Big Data and Blockchain Technology for Secure IoT Applications (eBook, ePUB)
Redaktion: Selvarajan, Shitharth; Balachandran, Praveen Kumar; Reddy, Sadda Bharath; Mohammad, Gouse Baig
52,95 €
52,95 €
inkl. MwSt.
Sofort per Download lieferbar
26 °P sammeln
52,95 €
Als Download kaufen
52,95 €
inkl. MwSt.
Sofort per Download lieferbar
26 °P sammeln
Jetzt verschenken
Alle Infos zum eBook verschenken
52,95 €
inkl. MwSt.
Sofort per Download lieferbar
Alle Infos zum eBook verschenken
26 °P sammeln
Big Data and Blockchain Technology for Secure IoT Applications (eBook, ePUB)
Redaktion: Selvarajan, Shitharth; Balachandran, Praveen Kumar; Reddy, Sadda Bharath; Mohammad, Gouse Baig
- Format: ePub
- Merkliste
- Auf die Merkliste
- Bewerten Bewerten
- Teilen
- Produkt teilen
- Produkterinnerung
- Produkterinnerung
Bitte loggen Sie sich zunächst in Ihr Kundenkonto ein oder registrieren Sie sich bei
bücher.de, um das eBook-Abo tolino select nutzen zu können.
Hier können Sie sich einloggen
Hier können Sie sich einloggen
Sie sind bereits eingeloggt. Klicken Sie auf 2. tolino select Abo, um fortzufahren.
Bitte loggen Sie sich zunächst in Ihr Kundenkonto ein oder registrieren Sie sich bei bücher.de, um das eBook-Abo tolino select nutzen zu können.
Big Data and Blockchain Technology for Secure IoT Applications presents a comprehensive exploration of the intersection between two transformative technologies: big data and blockchain, and their integration into securing Internet of Things (IoT) applications.
- Geräte: eReader
- mit Kopierschutz
- eBook Hilfe
Andere Kunden interessierten sich auch für
- Big Data and Blockchain Technology for Secure IoT Applications (eBook, PDF)52,95 €
- Leveraging Blockchain Technology (eBook, ePUB)57,95 €
- Psybersecurity (eBook, ePUB)52,95 €
- Cyber Security for Next-Generation Computing Technologies (eBook, ePUB)52,95 €
- Advances in Emerging Financial Technology and Digital Money (eBook, ePUB)52,95 €
- Tony ThomasIntelligent Mobile Malware Detection (eBook, ePUB)47,95 €
- Arun SoniThe Cybersecurity Self-Help Guide (eBook, ePUB)47,95 €
-
-
-
Big Data and Blockchain Technology for Secure IoT Applications presents a comprehensive exploration of the intersection between two transformative technologies: big data and blockchain, and their integration into securing Internet of Things (IoT) applications.
Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Taylor & Francis
- Erscheinungstermin: 19. Dezember 2024
- Englisch
- ISBN-13: 9781040149928
- Artikelnr.: 72273625
- Verlag: Taylor & Francis
- Erscheinungstermin: 19. Dezember 2024
- Englisch
- ISBN-13: 9781040149928
- Artikelnr.: 72273625
- Herstellerkennzeichnung Die Herstellerinformationen sind derzeit nicht verfügbar.
