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Publications (2)0 Total impact

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    ABSTRACT: Multi agent system (MAS) is an emerging subfield of distributed artificial intelligence, but it has already proven its metal as a significant technology that converted the mind of researchers to develop the autonomous applications. The primary problem that is fueling the need for MAS at design time is to predict all the possible situations and behaviors which would be faced by multi agent systems during its execution, so they must be dynamic and have the capability to learn from and adapt to their environments accordingly. Currently, all MASs uses static approach to load the transport level protocols without taking into consideration the requirements of the protocol by the application. To overcome the aforementioned problem in this paper we proposed a solution for message transport services that predicts the environment by calculating the frequency of protocols to dynamically upload the transport protocols. This enables the MAS to efficiently utilize the resources and when the particular task has been accomplished, free the resources and download the protocol as well. Moreover, it will support future transportation requirements that will be easily plug-in with the existing infrastructure. Adaptability at the transport level protocols not only adds efficiency to the MAS but also make it more flexible and scaleable that ultimately increases the efficiency of overall system.
    Information Technology: New Generations, 2008. ITNG 2008. Fifth International Conference on; 05/2008
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    ABSTRACT: Expert are more focusing on the autonomy of processing, being able to provide solution intelligently. Distributed computing provides us with the facility of autonomy of sites. Multi-agent system (MAS) are also a branch of distributed computing. In a MAS distributed system, agent is able to work with other agents and to make reasoning about the environment in which it is currently working. Agent works on different platform open network i.e. LAN, WAN, Internet, which increases the malicious behavior in the environment. With this open environment one can not trust with surety as there is no one accountable for this misbehavior. There should be some security measures which enhance the security and trust for agent to defend themselves against attack of other agents and humans activities. To promote interoperability among agents there should be some trust between agents to migrate freely and without risk. Providing security services in the open environment is quite challenging and attractive. Agents mainly trust on two main component of FIPA reference model i.e. directory facilitator (DF) & agent management system (AMS). These two components must be enough trust worthy to gain trust of various agents. This research will be based on authentication of agents with DF to provide the secure environment e.g. if agent A register itself with DF, any other Agent B cannot delete or modify the Agent A services or the agent A itself. In future we will be working with AMS authentication. Authentication between application agent & DF uses simple authentication security layer (SASL) protocol includes a series of steps before agent can be authenticated at DF.
    High Capacity Optical Networks and Enabling Technologies, 2007. HONET 2007. International Symposium on; 12/2007