Malware Detection Using Honeypot and Malware Prevention

Abstract

The main intention of this paper is to elaborately discuss about seriousness of Malware problem and project the importance. of online malware analysis in Malware defense research. Reaching the security of network systems is one of the most essential and popular technology in the area of information technology. One of the methods applied for network security is the use of honeypots. Network safety includes recording and analysis of network activities and captures, to find out the proof about the source of the attacks to the device safety. This is the simplest of all deployment technologies. As its name suggests, honeypots are on a network that is waiting for attackers to attack. That is, while the attacker provides what he wants and keeps track of it while keeping it busy  Honeypots are not always production-worthy, but they help ensure that managers have time to act.Examples of honeypots that can be deployed using the Sacrificial lamb strategy include Deception tool kit (DTK) and Specter. Deception Ports on Production Systems This deployment strategy mimics the various services on different ports of the system. For example, HTTP imitates on port 80 and SMTP imitates on port 25. The idea here is very similar to the idea of scapegoat technology. That is, an attacker can fool an attacker in such a way that they can take actions such as tracers, tricks, and so on while they are trying to crack the trick. This kind of deployment is the most common and least responsive. Examples of honeypots that can be deployed using this strategy include Honeyd and Specter.

Toward Enhancing Malware Detection Using Practical Swarm Optimization in Honeypot

“…Even the global literature did not analyze the relevant benefits of utilizing the three concepts (which are the PSO, FuzzyKNN, and the honeypot system) in one research. [29] 2. Literature review…”

“…Detection enhanced. Gupta and Dutta [29] explored honeypot systems and fuzzy logic ML models. Unique methods found multiple malware families.…”

“…Honeypot systems and fuzzy logic ML models were examined by T. Kiran [29] several malware families were found using novel methods. Honeypotand-fuzzy-logic active malware detection was discussed in their article.…”