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