JOURNAL ARTICLE

Honeypot based Intrusion Detection System for Cyber Physical System

G.Kingsle EdwinVinodh EwardsG. Jaspher W. KathrineG. Matthew PalmerA. BertiaS.J. Vijay

Year: 2022 Journal:   2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS) Pages: 958-962

Abstract

An intrusion detection system is a software programme or hardware that keeps an eye out for malicious activities or policy breaches on a network or in a system. Any intrusion activity or violation is often recorded centrally using a security information and event management system, alerted to an administrator, or both. Cyber physical systems link physical infrastructure and things to the internet and to one another by integrating sensing, computing, control, and networking into them. As a result, cyber assaults on the cyber-physical system can make the devices malfunction, and adequate intrusion detection is needed to protect the system. An essential tool for detecting network intrusion is a honeypot. Honeypots not only engage the attacker but also collect information that may be used to understand attacks and attackers on the network. As a result, the aim of the paper is to construct honeypot to catch attacks. Once an intrusion caused by the attacker is caught, the process of assaulting the system is stopped. The logs are also recorded so that network activity can be properly analysed.

Keywords:
Honeypot Intrusion detection system Computer security Cyber-physical system Computer science Network security Host-based intrusion detection system The Internet Construct (python library) Network administrator Process (computing) Software Intrusion prevention system Computer network Operating system

Metrics

8
Cited By
2.00
FWCI (Field Weighted Citation Impact)
19
Refs
0.86
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Network Security and Intrusion Detection
Physical Sciences →  Computer Science →  Computer Networks and Communications
Smart Grid Security and Resilience
Physical Sciences →  Engineering →  Control and Systems Engineering
Advanced Malware Detection Techniques
Physical Sciences →  Computer Science →  Signal Processing
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