Negative Selection Approach Application in Network Intrusion Detection Systems

摘要: Abstract—Nature has always been an inspiration to researcherswith its diversity and robustness of systems, ArtificialImmune Systems are one them. Many algorithms were inspiredby ongoing discoveries biological immune systems techniquesand approaches. One the basic most common approachis Negative Selection Approach, which is simple easy toimplement. It was applied in many fields, but mostly anomalydetection for similarity idea. In this paper, areview given on application negative selection approachin network security, specifically intrusion detection system.As work field limited, we need understand whatthe challenges approach are. Recommendations givenby end paper future work. I. I NTRODUCTION Networks more vulnerable by time intrusions andattacks, from inside outside. Cyber-attacks makingnews headlines worldwide, as threats networks gettingbolder sophisticated. Reports 2011 2012are showing increase attacks, with Denial ofService (DoS) targeted attacks having a big share it.As reported web sites like [1] [2] [3], figures 1 2show motivations behind customer typesrespectively.Internal Advanced Persistent Threats (APT)are biggest network, they carefullyconstructed dangerous, due internal users’ privilegesto access resources. Figure 3 shows networksecurity concerns. With mind, increasing so-phistication new approaches protect networkresources under investigation, thatis concerned outside IntrusionDetection System.Intrusion [4] [5] [6] have around forquite some time, successful security system. An System (IDS) system that defines detectspossible within computer or gatheringand analysing information surrounding environment.