Intrusion detection based upon computational intelligence is currently attracting
considerable interest from the research community. Characteristics of computational …

As modern software-based systems and applications gain in versatility and functionality, the
ability to manage inconsistent resources and service disparate user requirements becomes …

目前, 受生物免疫系统启发而产生的人工免疫系统(Artificial Immune System, AIS) 正在兴起,
它作为计算智能研究的新领域, 提供了一种强大的信息处理和问题求解范式. 该文侧重以AIS …

Computational Intelligence: An Introduction, Second Edition offers an in-depth exploration
into the adaptive mechanisms that enable intelligent behaviour in complex and changing …

Clustering is the division of data into groups of similar objects. In clustering, some details are
disregarded in exchange for data simplification. Clustering can be viewed as a data …

Host-based anomaly intrusion detection system design is very challenging due to the
notoriously high false alarm rate. This paper introduces a new host-based anomaly intrusion …

A method is introduced for detecting intrusions at the level of privileged processes. Evidence
is given that short sequences of system calls executed by running processes are a good …

A new approach, based on the k-Nearest Neighbor (kNN) classifier, is used to classify
program behavior as normal or intrusive. Program behavior, in turn, is represented by …

Intrusion detection systems are generally tested using datasets compiled at the end of last
century, justified by the need for publicly available test data and the lack of any other …

Intrusion-detection systems aim at detecting attacks against computer systems and
networks, or against information systems in general, as it is difficult to provide provably …