AN INTELLIGENT PREDICTIVE SYSTEM FOR CYBERCRIME DETECTION AND CONTROL

ABSTRACT

The most significant drawbacks in the existing intrusion detection systems (IDSs) are traffic overload, unknown attacks, false positives and false negatives. We propose the design of AAIDHP (An Architecture for Intrusion Detection using Honey Pot), for nullifying the drawbacks of the existing systems. As a component, the honeypot cooperates with IDS, which increases flexibility, configurability and security of IDS.A honeypot will let the user make an attempt to intrude the system, thereby observing the intruder's activity and creating intruder signatures. However, the major limitation of the honeypots technology is that nowadays there are tools to detect honeypots .In order to hide honeypots, we propose the use of 'virtual honeypots' that is based on virtualization technology. We also present the definition of the honey pot, the description of this approach and a discussion of design. To successfully obtain the objectives of this research, A Constructive research method is used to structure the research goals. The design approaches for this study are the combination of the Top-Down design approach and Object-Oriented Design Approach (OODA) for developing the structure of the system. Object-oriented programming (OOP) is a computer programming model that organizes software design around data, or objects, rather than functions and logic. The programming language is PHP and JavaScript.