Review of Cyber Attack Detection: Honeypot System

Abstract

The number of connected devices in the network is growing day by day, and as the number of linked devices grows, so will the number of cyberattacks. All devices connected to the Internet has become a target of cyberattacks as network attack methods have developed. As a result, the security of network data cannot be neglected. To handle the future threats in this way, we employ honeypots, which are conceptual framework traps designed to block unauthorized access to both PCs and data. Every day, a large number of people access the internet throughout the world. Honeypot, also known as Intrusion Detection Technology, is a type of security technology that screens devices to prevent unwanted activities. This article will provide an overview of cyber security as well as a discussion of machine learning, cyber threats, and honeypot system-based techniques. This review paper was the result of a lot of research, and in assessing honeypots, the researchers found that they are becoming more of a concern for experts as an important security tool that can halt or limit system attacks and provide analysts with insights into the origins and behaviours of such attacks.

AARF: Autonomous Attack Response Framework for Honeypots to Enhance Interaction Based on Multi-Agent Dynamic Game

“…A honeypot is a proactive, aggressive network spoofing defense technology. It is able to simulate real services to attract attackers to attack and collect attack data, analyze attack behavior, and protect real systems from attacks [24][25][26]. A network environment where multiple honeypots are intricately deployed is known as a honeynet.…”

Analysis of Malicious Files Gathering via Honeypot Trap System and Benchmark of Anti-Virus Software

“…While adware can occasionally be safe, some pop-ups also aim to gather data and information through targeted advertisements in addition to displaying advertisements. It can use numerous advertising links to route you to malicious websites and infected pages 3 .…”

“…The collected malware should be investigated through open sources. The use of trap systems called Honeypot [3] which attract attackers to find malware used in current attacks and make them think that they have gained access to a real system is also preferred by researchers.…”

IoT-DH dataset for classification, identification, and detection DDoS attack in IoT

“…The Internet of Things (IoT) enables interconnectedness among devices, fostering data exchange for automation and informed decision-making across various sectors [ 2 , 3 , 4 ]. Security concerns in IoT necessitate safeguarding data and preventing device compromise.…”