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A Cloud-Based Energy Efficient System for Enhancing the Detection and Prevention of Modern Malware

机译:基于云的节能系统,可增强对现代恶意软件的检测和预防

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In today's modern world, a simple malware attack can result catastrophically and can cause havoc. In spite of numerous types of antiviruses available in the market, there is a dearth in detection techniques of these antiviruses. This paper proposes a complete system, which is a combination of conventional and new techniques for detecting malware. We first evaluate the antiviruses against 10,000+ malware samples to highlight their weaknesses and then propose, implement, and benchmark the cloud-based system against some defined parameters. We have tested the effectiveness and efficiency of the proposed system by monitoring the detection rate and processing power it consumes in order to operate in a host machine.
机译:在当今的现代世界中,简单的恶意软件攻击可能会导致灾难性的后果,并可能造成破坏。尽管市场上有许多类型的反病毒,但是这些反病毒的检测技术仍然匮乏。本文提出了一个完整的系统,该系统将检测恶意软件的传统技术和新技术结合在一起。我们首先针对10,000多种恶意软件样本评估防病毒软件,以突出它们的弱点,然后针对一些定义的参数提出,实施和基准化基于云的系统。我们通过监视检测率和处理能力以在主机上运行,​​测试了所提出系统的有效性和效率。

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