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Titlebook: Advances in Cybersecurity, Cybercrimes, and Smart Emerging Technologies; Ahmed A. Abd El-Latif,Yassine Maleh,Mohamed I. Alk Conference pro

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M. B. Mohamed Sathik,T. Gireeshas computers, servers, or networks. Typically, malware aims to drip private data/information, gain unlawful access to system resources (hardware, software, and information/data), deny authorized users from accessing system resources, or even destroy or corrupt system resources. While the level of im
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Date Palm Genetic Resources for Breedingost common and dangerous malware attacks among of different types of attacks. In the last few years, a sharp escalation of the ransomware attack is observed. Traditional ransomware detection techniques fail to rein in the rise of the ransomware attack. Recently, machine learning is increasingly used
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Kanti Meena,A. Anil Kumar,R. T. Maruti happening from perimeter based networks to perimeter less networks being set up on the cloud and this is adding complexity to both the organizational network structure and the security provisioning at the same time. Increasing instances of ransomware attacks, distributed denial of service and targe
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Kanti Meena,A. Anil Kumar,R. T. Marutiajor role in spreading malicious objects in any network. An epidemic model is developed and analyzed both analytically and numerically. Equilibrium points, both endemic and malware free are obtained and also reproduction number is formulated. Global stability of endemic equilibrium is established an
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Date Palm Genetic Resources for Breedingd the military. However, security worries with UAVs are developing, as UAV nodes are becoming appealing targets for assaults due to rapidly growing volumes and inadequate inbuilt security. This paper proposes an intelligent security system for UAVs that harness machine learning to detect cybersecuri
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https://doi.org/10.1007/978-3-663-05988-2nvolving intelligent devices interacting with each other dynamically and autonomously. However, while trying to limit interactions only to objects known as secure, we take the risk of service disruption. This means that traditional techniques are in general not applicable or inefficient in this cont
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