Confidential data hemorrhaging from health-care providers pose financial risks to firms and medical risks to patients. We examine the consequences of data hemorrhages including pri...
Abstract. Analysis of data without labels is commonly subject to scrutiny by unsupervised machine learning techniques. Such techniques provide more meaningful representations, usef...
Flow based analysis of network traffic is commonly used to analyze and understand security-related events. Graphical analysis helps analysts detect patterns or behaviors that woul...
Mansour Alsaleh, David Barrera, Paul C. van Oorsch...
In this paper, we present a novel type and effect analysis for detecting memory errors in C source code. We extend the standard C type system with effect, region, and host annotat...
— In this paper, we analyze the impact of straight line routing in large homogeneous multi-hop wireless networks. We estimate the nodal load, which is defined as the number of p...