Artificial Immune Systems

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Publications

Dipankar Dasgupta, Sudip Saha. A Biologically Inspired Password Authentication System. In ACM proceedings of 5th Cyber Security and Information Intelligence Research Workshop (CSIIRW). Oak Ridge National Lab, Oak Ridge, TN: April, 2009.

Senhua Yu, Dipankar Dasgupta. Conserved Self Pattern Recognition Algorithm with Novel Detection Strategy Applied to Breast Cancer Diagnosis. Journal of Artificial Evolution and Applications. Volume Volume 2009, Article ID 130498, 12 pages,, Hindawi Publishing Corporation, 2009.

Dipankar Dasgupta, Rukhsana Azeem. An Investigation of Negative Authentication Systems. 3rd International Conference on Information Warfare and Security. Omaha, USA: April, 2008.

Senhua Yu, Dipankar Dasgupta. Conserved Self Pattern Recognition Algorithm. In the proceedings of the 7th International Conference in Artificial Immune System (ICARIS). Phuket, Thailand: August, 2008.

Zhou Ji, Dipankar Dasgupta. V-Detector : An Efficient Negative Selection Algorithm with Probably Adequate Detector Coverage.. In Special Issue of Information Science on Artificial Immune Systems.Tadeusz Burczynski (Guest Editor). Elsevier, December, 2008.

Z. Ji, D. Dasgupta. Revisiting Negative Selection Algorithms. Issue 15.2. Evolutionary Computation Journal. July, 2007.

S. Balachandran, D. Dasgupta, F. Nino, D. Garrett. A Framework for Evolving Multi-Shaped Detectors in Negative Selection. IEEE Symposium on Foundations of Computational Intelligence. Honolulu, Hawaii: April, 2007.

D. Dasgupta. Immuno-Inspired Autonomic System for Cyber Defense. Information Security Technical Report,Elsevier Ltd,. Volume 12, Issue 4. December, 2007.
(Computer Science Technical Report)

D. Dasgupta. Advances in Artificial Immune Systems. IEEE Computational Intelligence Magazine. November, 2006.

U. Garain, M. P. Chakraborty, D. Dasgupta. Recognition of Handwritten Indic Script using Clonal Selection Algorithm. 5th International Conference (ICARIS), Lecture Notes in Computer Science. Oeiras, Portugal: September, 2006. 256-266.

Z. Ji, D. Dasgupta, Z. Yang, H. Teng. Analysis of Dental Images using Artificial Immune Systems. Congress on Evolutionary Computation (CEC at WCCI). Vancouver, Canada: July, 2006.

Z. Ji, D. Dasgupta. Applicability Issues of the Real-Valued Negative Selection Algorithms. Genetic and Evolutionary Computation Conference (GECCO), (Received Best Paper Award). Seattle, Washington, July, 2006.

S. Balachandran, D. Dasgupta, L. Wang. A Hybrid Approach for Misbehavior Detection in Wireless Ad-Hoc Networks. Symposium on Information Assurance. New York, New York: June, 2006.

S. Balachandran, D. Dasgupta, F. Nino, D. Garrett. A General Framework for Evolving Multi-Shaped Detectors in Negative Selection. Resubmitted to a Journal. January, 2006.

Z. Ji. A Boundary-Aware Negative Selection Algorithm. In the 9th IASTED International Conference on Artificial Intelligence and Soft Computing. Benidorm, Spain: 2005.

D. Dasgupta, F. Gonzalez, V. Rao Vemuri Ed.. Artificial Immune Systems in Intrusion Detection. Auerbach Publications, November, 2005. 165-208.
from the book "Enhancing Computer Security with Smart Technology"

Z. Ji, D. Dasgupta. Estimating the Detector Coverage in a Negative Selection Algorithm. Genetic and Evolutionary Computation (GECCO). Washington, D. C.: June, 2005.

D. Dasgupta, S. Yu, N. Majumdar. MILA -- Multi-Level Immune Learning Algorithm and its application to Anomaly Detection. Soft Computing Journal. Volume 9, Issue 3. March, 2005. 172-184.
online publication was in December 2003

U. Aickelin, D. Dasgupta, E. K. Burke Ed., G. Kendall Ed.. Artificial Immune Systems. Springer, 2005.
from the book "Search Methodologies: Introductory Tutorials in Optimization and Decision Support Techniques"

D. Dasgupta, K. Krishna Kumar, D. Wong, M. Berry. Immunity-Based Aircraft Fault Detection System. American Institute of Aeronautics and Astronautics. Chicago, Illinois: September, 2004.

