Malware is a worldwide epidemic. Studies suggest that the impact of malware is getting
worse. Malware detectors are the primary tools in defense against malware. The quality of …

Outliers once upon a time regarded as noisy data in statistics, has turned out to be an
important problem which is being researched in diverse fields of research and application …

Nowadays, privacy protection has become an important issue in data mining. k-means
clustering and kNN classification are two popular data mining algorithms, which have been …

This paper presents the adaptation of an immune network model, originally proposed to
perform information compression and data clustering, to solve multimodal function …

目前的入侵检测系统存在着在先验知识较少的情况下推广能力差的问题. 在入侵检测系统中应用
支持向量机算法, 使得入侵检测系统在小样本(先验知识少) 的条件下仍然具有良好的推广能力 …

IMAGE COURTESY OF THOMAS SMITH AND TIMOTHY BAKER AT PURDUE UNIVERSITY
plex set of events takes place, usually resulting in elimination of the antigen by scavenger …

Outlier detection has been a very important concept in the realm of data analysis. Recently,
several application domains have realized the direct mapping between outliers in data and …

Artificial immune systems (AIS) can be defined as computational systems inspired by
theoretical immunology, observed immune functions, principles and mechanisms in order to …

For many centuries, people have tried to learn about the state of their health. Initially, in the
pre-technological period, they had to rely only on their senses. Then there were simple tools …

Copilot is a coprocessor-based kernel integrity monitor for commodity systems. Copilot is
designed to detect malicious modifications to a host's kernel and has correctly detected the …