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This paper is positioned around the notion that in an era of ubiquitous computing and digitalization of data, the Information Assurance in Security and Privacy (IASP) issues cannot be contained within geographic boundaries. Instead, they must be approached from a comparative cross-border perspective. Such a multi-dimensional inspection is even more critical because in the domain of electronic data...
Information security continues to evolve in response to disruptive changes with a persistent focus on information-centric controls and a healthy debate about balancing endpoint and network protection, with the goal of improved enterprise and business risk management. Economic uncertainty, intensively collaborative work styles, virtualization, increased outsourcing and ongoing compliance pressures...
The 3 most important issues for anomaly detection based intrusion detection systems by using data mining methods are: feature selection, data value normalization, and the choice of data mining algorithms. In this paper, we study primarily the feature selection of network traffic and its impact on the detection rates. We use KDD CUP 1999 dataset as the sample for the study. We group the features of...
Accelerated by the rapid deployment of distributed systems and the Internet, online collaboration and information sharing are pervasive in enterprise computing environment. With regard to the requirements of online collaboration and information sharing, authentication information needs flexible manipulation to facilitate federation across trust domains. To achieve identity federation for federated...
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