DocumentCode :
3540879
Title :
Detecting Malicious Queries from Search Engine Traffic
Author :
Pan, Daoxin ; Bai, Wei ; Zhang, Siyu ; Zou, Futai
fYear :
2012
fDate :
21-23 Sept. 2012
Firstpage :
1
Lastpage :
4
Abstract :
Search Engines not only provides internet users with useful information, but also helps hackers find vulnerable websites to exploit. This paper presents an algorithm that detects malicious queries from search engine traffic. To evaluate our algorithm, we take 3000 queries from Google Hacking Database as seed, and detect malicious queries from Google traffic with a detection rate of 98.7% and a false positive rate of 2.9%. Experimental results show that the algorithm is effective on detecting and preventing latest types of attacks.
Keywords :
Buildings; Computer hacking; Databases; Educational institutions; Google; Search engines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications, Networking and Mobile Computing (WiCOM), 2012 8th International Conference on
Conference_Location :
Shanghai, China
ISSN :
2161-9646
Print_ISBN :
978-1-61284-684-2
Type :
conf
DOI :
10.1109/WiCOM.2012.6478492
Filename :
6478492
Link To Document :
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