Geo-Honeypot-IDS: An AI-Based Intrusion Detection System using Distributed Honeypots
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GEO-Honeypot-IDS: An AI-Based Intrusion Detection System using Distributed Honeypots
1Naveen D, 2Rajesh L, 3Mohammed Dhakeer N, 4Mohammed Thaha, 5Mrs.C.Subalakshmi,
6Dr. T. Kumanan, 7Dr. M Nisha.
1,2,3 Students, Department of CSE
5,7 Assistant Professor, Department of CSE 6 Professor, Department of CSE
Dr.M.G.R Educational and Research Institute, Maduravoyal, Chennai 95, Tamil Nādu, India
Abstract:As internet applications, cloud computing and cyber infrastructure continue to expand fast, so has the number and sophistication of cyber-attacks. The traditional cybersecurity tools like firewalls and signature-based Intrusion Detection Systems (IDS) are not effective anymore to detect complex attacks like the zero-day attacks, distributed denial of- service (DDoS), and advanced persistent threats that can be located in various locations and continuously evolve. In this case we suggest Geo-Honeypot-IDS, which is a smart security system that incorporates AI-based intrusion detection and honeypots located in various geographical areas. Honeypots are virtual system which lures attackers and gives useful information regarding the attacks without compromising on real systems. By placing the honeypots in the various regions we can study the behaviour of the attacks depending on the origin of the attack, the origin of the attack and the rate of attacks. Machine learning is used to process the received information with the purpose of detecting malicious behaviour. The system offers real time threat information, minimizes false alerts and supports early detection of attack. Geo- Honeypot-IDS presents an answer to modern cybersecurity challenges and uses AI, honeypots, and geographic data to provide a scalable and efficient solution. It has an accuracy in detection of malicious activity of 97.00 percent, indicating its reliability.
Keywords - Artificial Intelligence, Cybersecurity, Distributed security, Honeypot, Intrusion Detection System, and Machine Learning.
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