Denial of Service Intrusion Detection System for SIP-based VoIP.

机译：基于SIP的VoIP的拒绝服务入侵检测系统。

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Voice over IP (VoIP) is a popular communication technology that is on its way to replacing the Public Switched Telephone Network (PSTN). The ubiquitous Internet along with the rise of camera-equipped smartphones and mobile computing devices has allowed VoIP to thrive. The Session Initiation Protocol (SIP) is one of the signaling protocols that makes VoIP possible, allowing it to be more flexible and even cheaper than other means of communication. Unfortunately, as with all IP-based technologies, VoIP systems are threatened by Denial of Service (DoS) attacks.;A variety of solutions exist that attempt to safeguard SIP-based VoIP from DoS attacks, but they are either too simple to be reliable or are too sophisticated to be practical as a first line of defense. This paper presents the design and implementation of DoS Defender, a novel intrusion detection system (IDS) that is fast yet effective at detecting the onset of a DoS attack. DoS Defender employs a neural network for traffic pattern recognition and can be used as part of an automated system for the activation of countermeasures. The system has been evaluated in a simulated environment, where it achieves near perfect precision and recall for detecting DoS attacks.

机译：IP语音（VoIP）是一种流行的通信技术，正在取代公共交换电话网（PSTN）。互联网无处不在以及配备摄像头的智能手机和移动计算设备的兴起使VoIP蓬勃发展。会话发起协议（SIP）是使VoIP成为可能的信令协议之一，从而使其比其他通信方式更灵活甚至更便宜。不幸的是，与所有基于IP的技术一样，VoIP系统也受到拒绝服务（DoS）攻击的威胁。现有多种解决方案试图保护基于SIP的VoIP免受DoS攻击，但它们要么太简单，要么难以可靠或过于复杂而无法作为第一道防线。本文介绍了DoS Defender的设计和实现，它是一种新颖的入侵检测系统（IDS），可快速有效地检测DoS攻击的发作。 DoS Defender使用神经网络进行交通模式识别，并且可以用作激活对策的自动化系统的一部分。该系统已在模拟环境中进行了评估，该系统在检测DoS攻击时达到了近乎完美的精度和召回率。

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作者
Wright, Kwame-Lante.;
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作者单位

The Cooper Union for the Advancement of Science and Art.;

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授予单位 The Cooper Union for the Advancement of Science and Art.;
学科 Engineering Electronics and Electrical.
学位 M.E.
年度 2011
页码 43 p.
总页数 43
原文格式 PDF
正文语种 eng
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专利

1. A Host-Based Intrusion Detection System Using Architectural Features to Improve Sophisticated Denial-of-Service Attack Detections [J] . Ran Tao, Li Yang, Lu Peng, International journal of information security and privacy . 2010,第1期

机译：基于主机的入侵检测系统，利用体系结构功能改进复杂的拒绝服务攻击检测
2. Machine Learning-Based Distributed Denial of Service Attack Detection on Intrusion Detection System Regarding to Feature Selection [J] . Arif Wirawan Muhammad, Cik Feresa Mohd Foozy, Ahmad Azhari International Journal of Artificial Intelligence Research . 2020,第1期

机译：基于机器学习的分布式拒绝服务攻击检测关于特征选择的入侵检测系统
3. Detection of SIP-Based Denial of Service Attack Using Dual Cost Formulation of Support Vector Machine [J] . Jayashree Pougajendy, Arun Raj Kumar Parthiban The Computer journal . 2017,第12期

机译：支持向量机双重成本公式化的基于SIP的拒绝服务攻击检测
4. Deep Packet Field Extraction Engine (DPFEE): A pre-processor for network intrusion detection and denial-of-service detection systems [C] . Jyothi Vinayaka, Addepalli Sateesh K., Karri Ramesh International conference on computer design . 2015

机译：深度包字段提取引擎（DPFEE）：用于网络入侵检测和拒绝服务检测系统的预处理器
5. Statistical anomaly denial of service and reconnaissance intrusion detection. [D] . Zhang, Zheng. 2004

机译：统计异常拒绝服务和侦察入侵检测。
6. FSM-F: Finite State Machine Based Framework for Denial of Service and Intrusion Detection in MANET [O] . Malik N. Ahmed, Abdul Hanan Abdullah, Omprakash Kaiwartya -1

机译：FSM-F：MANET中基于有限状态机的拒绝服务和入侵检测框架
7. Machine Learning-Based Distributed Denial of Service Attack Detection on Intrusion Detection System Regarding to Feature Selection [O] . Ahmad Azhari, Arif Wirawan Muhammad, Cik Feresa Mohd Foozy 2020

机译：基于机器学习的分布式拒绝服务攻击检测关于特征选择的入侵检测系统

Denial of Service Intrusion Detection System for SIP-based VoIP.

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