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E-shield: Detection and prevention of website attacks

机译:电子盾:检测和预防网站攻击

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摘要

As Internet usage is growing daily the world is coming closer making it a smaller place to live for its users. However, it has also managed to create problems for people because of the increase in cyber-crimes. So there is a need for monitoring and analyzing both user and system activities and thus tracking as well as blocking the malware is a must. This is where intrusion detection system (IDS) and intrusion prevention system (IPS) comes into the picture. IDS and IPS have a substantial societal impact on reducing the number of cyber-crimes and providing a platform to facilitate basic security amenities for small scale firms and budding entrepreneurs. The majority of intrusion prevention systems use the detection methods which include Signature-based, Statistical anomaly-based and Honeypot-based. Using these detection methods, the malware is detected, and then further actions are taken to block the malware. IPS techniques differ in how they scan the data streams to detect a threat or intrusion. Data capture and data control are used by the research community to study issues in network security, such as Internet worms, spam control, and Denial of Service (DoS) attacks. In this paper, we will be focusing on prevention from the attacks.
机译:随着互联网使用量的每天增加,世界变得越来越近,使其成为用户居住的较小场所。但是,由于网络犯罪的增加,它也给人们带来了麻烦。因此,有必要监视和分析用户和系统活动,因此必须跟踪并阻止恶意软件。这就是入侵检测系统(IDS)和入侵防御系统(IPS)出现的地方。 IDS和IPS对减少网络犯罪的数量以及为小型企业和新兴企业家提供便利基本安全设施的平台具有重大的社会影响。大多数入侵防御系统使用的检测方法包括基于签名,基于统计异常和基于Honeypot的检测方法。使用这些检测方法,可以检测到恶意软件,然后采取进一步的措施来阻止恶意软件。 IPS技术在如何扫描数据流以检测威胁或入侵方面有所不同。研究社区使用数据捕获和数据控制来研究网络安全问题,例如Internet蠕虫,垃圾邮件控制和拒绝服务(DoS)攻击。在本文中,我们将集中精力防范攻击。

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