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» Security Design Patterns: Survey and Evaluation
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CCS
2009
ACM
15 years 4 months ago
A framework for quantitative security analysis of machine learning
We propose a framework for quantitative security analysis of machine learning methods. Key issus of this framework are a formal specification of the deployed learning model and a...
Pavel Laskov, Marius Kloft
IMC
2006
ACM
15 years 3 months ago
Approximate fingerprinting to accelerate pattern matching
Pattern matching and analysis over network data streams is increasingly becoming an essential primitive of network monitoring systems. It is a fundamental part of most intrusion d...
Ramaswamy Ramaswamy, Lukas Kencl, Gianluca Iannacc...
DSS
2006
170views more  DSS 2006»
14 years 9 months ago
Adoption of internet banking: An empirical study in Hong Kong
This study investigates how customers perceive and adopt Internet Banking (IB) in Hong Kong. We developed a theoretical model based on the Technology Acceptance Model (TAM) with a...
T. C. Edwin Cheng, David Y. C. Lam, Andy C. L. Yeu...
CCS
2009
ACM
15 years 4 months ago
Active learning for network intrusion detection
Anomaly detection for network intrusion detection is usually considered an unsupervised task. Prominent techniques, such as one-class support vector machines, learn a hypersphere ...
Nico Görnitz, Marius Kloft, Konrad Rieck, Ulf...
CSFW
2009
IEEE
15 years 1 months ago
Cryptographic Protocol Synthesis and Verification for Multiparty Sessions
We present the design and implementation of a compiler that, given high-level multiparty session descriptions, generates custom cryptographic protocols. Our sessions specify pre-a...
Karthikeyan Bhargavan, Ricardo Corin, Pierre-Malo ...