Titlebook: Artificial Intelligence and Blockchain for Future Cybersecurity Applications; Yassine Maleh,Youssef Baddi,Imed Romdhani Book 2021 The Edit

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A New Scheme for Detecting Malicious Attacks in Wireless Sensor Networks Based on Blockchain Technolcious sensor nodes. Also, CN uses important parameters such as sensor node-hash value, node-signature and voting degree for malicious to detect malicious nodes in WSNs. The overall results statistic showed that 94.9% of malicious messages were detected and identified successfully during our scheme’s simulation.

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A Framework Using Artificial Intelligence for Vision-Based Automated Firearm Detection and Reportinge 3rd person or agency about the incident. It can also manually highlight any object in a frame to keep track of its movement for security purposes. Machine and Deep Learning techniques were used to train models for object detection and facial recognition. The model achieved an accuracy of 97.33% in object detection and 90% in facial recognition.

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2197-6503 uture cybersecurity applications.Proposes new models, practi.This book presents state-of-the-art research on artificial intelligence and blockchain for future cybersecurity applications. The accepted book chapters covered many themes, including artificial intelligence and blockchain challenges, mode

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Towards Sustainable Land Use in Asiak would be in encrypted form to avoid the possibility of data manipulation or access by an unauthentic user. The IDS system is capable to trace attacks of different categories as the random classifier has classified the attacks.

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Classification of Cyber Security Threats on Mobile Devices and Applicationsapplications-cyber security threat classifications, which includes most cyber threats classification and principles. The main purpose of our framework is to systematically identify cyber security threats, show their potential impacts, draw the mobile users’ attention to those threats, and enable them to take protective actions as appropriate.