Enhancing Countermeasure Techniques in Agent Systems
نویسندگان
چکیده
Multi-agent systems are one of the fastest growing areas in computer science thanks to their synergistic properties and the applicability of their characteristics in both technological and non-technological areas. Virus and other malicious software writers have not ignored this fact and are now either taking advantage of multi-agent systems. In some cases, multi-agent methodologies are used to aid in the creation of malicious software. This paper examine another possibility: a malicious agent is created with the intention of taking advantage of open agent systems willing to execute mobile agents. After these malicious agents have been granted permission to execute, viral code is released. Because the multiagent system is presumably a trusted system, agents that run on it will bypass any current intrusion detection system and/or firewall. This paper proposes an additional method to prevent malicious attacks on agents and multi-agent systems. This enhancement consists of an agent-based sanctioning system that applies penalties to agents and multi-agent systems that behave in an anti-social manner, including malicious behavior.
منابع مشابه
Infrared Counter-Countermeasure Efficient Techniques using Neural Network, Fuzzy System and Kalman Filter
This paper presents design and implementation of three new Infrared Counter-Countermeasure (IRCCM) efficient methods using Neural Network (NN), Fuzzy System (FS), and Kalman Filter (KF). The proposed algorithms estimate tracking error or correction signal when jamming occurs. An experimental test setup is designed and implemented for performance evaluation of the proposed methods. The methods v...
متن کاملArtificial Intelligence Tools in Health Information Management
Application of ICT in health (eHealth) has become an integral part of modern healthcare systems. Electronic health information management has proven useful in improving quality of health care, reducing costs and facilitating health research. However, the increasing complexity of healthcare and the growing demand for high quality healthcare delivery has created a need for eHealth systems with t...
متن کاملOptimal adaptive leader-follower consensus of linear multi-agent systems: Known and unknown dynamics
In this paper, the optimal adaptive leader-follower consensus of linear continuous time multi-agent systems is considered. The error dynamics of each player depends on its neighbors’ information. Detailed analysis of online optimal leader-follower consensus under known and unknown dynamics is presented. The introduced reinforcement learning-based algorithms learn online the approximate solution...
متن کاملAnalysis of the Evolutionary Game Theory in Agent-Based Computational Systems: OPEC Oil-Producing Countries
This study suggests a new method for analysing the behavioral economics issues in the framework of game theory. In this context, bounded rational agents interact with one another in a strategic manner. Therefore, conventional economic modeling techniques are unable to explaine this kind of interactions. In this regard, evolutionary game theory and agent-based modeling are known as the most suit...
متن کاملIn-vitro evaluation of rutin and rutin hydrate as potential radiation countermeasure agents
Background: DNA damage is one of the major consequences of radiation exposure onto the biological systems. A series of compounds including flavanoids were found to render DNA protection against radiation damage. In this study we elucidated the potential of rutin and rutin hydrate to protect plasmid DNA against damage induced by irradiation. Materials and Methods: DPPH and hydroxyl radical scave...
متن کامل