Call For Paper Volume:8 Issue:2 Feb'2021 |

REAL TIME HONEYNET FOR INTRUSION DETECTION AND PREVENTION

Publication Date : 06/02/2021


DOI : 10.21884/IJMTER.2021.8007.HANRB

Author(s) :

Divyendu Shekhar , Abhijeet Chauhan , Abhinandan , Narendra Kumar.


Volume/Issue :
Volume 8
,
Issue 2
(02 - 2021)



Abstract :

Attacks on the internet are increasing rapidly and causing harm to our security systems. For minimizing these threats, it is necessary to have a system that has ability to detect and block them. A honeypot is a deception technology, designed to create a virtual trap to lure attackers to compromise the computer systems of an organization. A Honeynet is a group of high interaction honeypots on a highly monitored network. A honeypot can serve as an advanced security intelligence tool. Honeypots can also be used to analyze the type of attacks tried to compromise an information system to understand attacker behavior patterns and to improve the security policies. This paper proposes real-time honeynet intrusion detection system to investigate cybersecurity breaches to collect intel on how cybercriminals operate. The effectiveness of the existing methodologies were investigated to detect and prevent attacks. The study used open-source technologies which allows hackers to dynamically add or modify hacking incidences in a high-interaction honeynet system. It makes honeypots more attractive for hackers to spend more time on the intentionally compromised computer system to provide hacking evidence. Simulations showed the efficiency of the presented approach in collecting the information about the IP address, location and time of the attacks using centralised logging system.


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REAL TIME HONEYNET FOR INTRUSION DETECTION AND PREVENTION

February 1, 2021