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Test Suite For Intrusion Detection By Layered Conditional Random Fields Using Mobile Phones

机译:使用手机通过分层条件随机字段进行入侵检测的测试套件

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There is high demand to reduce the threat level in networks to ensure the data and services offered by them to be more secure. With the ever increasing number and diverse type of attacks, including new and previously unseen attacks, the effectiveness of an Intrusion Detection System is very important. Earlier works deal with the layered approach and conditional random fields (CRFs) for improving the efficiency and accuracy of an intrusion detection system. In this paper we developed an effective test suite using the layered CRFs. We set up different types of checks at multiple levels in each layer. Our framework examines various attributes at every layer in order to effectively identify any breach of security. Once the attack is detected, it is intimated through mobile phone to the system administrator for safe guarding the server system. We establish experimentally that the layered CRFs can be very effective in detecting intrusions when compared with the previously known techniques.
机译:迫切需要降低网络中的威胁级别,以确保其提供的数据和服务更加安全。随着攻击的数量和种类不断增加,包括新的和以前看不见的攻击,入侵检测系统的有效性非常重要。早期的工作涉及分层方法和条件随机字段(CRF),以提高入侵检测系统的效率和准确性。在本文中,我们使用分层CRF开发了有效的测试套件。我们在每一层的多个级别上设置不同类型的检查。我们的框架会检查每一层的各种属性,以便有效地识别任何违反安全性的行为。一旦检测到攻击,它将通过手机通知系统管理员,以安全地保护服务器系统。我们通过实验确定,与以前的已知技术相比,分层CRF在检测入侵方面可以非常有效。

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