PhishLive: A view of phishing and malware attacks from an edge router

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7799 LNCS, Issue , 2013, Pages 239-249

  Cao, Lianjie ^a   Probst, Thibaut ^b   Kompella, Ramana ^a  

^a PURDUE UNIVERSITY   (United States)

^b INSA   (France)

Author keywords

[No Author keywords available]

Indexed keywords

HTTP; WEBSITES;

ATTACK TRAFFIC; CAMPUS NETWORK; DRIVE-BY DOWNLOADS; EDGE ROUTERS; MALWARE ATTACKS; PHISHING; SECURITY THREATS; TEMPORAL CHARACTERISTICS;

MALWARE;

EID: 84875605043     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-36516-4_24     Document Type: Conference Paper

References (22)

1. Egelman, S., Cranor, L.F., Hong, J.: You've been warned: An empirical study of the effectiveness of web browser phishing warnings. In: CHI, 1065-1074 (April 2008)
2. Zhang, Y., Egelman, S., Cranor, L., Hong, J.: Phinding phish: Evaluating Anti-Phishing tools. In: NDSS (February 2007)
3. Prakash, P., Kumar, M., Kompella, R., Gupta, M.: Phishnet: Predictive blacklisting to detect phishing attacks. In: INFOCOM, pp. 1-5 (March 2010)
4. Ma, J., Saul, L.K., Savage, S., Voelker, G.M.: Beyond blacklists: Learning to detect malicious web sites from suspicious URLs. In: KDD, pp. 1245-1254 (June 2009)
5. Ramachandran, A., Feamster, N., Vempala, S.: Filtering spam with behavioral blacklisting. In: CCS (October 2007)
6. Garera, S., Provos, N., Chew, M., Rubin, A.D.: A framework for detection and measurement of phishing attacks. In: WORM, 1-8 (2007)
7. Zhang, Y., Hong, J.I., Cranor, L.F.: Cantina: A content-based approach to detecting phishing web sites. In: WWW, pp. 639-648 (May 2007)
8. Bayer, U., Habibi, I., Balzarotti, D., Kirda, E., Kruegel, C.: A view on current malware behaviors. In: LEET, pp. 1-11 (April 2009)
9. Rossow, C., Dietrich, C.J., Bos, H., Cavallaro, L., et al.: Sandnet: network traffic analysis of malicious software. In: BADGERS (April 2011)
10. Gu, G., Zhang, J.,Wenke, L.: BotSniffer: Detecting botnet command and control channels in network traffic. In: NDSS (February 2008)
11. Perdisci, R., Lee, W., Feamster, N.: Behavioral clustering of http-based malware and signature generation using malicious network traces. In: NSDI (April 2010)
12. Song, C., Zhuge, J., Han, X., Ye, Z.: Preventing drive-by download via inter-module communication monitoring. In: ASIACCS, pp. 124-134 (April 2010)
13. Whittaker, C., Ryner, B., Nazif, M.: Large-scale automatic classification of phishing pages. In: NDSS (February 2010)
14. Provos, N., Mavrommatis, P., Rajab, M.A., Monrose, F.: All your iframes point to us. In: IEEE S&P Conference (Oakland), pp. 1-15 (May 2008)
15. Maier, G., Feldmann, A., Paxson, V., Sommer, R., Vallentin, M.: An Assessment of Overt Malicious Activity Manifest in Residential Networks. In: Holz, T., Bos, H. (eds.) DIMVA 2011. LNCS, vol. 6739, pp. 144-163. Springer, Heidelberg (2011)
16. Google safe browsing API,https://developers.google.com/safe-browsing/
17. Webb, S., Caverlee, J., Pu, C.: Introducing the webb spam corpus: Using email spam to identify web spam automatically. In: CEAS (July 2006)
18. Webb, S., Caverlee, J., Pu, C.: Characterizing web spam using content and http session analysis. In: CEAS (July 2007)
19. Lee, S., Kim, J.: Warningbird: Detecting suspicious URLs in twitter stream. In: NDSS, pp. 1-13 (February 2012)
20. Konte, M., Feamster, N., Jung, J.: Dynamics of Online Scam Hosting Infrastructure. In: Moon, S.B., Teixeira, R., Uhlig, S. (eds.) PAM 2009. LNCS, vol. 5448, pp. 219-228. Springer, Heidelberg (2009)
21. Holz, T., Gorecki, C., Rieck, K., Freiling, F.: Measuring and detecting fast-flux service networks. In: NDSS (February 2008)
22. Bhargrava, K., Brewer, D., Li, K.: A study of URL redirection indicating spam. In: CEAS (July 2009)