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Malwares Detection and Prevention Using Set Theory

机译:基于集合论的恶意软件检测与预防

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Dependence of electronic devices (viz. Computer, Laptop, Mobile etc.) is increasing exponentially, so large amount of data and information are stored on electronic devices. These electronic devices are interconnected in local, national and international networks, use and share a high number of various software programs. Individuals, corporations, hospitals, communication networks, authorities among others are totally dependent on accessibility of the data and information stored. Malwares have different objectives and different techniques to corrupt the database or dump the system. In this paper, we propose the novel model for malware detection and prevention for security purpose. The proposed model detects the malware and prevents the electronic devices from the malwares which can destroy or delete the data from electronic devices. In this paper, we propose an algorithm for the detection and prevention; we use set theory for detection and prevention the malwares.
机译:电子设备(例如计算机,笔记本电脑,移动设备等)的依赖性正呈指数级增长,因此大量数据和信息存储在电子设备上。这些电子设备在本地,国家和国际网络中互连,使用并共享大量的各种软件程序。个人,公司,医院,通信网络,权威机构等完全取决于所存储数据和信息的可访问性。恶意软件具有不同的目标和不同的技术来破坏数据库或转储系统。在本文中,出于安全目的,我们提出了一种新型的恶意软件检测和预防模型。所提出的模型检测恶意软件并防止电子设备受到恶意软件的破坏,该恶意软件可以破坏或删除电子设备中的数据。本文提出了一种检测与预防算法。我们使用集合论来检测和预防恶意软件。

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