A proposed hybrid framework for improving supervised classifiers detection aecuraev over intrusion trace

摘要: The presence of intrusion attack traces in network traffic pattern seems to be major threatening cyber community. During a decade, many preventive and detection measures have had been developed overcome these illicit activities but the evolution zero-day exploits which has common behavior as find difficult resolve critics patterns. other faced by are majority resembles normal analysis. Contemporary or detective evolved either neither one-hand approach nor hybrid approaches. Objective this paper is elaborate discuss still their flaws incurred Also, suggesting new meta-heuristics algorithm called 'Grey Wolf Optimizer its working attitude towards fittest solution resolved from critics. effectiveness utilizing designing efficient model extensively compare with methodologies an intent prominent will effectively used Researchers future.