Publication Type:

Conference Paper

Source:

International Symposium on Security in Computing and Communication, Springer Singapore, Jaipur, Rajasthan (2016)

ISBN:

9789811027383

URL:

http://link.springer.com/chapter/10.1007/978-981-10-2738-3_32

Keywords:

Data acquisition, Domain Name System (DNS), Malicious, Smith-Waterman, Wireshark

Abstract:

IT security is an issue in today world. This is due to many reasons such as, malicious domains. Predicting the malicious domain in a set of domains is important. Here we have proposed a method for analysing such domains. In this method Wireshark is used for capturing the network packets. These packets are further given to client server machine and store in server database which makes an interface between the wireshark and machine. The data from the server database are then compared with the dictionary to predict the malicious websites. It is identified in such a way that if a word in a domain matches with any one of the dictionary word then it is considered as non-malicious websites others are malicious websites.

Cite this Research Publication

B. Ashwini, Vijay Krishna Menon, and Soman, K. P., “Prediction of Malicious Domains Using Smith Waterman Algorithm”, in International Symposium on Security in Computing and Communication, Jaipur, Rajasthan, 2016.

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