Artificial Intelligence and Security in Computing Systems

"Artificial Intelligence and Security in Computing Systems" is a peer-reviewed conference volume focusing on three areas of practice and research progress in information technologies. The methods of artificial intelligence section presents methods and algorithms which are the basis for applications of artificial intelligence environments. These papers include using fuzzy expert systems in political and economic matters, genetic algorithm application for optimalization of a ship's trajectory and using rough set theory in decision processes and application of neural network for classification problems. The multiagent systems section includes laboratory research on multiagent intelligent systems as well as upon their applications in transportation and information systems. The use of natural language in multiagent information systems is described in detail. The general design of the simulation system for a light airplane, created as a part of an intelligent multiagent tutoring system, is also presented. The computer security and safety section presents techniques and algorithms which should be of interest to practitioners. In general, it focuses on new cryptographic algorithms (including a symmetric key encryption scheme, hash functions, secret generation and sharing schemes and secure data storage), a formal language for policy access control description and its implementation and risk management methods (used for continuous analysis both in distributed network and software development projects).