Intrusion detection in enterprise systems by combining and clustering diverse monitor data-Reference-Cited by-同舟云学术

Intrusion detection in enterprise systems by combining and clustering diverse monitor data

Published:2016-04-19 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Symposium and Bootcamp on the Science of Security
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Author:

Bohara Atul¹,Thakore Uttam¹,Sanders William H.¹

Affiliation:

1. University of Illinois at Urbana-Champaign

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/2898375.2898400

Reference26 articles.

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2. Imperva. Man in the Cloud (MITC) Attacks 2015. Technical Report. https://www.imperva.com/docs/HII_Man_In_The_Cloud_Attacks.pdf. Imperva. Man in the Cloud (MITC) Attacks 2015. Technical Report. https://www.imperva.com/docs/HII_Man_In_The_Cloud_Attacks.pdf.

3. Sony Pictures Entertainment. System Disruption Notice Letter 2014. http://oag.ca.gov/system/files/12%2008%2014%20letter_0.pdf. Sony Pictures Entertainment. System Disruption Notice Letter 2014. http://oag.ca.gov/system/files/12%2008%2014%20letter_0.pdf.

4. Symantec. Internet Security Threat Report Volume 20 2015. http://www.symantec.com/security_response/publications/threatreport.jsp. Symantec. Internet Security Threat Report Volume 20 2015. http://www.symantec.com/security_response/publications/threatreport.jsp.

5. Visual Analytics Community. VAST Challenge 2011. http://vacommunity.org/VAST+Challenge. Visual Analytics Community. VAST Challenge 2011. http://vacommunity.org/VAST+Challenge.

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