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The paper deals with the following topics: algorithms; artificial intelligence; bioinformatics; geoinformatics; communication networks; computer architecture; VLSI; computer security; data mining; databases; distributed systems; financial systems; health informatics; image processing; information science; intelligent control systems; Internet; e-commerce; knowledge creation; middleware; mobile computing;...
With the advent of the computer networks, Internet becomes the most important information communication media, and electronic bulletin board systems (BBS) and personal Web sites play more and more important roles in academic information exchanges. The paper discusses the current state of academic BBS and personal Web sites in China, analyses their advantages and disadvantages in academic information...
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...
A honeypot is a type of information system that is used to obtain information on intruders in a network. When a honeypot is deployed in front of a firewall, it can serve as an early warning system. When deployed behind the firewall, it can serve as part of a defense-in-depth system and can be used to detect attackers who bypass the firewall and the intrusion detection system (IDS) or threats from...
In this paper, we study the problem of anomaly detection in high-dimensional network streams. We have developed a new technique, called Stream Projected Outlier deTector (SPOT), to deal with the problem of anomaly detection from high-dimensional data streams. We conduct a case study of SPOT in this paper by deploying it on 1999 KDD Intrusion Detection application. Innovative approaches for training...
The hierarchical graph neuron (HGN) implements a single cycle memorization and recall operation through a novel algorithmic design. The HGN is an improvement on the already published original graph neuron (GN) algorithm. In this improved approach, it recognizes incomplete/noisy patterns. It also resolves the crosstalk problem, which is identified in the previous publications, within closely matched...
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