Title :
Methodology of risk assessment in mobile agent system design
Author :
McLean, Ingo ; Szymanski, Boleslaw ; Bivens, Alan
Author_Institution :
Rensselaer Polytech. Inst., Troy, NY, USA
Abstract :
In mobile agent systems, depending on their purpose, various paths may be taken to provide security based on the vulnerability of the features. With widespread information sharing between potential system breakers ranging from amateur hackers to professional crackers, system security features are tested every day. As evident from frequent break-ins, security is often proven either inefficient or nonexistent. Clearly, a pragmatic methodology of determining the system security requirements is needed. The purpose is two-fold. First, we catalog and classify numerous security techniques and practices for mobile agent systems. We also provide the definitions and describe implementations of security features relevant to mobile agent systems. Additionally, we measure their impact on agent system design and performance. The second purpose is to illustrate the discussed methodology in the context of DOORS, a mobile agent system developed by us for network performance data collection. We discuss which security features are suitable for DOORS and how they impact the performance of the DOORS system.
Keywords :
client-server systems; data integrity; distributed object management; mobile agents; multi-agent systems; risk management; security of data; telecommunication security; DOORS system; amateur hackers; information sharing; mobile agent system design; network performance data collection; potential system breakers; professional crackers; risk assessment; security techniques; system security features; Computer hacking; Control systems; Data security; Environmental management; Information security; Military computing; Mobile agents; Programming; Risk management; System testing;
Conference_Titel :
Information Assurance Workshop, 2003. IEEE Systems, Man and Cybernetics Society
Print_ISBN :
0-7803-7808-3
DOI :
10.1109/SMCSIA.2003.1232398