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ICEIS
2002
IEEE
13 years 10 months ago
DIDAFIT: Detecting Intrusions in Databases Through Fingerprinting Transactions
: The most valuable information assets of an organization are often stored in databases and it is pertinent for such organizations to ensure the integrity and confidentiality of t...
Wai Lup Low, Joseph Lee, Peter Teoh
ICIAP
2005
ACM
14 years 5 months ago
Learning Intrusion Detection: Supervised or Unsupervised?
Abstract. Application and development of specialized machine learning techniques is gaining increasing attention in the intrusion detection community. A variety of learning techniq...
Pavel Laskov, Patrick Düssel, Christin Sch&au...
ESORICS
2006
Springer
13 years 8 months ago
Modeling and Evaluating the Survivability of an Intrusion Tolerant Database System
The immaturity of current intrusion detection techniques limits the traditional security systems in surviving malicious attacks. Intrusion tolerance approaches have emerged to over...
Hai Wang, Peng Liu
VLDB
2007
ACM
164views Database» more  VLDB 2007»
14 years 5 months ago
A new intrusion detection system using support vector machines and hierarchical clustering
Whenever an intrusion occurs, the security and value of a computer system is compromised. Network-based attacks make it difficult for legitimate users to access various network ser...
Latifur Khan, Mamoun Awad, Bhavani M. Thuraisingha...
SIGMOD
2001
ACM
166views Database» more  SIGMOD 2001»
14 years 5 months ago
ADAM: A Testbed for Exploring the Use of Data Mining in Intrusion Detection
Intrusion detection systems have traditionally been based on the characterization of an attack and the tracking of the activity on the system to see if it matches that characteriz...
Daniel Barbará, Julia Couto, Sushil Jajodia, Ning...