Titlebook: Security, Privacy, and Anonymity in Computation, Communication, and Storage; 12th International C Guojun Wang,Jun Feng,Rongxing Lu Conferen

Armada

Ransomware Attack Protection: A Cryptographic Approach,ay a big ransom amount against the data. They seek payments through digital currencies such as bitcoins. There are no perfect techniques to detect and block a ransomware attack. But, there are a lot of preventive techniques that help organizations to protect the data from ransom attacks. The existin

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Agnosia

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A Data-Driven Network Intrusion Detection Model Based on Host Clustering and Integrated Learning: A attacks, and testing it on the unknown network traffic of the same attacks. Evaluating machine learning based IDS with new attack traffic that is different from that training set is rare. With a large amount of network traffic generated every second, it is tough to gather all the traffic then train

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Towards H-SDN Traffic Analytic Through Visual Analytics and Machine Learning,rganizations are attracted to migration their legacy networks to SDN networks. However, it is both challenging and impractical for organizations to migrate from traditional network architecture to full SDN architecture overnight. Therefore, the migration plan is performed in stages, resulting in a n

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End-to-End Encryption Schemes for Online Social Networks, It should allow users to use the OSN even if they are not technically savvy and have no knowledge about cryptography. We present and discuss an end-to-end encryption based approach that uses the RSA public-key encryption algorithm, as well as the AES symmetric-key encryption algorithm. The result i