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WEBI
2009
Springer
15 years 8 months ago
Data Mining for Malicious Code Detection and Security Applications
: Data mining is the process of posing queries and extracting patterns, often previously unknown from large quantities of data using pattern matching or other reasoning techniques....
Bhavani M. Thuraisingham
ICON
2007
IEEE
15 years 8 months ago
Lightweight Detection of DoS Attacks
Denial of Service (DoS) attacks have continued to evolve and they impact the availability of Internet infrastructure. Many researchers in the field of network security and system ...
Sirikarn Pukkawanna, Vasaka Visoottiviseth, Panita...
DIM
2009
ACM
15 years 6 months ago
Using identity credential usage logs to detect anomalous service accesses
For e-commerce companies providing online services, fraudulent access resulting from theft of identity credentials is a serious concern. Such online service providers deploy a var...
Daisuke Mashima, Mustaque Ahamad
ACSAC
2004
IEEE
15 years 5 months ago
Detecting Attacks That Exploit Application-Logic Errors Through Application-Level Auditing
Host security is achieved by securing both the operating system kernel and the privileged applications that run on top of it. Application-level bugs are more frequent than kernel-...
Jingyu Zhou, Giovanni Vigna
WORM
2003
15 years 3 months ago
Detection of injected, dynamically generated, and obfuscated malicious code
This paper presents DOME, a host-based technique for detecting several general classes of malicious code in software executables. DOME uses static analysis to identify the locatio...
Jesse C. Rabek, Roger I. Khazan, Scott M. Lewandow...