We introduce the concept of membership-concealing overlay networks (MCONs), which hide the real-world identities of participants. We argue that while membership concealment is ort...
Eugene Y. Vasserman, Rob Jansen, James Tyra, Nicho...
Anomaly detection for network intrusion detection is usually considered an unsupervised task. Prominent techniques, such as one-class support vector machines, learn a hypersphere ...
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...
PERG is a pattern matching engine designed for locating predefined byte string patterns (rules) from the ClamAV virus signature database in a data stream. This paper presents PERG...
Multi-agent resource allocation is a growing area of research at the frontier between Economics and Computer Science. Despite the extensive theoretical work and raising number of ...