Titlebook: Combating Security Challenges in the Age of Big Data; Powered by State-of- Zubair Md. Fadlullah,Al-Sakib Khan Pathan Book 2020 Springer Nat

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Cognitive Artificial Intelligence Countermeasure for Enhancing the Security of Big Data Hardware fr power analysis attack. The attacking aspect is reviewed as a form of identification of the correct countermeasure method against power analysis attack using Cognitive Artificial Intelligence (CAI)‘s method called cognitive countermeasure approach in an AES encryption device. Our main contribution i

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Incommensurate

Book 2020ns are inherently different at different stages of the big data centric system, namely at the point of big data sensing and collection, delivery over existing networks, and analytics at the data centers. Thus, the book sheds light on how conventional security provisioning techniques like authenticat

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Die Sinnhaftigkeit der Kategorialen Formen,easures are not applied in big data storage, it will cause some vital consequences. Trust management can be considered as a critical factor which operates seamlessly behind the scenes in IoT big data era to provide a reliable communication between devices. This chapter aims to disclose the trust man

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https://doi.org/10.1007/978-3-531-90761-1 power analysis attack. The attacking aspect is reviewed as a form of identification of the correct countermeasure method against power analysis attack using Cognitive Artificial Intelligence (CAI)‘s method called cognitive countermeasure approach in an AES encryption device. Our main contribution i

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https://doi.org/10.1007/978-3-531-19769-2 prospective solution. Based on our study, we found that Blockchain can enhance the security of Big Data by strengthening the security of the data storage, enhancing the data integrity using digital certificate and chaining the block using hash of previous block, and enhancing data availability usin

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https://doi.org/10.1007/978-3-531-19769-2 the smart grid communication should be carefully taken into consideration and adequate authentication methodology should be developed tailored for the smart grid context. In this vein, in this chapter, we first overview the M2M communication framework in the smart grid system and highlight its shor