Abstract
Computers have proved to be an inevitable part of our modern life. Every work of our modern life involve directly or indirectly the use of computers. A lot of our personal as well as confidential work related information is stored in computer systems. Therefore, it is an important task to secure this information and protect it. In this paper, the aim is to establish the sense in computer system that could differentiate between the self process (i.e. processes that are not harmful to our computer system) and the non-self process (i.e. processes that are harmful and dangerous to our computer system). A process coming in the system is identified whether the process is part of the stable system i.e. self process or is it a harmful process which can destabilize a system i.e. non-self process. This is done with the help of the detectors generated by the genetic algorithm. This technique would be used to classify the processes at process level into SELF (non-harmful) and NON-SELF (harmful or dangerous). This would help the system to sense the processes before the harmful processes do any harm to the system.
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Kumar, A., Kumar, S. (2014). Genetic Algorithm Approach for Non-self OS Process Identification. In: Pant, M., Deep, K., Nagar, A., Bansal, J. (eds) Proceedings of the Third International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 259. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1768-8_46
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DOI: https://doi.org/10.1007/978-81-322-1768-8_46
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