Diverse Methods for Signature based Intrusion Detection Schemes Adopted
Jyoti Snehi1, Abhinav Bhandari2, Vidhu Baggan3, Manish Snehi, Ritu4

1Jyoti Snehi, Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India.
2Abhinav Bhandari, Department of Computer Science and Engineering, Panjabi University, Patiala, India.
3Vidhu Baggan, Engineering Department, Infosys Limited, Chandigarh, India.
4Manish Snehi, Engineering Department, Infosys Limited, Chandigarh, India Ritu, Engineering Department, Infosys Limited, Chandigarh, India.

Manuscript received on May 25, 2020. | Revised Manuscript received on June 29, 2020. | Manuscript published on July 30, 2020. | PP: 44-49 | Volume-9 Issue-2, July 2020. | Retrieval Number: A2791059120/2020©BEIESP | DOI: 10.35940/ijrte.A2791.079220
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Intrusion Detection Systems (IDS) is used as a tool to detect intrusions on IT networks, providing support in network monitoring to identify and avoid possible attacks. Most such approaches adopt Signature-based methods for detecting attacks which include matching the input event to predefined database signatures. Signature based intrusion detection acts as an adaptable device security safeguard technology. This paper discusses various Signature-based Intrusion Detection Systems and their advantages; given a set of signatures and basic patterns that estimate the relative importance of each intrusion detection system feature, system administrators may help identify cyber-attacks and threats to the network and Computer system. Eighty percent of incidents can be easily and promptly detected using signature-based detection methods if used as a precautionary phase for vulnerability detection and twenty percent rest by anomaly-based intrusion detection system that involves comparing definitions of normal activity or event behavior with observed events in identifying the significant deviations and deciding the traffic to flag. 
Keywords: Intrusion detection system (IDS), Signature Based IDS, Anomaly Based IDS.