Data Mining for Cyber Security

Cr Ikemelu
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引用次数: 0

Abstract

Cyber security is concerned with protecting computer and network system from corruption due to malicious software including Trojan horses and virus. Security of our network system is becoming imperative as massive sensitive information is transmitted across the network. In this research paper, data mining application for cyber security is highly explored. We discussed various cyber-terrorism or attack committed across the network such as malicious intrusion, credit card fraud, identity thefts, and infrastructure attack. Data mining techniques such as classification, anomaly, link analysis and so on are being applied to detect or prevent the aforementioned cyber-terrorism or attack. Recommendations were made and suggestion for further study was indicated.
网络安全的数据挖掘
网络安全涉及保护计算机和网络系统免受恶意软件的破坏,包括特洛伊木马和病毒。随着大量敏感信息在网络中传输,网络系统的安全变得越来越重要。本文对数据挖掘在网络安全中的应用进行了深入的探讨。我们讨论了各种网络恐怖主义或网络攻击,如恶意入侵、信用卡欺诈、身份盗窃和基础设施攻击。分类、异常、链接分析等数据挖掘技术正被用于检测或预防上述网络恐怖主义或攻击。提出了建议,并提出了进一步研究的建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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