Title: Searching DNS for malicious domain registration: identification through hybrid cuckoo search metaphor and object-oriented implementation
Authors: Manash Sarkar; Soumya Banerjee; Aboul Ella Hassanieen
Addresses: Department of Computer Science, Birla Institute of Technology, Mesra, Deoghar Campus, Jasidih, Deoghar, Jharkhand 814142, India ' Department of Computer Science, Birla Institute of Technology, Mesra, Deoghar Campus, Jasidih, Deoghar, Jharkhand 814142, India ' Faculty of Computers and Information, Cairo University, Cairo, Egypt
Abstract: Several new domains are being registered everyday due to the rapid enhancement of web users. Out of those domains, substantial number of domains become harmful and may initiate malicious activities on the web. It is very difficult to segregate these types of domain to protect our system from different types of attack. The system becomes more vulnerable due to the malicious propagation of domains. It is too complex to identify the exact classification of malicious domain. Contemporary trend of adaptive and learning methodologies could assist to learn such pattern of ill defined domain activities. Hence, intelligent methodologies can be better suitable to support unsupervised classification of domain. Thus metaheuristics-based searching support algorithm called cuckoo search (CS) could be applied for this purpose. Finally, an insight of object oriented engineering to implement the proposed model has been initiated and elaborated future extension of the model has also been discussed.
Keywords: cuckoo search; metaheuristics; optimisation; malicious domain registration; fuzzy logic; domain name registration; DNS searching; object-oriented engineering; internet security.
International Journal of Reasoning-based Intelligent Systems, 2013 Vol.5 No.4, pp.280 - 289
Available online: 18 Jan 2014 *Full-text access for editors Access for subscribers Purchase this article Comment on this article