منابع مشابه
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Network attack classification is essential to intrusion detection in that it could improve the performance of intrusion detection system. Several machine-learning methods have been applied to correlating attacks. However, the attack classification models developed in these methods share one common limitation in that they strongly rely on the training data, which can hardly be generalized to oth...
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These days the problem of cyber security is of utmost importance. Massive cyber attacks targeting government and mission critical servers can swiftly become an issue of national security. Various approaches for cyber defence and cyber security used to date have been based on software solutions without hardware acceleration. With the increasing number of network users, services and the current g...
متن کاملData Mining for Cyber Security
This chapter provides an overview of the Minnesota Intrusion Detection System (MINDS), which uses a suite of data mining based algorithms to address different aspects of cyber security. The various components of MINDS such as the scan detector, anomaly detector and the profiling module detect different types of attacks and intrusions on a computer network. The scan detector aims at detecting sc...
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Power grids worldwide are undergoing a revolutionary transition as so-called “smart grids” that exploit renewable energy sources are emerging. As such distributed power generation requires networked control, future power systems will become more exposed to cyber attacks. This paper discusses cyber security challenges for a future power grid. It highlights deficiencies and shortcomings of existi...
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ژورنال
عنوان ژورنال: Computers in Human Behavior
سال: 2020
ISSN: 0747-5632
DOI: 10.1016/j.chb.2020.106255