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

The emerging interdisciplinary area of biologically inspired network systems research is
reviewed. Examples of such systems found in the literature are grouped into two classes: in …

The artificial immune system (AIS) community has been vibrant and active for a number of
years now, producing a prolific amount of research ranging from modeling the natural …

Linguistic steganalysis depends on efficient detection features due to the diversity of syntax
and the polysemia of semantics in natural language processing. This paper presents a novel …

摘要仿生生物免疫系统中抗体对抗原的高效识别和记忆机理, 本文提出自组织抗体网络和抗体
生成算法用于解决电力变压器故障诊断问题. 自组织抗体网络中抗体类型与抗体浓度新定义的 …

Significant security problem for networked systems is hostile trespass by users or software.
Intruder is one of the most publicized threats to security. Network Intrusion Detection …

Artificial Immune Systems have been successfully applied to a number of problem domains
including fault tolerance and data mining, but have been shown to scale poorly when …

The demand for anytime, anywhere, anyhow communications in future generation networks
necessitates a paradigm shift from independent network services into a more harmonized …

4,918,653 A 4, 1990 Johri et al. A customized installation is created by allowing a user to
5,664.206 A* 9/1997 Murow et al................... TO4/8 select a pattern of software. Then …

Negative selection algorithms are immune-inspired classifiers that are trained on negative
examples only. Classification is performed by generating detectors that match none of the …