Conference, 31-47. |
Cannady, J., Harrell, J., & Huggins, D. (1996). A Model of an Attack Database System. Proceedings of DOD Database Colloquium ’96, 78-90. |
Cramer, M.L., Cannady, J., & Harrell, J. (1996). New Methods of Intrusion Detection using Control-Loop Measurement. Proceedings of Technology in Information Security Conference (TISC) ‘ 96, 229-245. |
Cannady, J., & Harrell, J.R. (1996). A Comparative Analysis of Current Intrusion Detection Technologies. Proceedings of Technology in Information Security Conference (TISC) ’96, 212-218. |