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CCS
2009
ACM
14 years 2 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
IJWIS
2007
153views more  IJWIS 2007»
13 years 7 months ago
A security framework for agent-based systems
Purpose – This paper aims to address some security issues in open systems such as service-oriented applications and grid computing. It proposes a security framework for these sy...
Jamal Bentahar, Francesca Toni, John-Jules Ch. Mey...
LCN
2007
IEEE
14 years 1 months ago
Secure Anonymous Broadcasting in Vehicular Networks
—Vehicular networks face a typical quandary in their requirement for communications that are at once secure and private. While the messages broadcast between vehicles and between...
Christine Laurendeau, Michel Barbeau
CCS
2007
ACM
14 years 1 months ago
Alpaca: extensible authorization for distributed services
Traditional Public Key Infrastructures (PKI) have not lived up to their promise because there are too many ways to define PKIs, too many cryptographic primitives to build them wi...
Chris Lesniewski-Laas, Bryan Ford, Jacob Strauss, ...
SECON
2008
IEEE
14 years 1 months ago
A Three-Tier Framework for Intruder Information Sharing in Sensor Networks
—In sensor networks, an intruder (i.e., compromised node) identified and isolated in one place can be relocated and/or duplicated to other places to continue attacks; hence, det...
Bin Tong, Santosh Panchapakesan, Wensheng Zhang