S. Nasution

Publications (3)0 Total impact

• Source

  Available from: N. Suryana

  Article: Trust Level and Routing Selection for Mobile Agents in a Smart Home

  S. Nasution, P.H. Hartel, N. Suryana, N. Azman, S. Shahib
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  ABSTRACT: The central security concern for systems where agents roam is how to establish trust in the agent. We present a Fuzzy Logic mechanism to calculate a level of trust and an optimal route for a mobile agent system in a smart home. The mechanism consists of two parts. The first part calculates a trust level at the platform side to decide which actions should be allowed to a visiting mobile agent. The second part calculates an optimal route at the mobile agent side to decide an alternative destination in the case of rejection by a platform. We provide examples from smart home scenarios, showing how flexible the proposed mechanism is. The simulation has been implemented using Matlab Simulink.
  01/2010;
• Article: Trust Level and Routing Selection for Mobile Agents in a Smart Home (Extended version)

  S. Nasution, P. H. Hartel, N. Suryana, N. Azman, S. Shahib
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  ABSTRACT: The central security concern for systems where agents roam is how to establish trust in the agent. We present a Fuzzy Logic mechanism to calculate a level of trust and an optimal route for a mobile agent system in a smart home. The mechanism consists of two parts. The first part calculates a trust level at the platform side to decide which actions should be allowed by a visiting mobile agent. The second part calculates an optimal route at the mobile agent side to decide an alternative destination in the case of rejection by a platform. Examples are provided from smart home scenarios, showing how flexible the proposed mechanism is.
  01/2009;
• Source

  Available from: N. Suryana

  Conference Proceeding: The Application of Fuzzy Logic Controller to Compute a Trust Level for Mobile Agents in a Smart Home

  S. Nasution, N. Suryana, S. Shahib, N. A. Abu, P. H. Hartel
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  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.
  International Technology, Education and Development Conference (INTED), Valencia, Spain; 01/2009