CSSE Seminar Series (CSSESS)

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There has been a growing interest in recent years in development of Artificial Immune Systems. AIS can be defined as computational systems inspired by theoretical immunology, observed immune functions, principles and mechanisms in order to solve problems. They can be seen as one of areas of unconventional computing, where principles of phenomena of physics and biology are used to design novel computational techniques. In the talk I will give an overview about Artificial Immune Systems and how we are using them for anomaly detection and protecting ad-hoc networks from attacks. Detection techniques are required to decide whether an unknown test sample of the observed behavior is produced by the underlying probability distribution that corresponds to the training set of normal examples. This problem can be generally viewed as the problem of learning to distinguish the regular behavior from an abnormal one. Thus we map it into the metaphor of learning to distinguish self from other and develop algorithms based on some phenomena in Human Immune Systems.

Dr. Helena Szczerbicka is a full professor at the Leibniz University of Hannover, Germany. Her research interests are in the area of simulation, modeling with stochastic Petri Nets, nature based computational methods and sensor networks. She is a co-author of over 100 papers. Since 2010 she is a vice President of the Society of Computer Simulation International (SCS). In 2011 she was awarded with the Distinguished Service Award from the SCS.

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