International Association of Technology, Education and Development (IATED)
Abstract
Agents that travel through many hosts may cause a threat on the security of the visited hosts. Assets,
system resources, and the reputation of the host are few possible targets for such an attack. The
possibility for multi-hop agents to be malicious is higher compared to the one-hop or two-hop
boomerang agents. The travel history is one of the factors that may allow a server to evaluate the
trustworthiness of an agent. This paper proposes a technique to define levels of trust for multi-hop
agents that are roaming in a smart home environment. These levels of trust are used later to
determine actions taken by a host at the arrival of an agent. This technique uses fuzzy logic as a
method to calculate levels of trust and to define protective actions in regard to those levels
