Bibliography

1

The open directory project.
See https://www.news.com/2100-1023-877568.html.

2

Safe Browsing API, June 2007.
See https://code.google.com/apis/safebrowsing/.

3

Safe Browsing diagnostic page, May 2008.
See https://www.google.com/safebrowsing/diagnostic?site=yoursite.com.

4

ANAGNOSTAKIS, K. G., SIDIROGLOU, S., AKRITIDIS, P., XINIDIS, K., MARKATOS, E., AND KEROMYTIS, A. D.
Detecting Targeted Attacks Using Shadow Honeypots.

5

ANDERSON, D. S., FLEIZACH, C., SAVAGE, S., AND VOELKER, G. M.
Spamscatter: Characterizing Internet Scam Hosting Infrastructure.
In Proceedings of the USENIX Security Symposium (August 2007).

6

BARFORD, P., AND YAGNESWARAN, V.
An Inside Look at Botnets.
Advances in Information Security. Springer, 2007.

7

BEM, J., HARIK, G., LEVENBERG, J., SHAZEER, N., AND TONG, S.
Large scale machine learning and methods.
US Patent: 7222127.

8

COOKE, E., JAHANIAN, F., AND MCPHERSON, D.
The Zombie Roundup: Understanding, Detecting, and Disturbing Botnets.
In Proceedings of the first Workshop on Steps to Reducing Unwanted Traffic on the Internet (July 2005).

9

DEAN, J., AND GHEMAWAT, S.
Mapreduce: Simplified data processing on large clusters.
In Proceedings of the Sixth Symposium on Operating System Design and Implementation (Dec 2004), pp. 137-150.

10

EGELE, M., KRUEGEL, C., KIRDA, E., YIN, H., AND SONG, D.
Dynamic Spyware Analysis.
In Proceedings of the USENIX Annual Technical Conference (June 2007).

11

FRANKLIN, J., PAXSON, V., PERRIG, A., AND SAVAGE, S.
An Inquiry into the Nature and Causes of the Wealth of Internet Miscreants.
In Proceedings of the ACM Conference on Computer and Communications Security (CCS) (October 2007).

12

GU, G., PORRAS, P., YEGNESWARAN, V., FONG, M., AND LEE, W.
BotHunter: Detecting Malware Infection through IDS-driven Dialog Correlation.
In Proceedings of the $16^th$ USENIX Security Symposium (2007), pp. 167-182.

13

MODADUGU, N.
Web Server Software and Malware, June 2007.
See https://googleonlinesecurity.blogspot.com/2007/06/web-server-software-and-malware.html.

14

MOORE, D., VOELKER, G. M., AND SAVAGE, S.
Inferring Internet Denial of Service Activity.
In Proceedings of $10^{th}$ USENIX Security Symposium (Aug. 2001).

15

MOSER, A., KRUEGEL, C., AND KIRDA, E.
Exploring Multiple Execution Paths for Malware Analysis.
In Proceedings of the 2007 IEEE Symposium on Security and Privacy (May 2007).

16

MOSHCHUK, A., BRAGIN, T., DEVILLE, D., GRIBBLE, S., AND LEVY, H.
SpyProxy: Execution-based Detection of Malicious Web Content.

17

MOSHCHUK, A., BRAGIN, T., GRIBBLE, S., AND LEVY, H.
A crawler-based study of spyware in the web.
In Proceedings of Network and Distributed Systems Security Symposium (2006).

18

POLYCHRONAKIS, M., MAVROMMATIS, P., AND PROVOS, N.
Ghost Turns Zombie: Exploring the Life Cycle of Web-based Malware.
In Proceedings of the 1st USENIX Workshop on Large-Scale Exploits and Emergent Threats (LEET) (April 2008).

19

PROJECT, H., AND ALLIANCE, R.
Know your enemy: Tracking Botnets, March 2005.
See https://www.honeynet.org/papers/bots/.

20

PROVOS, N., MCNAMEE, D., MAVROMMATIS, P., WANG, K., AND MODADUGU, N.
The Ghost in the Browser: Analysis of Web-based Malware.
In Proceedings of the first USENIX workshop on hot topics in Botnets (HotBots'07). (April 2007).

21

RAJAB, M. A., ZARFOSS, J., MONROSE, F., AND TERZIS, A.
A Multifaceted Approach to Understanding the Botnet Phenomenon.
In Proceedings of ACM SIGCOMM/USENIX Internet Measurement Conference (IMC) (Oct., 2006), pp. 41-52.

22

RAMACHANDRAN, A., FEAMSTER, N., AND DAGON, D.
Revealing Botnet Membership using DNSBL Counter-Intelligence.
In Proceedings of the 2$^{nd}$ Workshop on Steps to Reducing Unwanted Traffic on the Internet (SRUTI) (July 2006).

23

The Route Views Project.
https://www.antc.uoregon.edu/route-views/.

24

SEIFERT, C., STEENSON, R., HOLZ, T., BING, Y., AND DAVIS, M. A.
Know Your Enemy: Malicious Web Servers.
https://www.honeynet.org/papers/mws/, August 2007.

25

WANG, Y.-M., BECK, D., JIANG, X., ROUSSEV, R., VERBOWSKI, C., CHEN, S., AND KING, S.
Automated web patrol with strider honeymonkeys.
In Proceedings of Network and Distributed Systems Security Symposium (2006), pp. 35-49.

26

WANG, Y.-M., NIU, Y., CHEN, H., BECK, D., JIANG, X., ROUSSEV, R., VERBOWSKI, C., CHEN, S., AND KING, S.
Strider honeymonkeys: Active, client-side honeypots for finding malicious websites.
See https://research.microsoft.com/users/shuochen/HM.PDF.

27

YIN, H., SONG, D., EGELE, M., KRUEGEL, C., AND KIRDA, E.
Panorama: Capturing System-wide Information Flow for Malware Detection and Analysis.
In Proceedings of the 14th ACM Conference of Computer and Communication Security (October 2007).