DocumentCode :
722533
Title :
Macroscopic view of malware in home networks
Author :
Finamore, Alessandro ; Saha, Sabyasachi ; Modelo-Howard, Gaspar ; Sung-Ju Lee ; Bocchi, Enrico ; Grimaudo, Luigi ; Mellia, Marco ; Baralis, Elena
Author_Institution :
Politec. di Torino, Turin, Italy
fYear :
2015
fDate :
9-12 Jan. 2015
Firstpage :
262
Lastpage :
266
Abstract :
Malicious activities on the Web are increasingly threatening users in the Internet. Home networks are one of the prime targets of the attackers to host malware, commonly exploited as a stepping stone to further launch a variety of attacks. Due to diversification, existing security solutions often fail to detect malicious activities that remain hidden and pose threats to users´ security and privacy. Characterizing behavioral patterns of known malware can help to improve the classification accuracy of threats. More importantly, as different malware might share commonalities, studying the behavior of known malware could help the detection of previously unknown malicious activities. We pose the research question if it is possible to characterize such behavioral patterns analyzing the traffic from known infected clients. We present our quest to discover such characterizations. Results show that commonalities arise but their identification may require some ingenuity. We also present our discovery of malicious activities that were left undetected by commercial IDS.
Keywords :
Internet; computer network security; data privacy; home networks; invasive software; pattern classification; telecommunication traffic; Internet; Web; behavioral pattern characterization; classification accuracy improvement; home networks; malicious activity detection; malware; traffic analysis; users privacy; users security; Home automation; IP networks; Internet; Malware; Privacy; Servers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Communications and Networking Conference (CCNC), 2015 12th Annual IEEE
Conference_Location :
Las Vegas, NV
ISSN :
2331-9860
Print_ISBN :
978-1-4799-6389-8
Type :
conf
DOI :
10.1109/CCNC.2015.7157987
Filename :
7157987
Link To Document :
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