Artificial immune system based mobile agent platform protection

An emerging technology for systems to communicate efficiently in the distributed environment is the mobile agent. The features of the mobile agent are too big when compared with the static agent and conventional communication system. However, the security issues of the mobile agent and mobile agent platform lags its usage. Even though the protection models are available for the mobile agent environment, the vulnerabilities still exist or the models need more computational time. To mitigate these issues related with the agent platform, this paper proposed an artificial immune system (AIS) based model. The proposed model will give the separation of duties and clones to handle multiple foreign agents simultaneously to achieve the computational efficiency. The experimental results and the constructed results from the experimental results have proved that this proposed model will consume less computational time when compared with the existing models. It will detect the malicious agent by extracting and matching the patterns with the available malicious patterns and also it can identify the new malicious patterns through monitoring the agent process.

► It will automatically identify the new malicious/non-malicious code.
► It can handle any number of agents at a time.
► There is no compromising problem because the agent will be quarantined at first.
► It will work in the form of the signature based as well as anomaly based technique.