HONEYPOT: Intrusion Detection System

Akshay, Akshat Divya; Bhushan, Anchit; Anand, Nihal; Khemka, Rishabh; A, Sumithra Devi K

doi:10.36079/lamintang.ijeste-0301.66

Cited by 7 publications

(2 citation statements)

References 7 publications

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“…In the realm of cybersecurity, a honeypot serves as a mechanism to discover, divert, or counter any unauthorized exploitation of information systems. A honeypot is essentially a decoy system that is designed to attract and trap potential attackers by imitating a vulnerable system or application [9][10][11]. The global average cost of a Data breach is about 4.35 USD.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Honeypot-based IDS for Cyber Attack Detection using Generative Adversarial Networks

Karthigha,

Latha,

2024

Preprint

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Cyber Intrusion is the most threatening expression in the cyber world, and it is a dangerous crime that many corporations and individuals who are a part of the Cyber World are horrified of. It results from not only a financial loss but also includes personal data which is impacted as a flooded river when the data is exposed in a data breach. Cyber Intrusion Detection System refers to a technology utilized for recognizing and notifying any illicit entry to a network system or network device. It analyses network traffic logs files maintained by a device and reports or alerts when an outsider is trying to gain access to a network. A honeypot is a technology that acts as a catchy pot of honey for an attacker. When an attacker tries to catch the pot, the Honeypot system will alert the administrator and block it. These technologies can be combined with Artificial Intelligence to automate and improve the attack prediction rate so that attackers will be prevented. A network design is proposed for the correct placement of a honeypot in the network. Datasets extracted from implementing a honeypot and KDD-99 are used in this research experimentation. The datasets are trained using Generative Adversarial Networks, a deep learning-based generative model. From the results, it is inferred that the GAN model helps in achieving enhanced performance metrics in terms of accuracy and optimum training time in both datasets.

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Section: Introductionmentioning

confidence: 99%

Intelligent Honeypot-based IDS for Cyber Attack Detection using Generative Adversarial Networks

Karthigha,

Latha,

2024

Preprint

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“…A honeypot is a cybersecurity prevention tool that is compromised and located in a critical network area to gather data about potential attackers [9]. Honeypots are a new technology with significant potential for network security.…”

Section: Introductionmentioning

confidence: 99%

R2NET: Storage and Analysis of Attack Behavior Patterns

2023

KSII TIIS

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Cloud computing has evolved significantly, intending to provide users with fast, dependable, and low-cost services. With its development, malicious users have become increasingly capable of attacking both its internal and external security. To ensure the security of cloud services, encryption, authorization, firewalls, and intrusion detection systems have been employed. However, these single monitoring agents, are complex, time-consuming, and they do not detect ransomware and zero-day vulnerabilities on their own. An innovative Record and Replay-based hybrid Honeynet (R2NET) system has been developed to address this issue. Combining honeynet with Record and Replay (RR) technology, the system allows fine-grained analysis by delaying time-consuming analysis to the replay step. In addition, a machine learning algorithm is utilized to cluster the logs of attackers and store them in a database. So, the accessing time for analyzing the attack may be reduced which in turn increases the efficiency of the proposed framework. The R2NET framework is compared with existing methods such as EEHH net, HoneyDoc, Honeynet system, and AHDS. The proposed system achieves 7.60%, 9.78%%, 18.47%, and 31.52% more accuracy than EEHH net, HoneyDoc, Honeynet system, and AHDS methods.

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Using rootkits hiding techniques to conceal honeypot functionality

Mohammadzad

Karimpour

2023

Journal of Network and Computer Applications

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HONEYPOT: Intrusion Detection System

Cited by 7 publications

References 7 publications

Intelligent Honeypot-based IDS for Cyber Attack Detection using Generative Adversarial Networks

Intelligent Honeypot-based IDS for Cyber Attack Detection using Generative Adversarial Networks

R2NET: Storage and Analysis of Attack Behavior Patterns

Using rootkits hiding techniques to conceal honeypot functionality

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