Improving the Effectiveness of Deceptive Honeynets Through an Empirical Learning Approach
Faculty of Computing, Health and Science
School of Computer and Information Science
Over the last few years, network based intrusions have increased rapidly, due to the increase and popularity of various attack tools easily available today. Due to this increase in intrusions, the concept of network Honeypots are being developed, which can be used to trap and decode the attack methods of the malicious attackers. This paper will review the current state of honeypot technology as well as will describe the framework of how to improve the effectiveness of Deceptive Honeynets through the use of deception.