Evaluating MultiAgent System Security using GoalQuestionMetric Approach and Fuzzy Logic MultiAgent Systems (MASes) are commonly used in many computing services. Hence, security aspects of these services should be guaranteed, especially, if the services are related to critical tasks. The evaluation methods of MASes security should report the security concerns. This paper introduces a general approach for evaluating the security of an agent in MAS environments. The proposed framework is based on GoalQuestionMetric (GQM) approach combined with fuzzy logic. It generates the GQM structure of the agent security. Then, fuzzy logic controllers are utilized to measure the security of the agent. The performance of the proposed method is measured in percentage of satisfying a set of security criteria. Experimental studies are conducted to evaluate the strengths and the weaknesses of MAS security aspects such as confidentiality, authentication, repudiation, and access control. Finally, the proposed framework is applied to a case study and the results are assessed.

A MultiAgent Approach for Hybrid Intrusion Detection in Industrial Networks: Design and Implementation The integration of Network Intrusion Detection Systems (Network IDS) in industrial networks has improved the security of these systems due to their ability to analyze network traffic in order to detect potential system intrusions. Unfortunately, their detection scope is often limited to strategical network locations and may therefore not be capable to detect intrusions occurring at other system locations (e.g., specific devices). Hence, it is necessary to increase their detection scope by further analyzing additional information pertaining to other system components. The introduction of these new information sources adds more complexity to the intrusion detection problem, as it is not only necessary to identify them, but it is also required to define how their authentication, capture and analysis is to be carried out. MultiAgent Systems are an architectural paradigm that can deal with such complexity. This paper presents a multiagent approach for hybrid intrusion detection that takes into consideration the aforementioned challenges. This approach is comprised of a multiagent hybrid intrusion detection architecture designed according to a set of properties. These properties consider IDSspecific requirements. It also takes into consideration current trends in the field of MultiAgent Systems to provide security, scalability and adaptability across multiple systems. The feasibility of this approach is validated through a prototypical implementation.