D. Dasgupta, K. Krishna Kumar, D. Wong, M. Berry. Negative Selection Algorithm for Aircraft Fault Detection. 3rd International Conference on Artificial Immune Systems. Catania, Italy: September, 2004.

Z. Ji, D. Dasgupta. Real-Valued Negative Selection Using Variable-Sized Detectors. Genetic and Evolutionary Computation Conference (GECCO). Seattle, Washington: June, 2004.

Z. Ji, D. Dasgupta. Augmented Negative Selection Algorithm with Variable-Coverage Detectors. Congress on Evolutionary Computation. Portland, Oregon: June, 2004.

F. Gonzalez D. Dasgupta. Anomaly Detection Using Real-Valued Negative Selection. Journal of Genetic Programming and Evolvable Machines. Volume 4, Issue 4. December, 2003. 383-403.

Y. Cao, D. Dasgupta, A. Ghose Ed., S. Tsutsui Ed.. An Immunogenetic Approach in Chemical Spectrum Recognition. Springer-Verlag, 2003. 897-914.
from the book "Advances in Evolutionary Computation"

Z. Ji, D. Dasgupta. Artificial Immune System (AIS) Research in the Last Five Years. Congress on Evolutionary Computation Conference (CEC). Canberra, Australia: December, 2003.

D. Dasgupta, S. Yu, N. S. Majumdar. MILA - Multilevel Immune Learning Algorithm. Genetic and Evolutionary Computation Conference (GECCO). Chicago, Illinois: July, 2003.

F. Gonzalez, D. Dasgupta, L. F. Nino. A Randomized Real-Valued Negative Selection Algorithm. Second International Conference on Artificial Immune Systems. UK: September, 2003.

M. Basu, J. Timmis, D. Dasgupta, D. D. Lee, G. R. Gao, K. A. Boahen. Biologically Motivated Computational Models. International Joint Conference on Neural Networks. July, 2003.

O. Nasraoui, F. Gonzalez, C. Cardona, C. Rojas, D. Dasgupta. A Scalable Artificial Immune System Model for Dynamic Unsupervised Learning. Genetic and Evolutionary Computation Conference (GECCO). Chicago, Illinois: July, 2003. 219-230.

F. Gonzalez, D. Dasgupta, J. Gomez. The Effect of Binary Matching Rules in Negative Selection. Genetic and Evolutionary Computation Conference (GECCO). Chicago, Illinois: July, 2003.

J. Gomez, F. Gonzalez, M. Kaniganti, D. Dasgupta. An Evolutionary Approach to Generate Fuzzy Anomaly (Attack) Signatures. Fourth Annual IEEE Information Assurance Workshop. West Point, New York: June, 2003. 251-259.

J. Gomez, F. Gonzalez, D. Dasgupta. An Immuno-Fuzzy Approach to Anomaly Detection. Volume 2, Twelfth IEEE International Conference on Fuzzy Systems (FUZZIEEE). May, 2003. 1219-1224.

F. Gonzalez, D. Dasgupta. Neuro-Immune and Self-Organizing Map Approaches to Anomaly Detection: A Comparison. First International Conference on Artificial Immune Systems. UK: September, 2002.

A. Tarakanov, D. Dasgupta. An Immunochip Architecture and Its Emulation. NASA/DoD Conference on Evolvable Hardware. Arlington, VA: July, 2002. 261-265.

O. Nasraoui, F. Gonzalez, D. Dasgupta. An Artificial Immune System Approach to Robust Data Mining. Genetic and Evolutionary Computation Conference (GECCO). New York, New York: July, 2002. 356-363.

D. Dasgupta, F. Gonzalez. An Immunity-Based Technique to Characterize Intrusions in Computer Networks. IEEE Transactions on Evolutionary Computation. Volume 6, Issue 3. June, 2002. 281-291.

D. Dasgupta, N. S. Majumdar. Anomaly Detection in Multidimensional Data Using Negative Selection Algorithm. Special Track on Artificial Immune Systems at WCCI. Volume 2, Congress on Evolutionary Computation. Hawaii: May, 2002. 1039-1044.

O. Nasraoui, F. Gonzalez, D. Dasgupta. The Fuzzy Artificial Immune System: Motivations, Basic Concepts, and Application to Clustering and Web Profiling. World Congress on Computational Intelligence (WCCI) and IEEE International Conference on Fuzzy Systems. Hawaii, May, 2002. 711-716.

