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Towards ad-hoc cloud based approach for mobile intrusion detection

机译:迈向基于Ad hoc云的移动入侵检测方法

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摘要

As the usage of smart devices is increasing, malware affecting such devices is rapidly evolving as well. Security risks affecting the confidentiality, integrity, and privacy of smart devices are rapidly emerging. Mobile security suites exist to defend the device against malware and other intrusions. However, they require extensive resources which is a constraint of the device itself. In this paper, we address the problem of intrusion detection for smart devices taking into account the devices' limited resources such as energy, CPU usage, and internet connectivity. We provide an ad-hoc mobile cloud based intrusion detection framework that takes advantage of Wi-Fi Direct as means of achieving connectivity and sharing resources and services for providing security. The proposed framework allows exchange of data with or without the availability of internet connection. The paper also provides experiments, carried out using real devices, showing various improvements of using our approach. Up to 61% and 40% enhancement in energy consumption and response time respectively is reached compared to local execution.
机译:随着智能设备的使用不断增加,影响此类设备的恶意软件也在迅速发展。影响智能设备的机密性,完整性和隐私性的安全风险正在迅速显现。移动安全套件可以保护设备免受恶意软件和其他入侵的侵害。但是,它们需要大量资源,这是设备本身的约束。在本文中,我们考虑到设备的有限资源(例如,能源,CPU使用率和Internet连接)来解决智能设备的入侵检测问题。我们提供了一个基于移动云的临时入侵检测框架,该框架利用Wi-Fi Direct作为实现连接以及共享资源和服务以提供安全性的手段。所提出的框架允许在有或没有互联网连接的情况下交换数据。本文还提供了使用真实设备进行的实验,展示了使用我们的方法的各种改进。与本地执行相比,能耗和响应时间分别提高了61%和40%。

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