An Automated Approach to Detect Deauthentication and Disassociation Dos Attacks on Wireless 802.11 Networks
An Automated Approach to Detect Deauthentication and Disassociation Dos Attacks on Wireless 802.11 Networks
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检测无线 802.11 网络上取消身份验证和解除关联 Dos 攻击的自动方法
DOI：
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
Haydar Imad Mohammed
中科院分区：
文献类型：
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作者：
Haitham Ameen;Shahidan M. Abdullah;Haydar Imad Mohammed
当涉及到安全因素时，无线网络与有线网络不同，由于其通过无线电波传输数据的性质以及WLAN结构的安全设计使媒体暴露于多种攻击，因此它们被认为从根本上不安全。本文特别阐明了可用性因素，其中攻击者倾向于利用无线第二层（MAC层）的某些设计缺陷来破坏已认证客户端的连接。这可以通过使用“IJAM”（用Python编写的可定制工具）发送伪造的去认证或解除关联数据包来实现。另一方面，本文讨论了检测这些类型攻击的可能方法，以及实现检测这些攻击的自动化方法的重要性。
Wireless networks are unlike wired when it comes to security factor, they are considered fundamentally insecure due to its nature of transmitting the data via radio waves and also the security design of WLAN structure exposed the medium to versatile attacks. This paper sheds the light particularly on the availability factor, in which the attacker tends to exploit certain design flaws in wireless layer two (MAC Layer) to disrupt the connection on the authenticated clients. This can be performed by sending forged deauthentication or disassociation packets using “IJAM” a customizable tool written in Python. On the other hand this paper discusses the possible ways to detect these types of attacks and how important is it to implement an automated method to detect these attacks.