S. Pramanik, R. Kozma, D. Dasgupta. Dynamical Neuro-Representation of an Immune Model and its Application for Data Classification. Volume 1, International Conference on Neural Networks, World Congress on Computational Intelligence. Honolulu, Hawaii: May, 2002. 130-135.

F. Gonzalez, D. Dasgupta, R. Kozma. Combining Negative Selection and Classification Techniques for Anomaly Detection. Volume 1, Congress on Evolutionary Computation. Honolulu, Hawaii: May, 2002. 705-710.

O. Nasraoui, D. Dasgupta, F. Gonzalez. The Promise and Challenges of Artificial Immune System Based Web Usage Mining: Preliminary Results. Workshop on Web Analysis at Second SIAM Internatioanl Conference on Data Mining (SDM). Arlington, Virginia: April, 2002. 29-39.

D. Dasgupta, F. Nino. A Comparison of Negative and Positive Selection Algorithms in Novel Pattern Detection. Volume Volume: 1, IEEE International Conference on Systems, Man and Cybernetics (SMC). Nashville, October, 2000. 125-130.

D. Dasgupta, M. Krishnan. Role of Germinal Center: From a Computational Viewpoint. Workshop on Artificial Immune Systems at International Conference Genetic and Evolutionary Computation (GECCO). Las Vegas, Nevada: July, 2000.

A. Tarakanov, D. Dasgupta. A Formal Model of an Artificial Immune System. BioSystems. Volume 55, Issue 1-3. February, 2000. 151-158.

D. Dasgupta. Information Processing Mechanisms of the Immune System. McGraw-Hill, December, 1999.
from the book "New Ideas in Optimization"

D. Dasgupta. Immunity-Based Intrusion Detection Systems: A General Framework. Twenty-second National Information Systems Security Conference (NISSC). October, 1999. 147-160.

A. Tarakanov, D. Dasgupta. A Formal Immune System. Third International Workshop on Information Processing in Cells and Tissues (IPCAT 99). Indianapolis, Indiana: August, 1999.

D. Dasgupta, Y. Cao, C. Yang. An Immunogenetic Approach to Sprectra Recognition. International Conference of Genetic and Evolutionary Computation (GECCO). 149-155, July, 1999.

D. Dasgupta, S. Forrest. Artificial Immune Systems in Industrial Applications. Volume 1, Second International Conference on Intelligent Processing and Manufacturing of Materials (IPMM). Honolulu, Hawaii: July, 1999. 257-267.

D. Dasgupta. An Overview of Artificial Immune Systems and Their Applications. Springer-Verlag, November, 1998. 3-23.
from the book "Artificial Immune Systems and Their Applications"

D. Dasgupta, S. Forrest. An Anomaly Detection Algorithm Inspired by the Immune System. Springer-Verlag, November, 1998. 262-277.
from the book "Artificial Immune Systems and their Applications"

D. Dasgupta. An Artificial Immune System as a Multi-Agent Decision Support System. Volume 4, IEEE International Conference on Systems, Man and Cybernetics (SMC). San Diego, California: October, 1998. 3816-3820.

D. Dasgupta, N. Attoh-Okine. Immunity-Based Systems: A Survey. Volume 1, IEEE International Conference on Systems, Man and Cybernetics. Orlando, Florida: October, 1997.

D. Dasgupta. Artificial Neural Networks and Artificial Immune Systems: Similarities and Differences. Volume 1, IEEE International Conference on Systems, Man and Cybernetics. Orlando, Florida: October, 1997.

D. Dasgupta. Artificial Neural Networks vs. Artificial Immune Systems. Sixth International Conference on Intelligent Systems (ICIS). Boston, Massachusetts: June, 1997.

D. Dasgupta. A New Algorithm for Anomaly Detection in Time Series Data. International Conference on Knowledge Based Computer Systems(KBCS). Bombay, India: December, 1996.

D. Dasgupta. Using Immunological Principles in Anomaly Detection. Artificial Neural Networks in Engineering (ANNIE) Conference. St. Louis, Missouri: November, 1996.

D. Dasgupta, S. Forrest. Novelty Detection in Time Series Data using Ideas from Immunology. Fifth International Conference on Intelligent Systems. Reno, Nevada: June, 1996.
received the best paper award

D. Dasgupta, S. Forrest. Tool Breakage Detection in Milling Operations Using a Negative-Selection Algorithm Technical Report No. CS95-5, Dept. of Computer Science. Albuquerque (University of New Mexico), New Mexico: August, 1995.