Post-Quantum Cryptography Algorithms and Approaches for IoT and Blockchain Security, Volume 138 the latest release in the Advances in Computers series, presents detailed coverage of innovations in computer hardware, software, theory, design and applications. Chapters in this new release include Quantum-safe Cryptography Approaches and Algorithms, Quantum Computing : An introduction, BPSK-BRO Framework for avoiding side channel attacks and multiphoton attacks in Quantum Key Distribution, Post-Quantum Cryptography Algorithms and Approaches for IoT and Blockchain Security-Chapter -Delineating the Blockchain Paradigm, Post Quantum Cryptographic approach for IoT Security, and more.
Other chapters cover Post-Quantum Lightweight Cryptography Algorithms and Approaches for IoT and Blockchain Security, Quantum-enabled machine learning of Random Forest and Discrete Wavelet Transform for cryptographic technique, Delineating the Blockchain Paradigm, Significance of Post Quantum Cryptosystems in Internet of Medical Things (IoMT, Blockchain-inspired Decentralized Applications and Smart Contracts, and much more.
1. Chapter Six: Quantum computing: An introduction - p. 149 2. Chapter Seven: Blockchain-inspired decentralised applications and smart contracts - p. 167 3. Chapter Eight: Demystifying the internet of things (IoT) idea – Explaining the cryptography methods - p. 181 4. Chapter Nine: Post quantum computing – cryptography - p. 217 5. Chapter Ten: Quantum computing research: An in-depth exploration - p. 255 6. Chapter Eleven: Beyond bits and qubits: Safeguarding the blockchain with post-quantum cryptography & its use cases - p. 289 7. Chapter Twelve: Quantum machine learning: Breaking classical boundaries for cancer identification in next-generation artificial intelligence - p. 303 8. Chapter Thirteen: Quantum machine learning: Exploring the nexus of quantum computing and intelligent algorithms - p. 321 9. Chapter Fourteen: Post-quantum lightweight cryptography algorithms and approaches for IoT and block chain security - p. 345 10. Chapter Fifteen: Quantum enabled machine learning of random forest and discrete wavelet transform for cryptographic technique - p. 373 11. Chapter Sixteen: The challenges and concerns of quantum computing - p. 405 12. Chapter Seventeen: Internet of Things legal landscape: Privacy, security, liability, and regulatory issues - p. 423 13. Chapter Eighteen: The challenges and concerns of quantum computing - p. 445 14. Chapter Nineteen: Unveiling the quantum frontier: Introduction and advancements in quantum artificial intelligence - p. 469
Post-Quantum Cryptography Algorithms and Approaches for IoT and Blockchain Security, Volume 138 the latest release in the Advances in Computers series, presents detailed coverage of innovations in computer hardware, software, theory, design and applications. Chapters in this new release include Quantum-safe Cryptography Approaches and Algorithms, Quantum Computing : An introduction, BPSK-BRO Framework for avoiding side channel attacks and multiphoton attacks in Quantum Key Distribution, Post-Quantum Cryptography Algorithms and Approaches for IoT and Blockchain Security-Chapter -Delineating the Blockchain Paradigm, Post Quantum Cryptographic approach for IoT Security, and more.
Other chapters cover Post-Quantum Lightweight Cryptography Algorithms and Approaches for IoT and Blockchain Security, Quantum-enabled machine learning of Random Forest and Discrete Wavelet Transform for cryptographic technique, Delineating the Blockchain Paradigm, Significance of Post Quantum Cryptosystems in Internet of Medical Things (IoMT, Blockchain-inspired Decentralized Applications and Smart Contracts, and much more.
1. Chapter Six: Quantum computing: An introduction - p. 149 2. Chapter Seven: Blockchain-inspired decentralised applications and smart contracts - p. 167 3. Chapter Eight: Demystifying the internet of things (IoT) idea – Explaining the cryptography methods - p. 181 4. Chapter Nine: Post quantum computing – cryptography - p. 217 5. Chapter Ten: Quantum computing research: An in-depth exploration - p. 255 6. Chapter Eleven: Beyond bits and qubits: Safeguarding the blockchain with post-quantum cryptography & its use cases - p. 289 7. Chapter Twelve: Quantum machine learning: Breaking classical boundaries for cancer identification in next-generation artificial intelligence - p. 303 8. Chapter Thirteen: Quantum machine learning: Exploring the nexus of quantum computing and intelligent algorithms - p. 321 9. Chapter Fourteen: Post-quantum lightweight cryptography algorithms and approaches for IoT and block chain security - p. 345 10. Chapter Fifteen: Quantum enabled machine learning of random forest and discrete wavelet transform for cryptographic technique - p. 373 11. Chapter Sixteen: The challenges and concerns of quantum computing - p. 405 12. Chapter Seventeen: Internet of Things legal landscape: Privacy, security, liability, and regulatory issues - p. 423 13. Chapter Eighteen: The challenges and concerns of quantum computing - p. 445 14. Chapter Nineteen: Unveiling the quantum frontier: Introduction and advancements in quantum artificial intelligence - p. 469
