A Perusal on Intrusion Detection and Deterrence Methodologies
Intrusion, Anomaly, Signature based
The increase in the security breach of computer systems and computer networks has led to the increase in the number of security tools that seek to protect these assets. Among these tools are intrusion detection and prevention systems (IDPS). IDPS are security systems that are used to detect and prevent security threats to computer systems and computer networks. These systems are configured to detect and respond to security threats automatically, thereby reducing the risk to monitored computers and networks. Intrusion detection and prevention systems use different methodologies such as signature based, anomaly based, stateful protocol analysis, and a hybrid system that combines some or all of the other systems to detect and respond to security threats. Intrusion detection and prevention system comes as an appliance or a software tool. The combinations of the methodologies, delivery mechanisms, and the technical requirements for properly configuring these systems make it difficult to understand and evaluate these systems. This problem is amplified by the lack of publicly available work and current data sets for use in evaluating the effectiveness of intrusion detection and prevention systems. In this paper we will offer a clear explanation of the detection methodologies used by the IDPSs and offer a way to compare these methodologies.
"A Perusal on Intrusion Detection and Deterrence Methodologies ", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.8, Issue 4, page no.1951 - 1957, April-2023, Available :https://ijsdr.org/papers/IJSDR2304301.pdf
Volume 8
Issue 4,
April-2023
Pages : 1951 - 1957
Paper Reg. ID: IJSDR_205470
Published Paper Id: IJSDR2304301
Downloads: 000347262
Research Area: Computer Science & Technology
Country: CHENNAI, TAMILNADU, INDIA
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