Shitharth Selvarajan completed his PhD in the Department of Computers Science & Engineering, Anna University. He completed his Postdoc at The University of Essex, Colchester, UK. He has worked in various institutions with a teaching experience of seven years. Now, he is working as a lecturer in cyber security at Leeds Beckett University, Leeds, UK. He has published in more than 85 International Journals and 20 International & National conferences. He has even published four patents in IPR. He is also an active member of IEEE Computer Society and five more professional bodies. He is also a member of the International Blockchain organization. He is a certified hyperledger expert and certified blockchain developer. His current research interests include Cyber Security, Blockchain, Critical Infrastructure & Systems, Network Security & Ethical Hacking. He is an active researcher, reviewer and editor for many international journals. Gouse Baig Mohammad is an Associate Professor in the department of Computer Science and Engineering (CSE) at Vardhaman College of Engineering, Hyderabad, India. He received his PhD in Computer Science and Engineering at the Acharya Nagarjuna University in 2020. He received his Master of Technology (M-Tech) from Jawaharlal Nehru Technological University, Hyderabad, India in 2010. He received his Bachelor of Technology (B-Tech) from Kakatiya University, Warangal, India in 2004. He has more than 18 years of teaching and research experience. His research interests are Network Security, Cloud Computing, Computer Networks, Internet of Things. He has published 30+ papers in reputed journals. He also the reviewer of Intelligence Medicine, Journal of Super Computing International Journals, and Intelligent System and Machine Learning Conference Proceedings. Sadda Bharath Reddy is working as HoD and Associate Professor in the department of CSE, KG Reddy College of Engineering and Technology at, Hyderabad, India. He received his PhD in Computer Science and Engineering at the SRM University in 2019. He received his Master of Technology (M-Tech) from Jawaharlal Nehru Technological University, Kakinada, India in 2012. He received his Bachelor of Technology (B-Tech) from Jawaharlal Nehru Technological University, Ananthapur, India in 2010. He was an Assistant Professor at SSN Engineering College from October 2012 to July 2017. He was an Associate Professor at SSN Engineering College from July 2017to December 2021 and worked as Associate professor in the department of Artificial Intelligence and Machine Learning (AIML) at Vardhaman College of Engineering, Hyderabad His research interests are Artificial Intelligence, Network Security, Cloud Computing, Computer Networks, Internet of Things. He has published 6 SCI journal papers and 15 Scopus journal papers. Praveen Kumar Balachandran (Senior Member, IEEE) received a B.E. degree in electrical and electronic engineering and an M.E. and Ph.D. degrees in power systems engineering from Anna University, Chennai, India, in 2014, 2016, and 2019, respectively. He is currently working as an Associate Professor with the Department of EEE, Vardhaman College of Engineering, Hyderabad, India. He is a Senior Member in IEEE and mentor in IEEE Power and Energy Society. Dr. Praveen has published 80+ scientific articles in reputed international journals with cumulative impact factor more than 150 and also has 10 patents to his name. His current research interests include solar photovoltaics, IoT, AI and smart grids. He is an active researcher, reviewer and editor for many international journals.
About the Editors. List of Contributors. 1. Scheduling Internet of Things
Tasks in Cloud and Fog Computing Environment using Cuckoo Search
Optimization. 2. SDN-IoT Integration with Network Function Virtualization
for Improved Performance. 3. Decentralized Trust: A Framework for Ensuring
Data Integrity in IoT using Blockchain. 4. Blockchain's Impetus for Secure
IoT-enabled Applications in Smart City. 5. A Lightweight KP-ABE System
Cyber-Physical Security and Privacy Advancement in Healthcare Networks. 6.
Machine Learning Unleashed: A Paradigm Shift in Blockchain Intelligence. 7.
Securing HPC Data Clusters with In-Memory Blockchain: A Provenance
Enhancement Approach. 8. DeepShield: A Deep Learning Approach for Robust
Fraud Detection in Credit Financial Transactions. 9. Integrating Blockchain
with Big Data Analytics for Enhanced IoT Security and Efficiency. 10.
Machine Learning Techniques for Blockchain-Technology: A Review of Recent
Advances and Unresolved Issues. 11. HSMAO: Efficient Resource Allocation in
Cloud-Fog Internet of Things (IoT) Networks using Metaheuristic Scheduling
Algorithm.
Tasks in Cloud and Fog Computing Environment using Cuckoo Search
Optimization. 2. SDN-IoT Integration with Network Function Virtualization
for Improved Performance. 3. Decentralized Trust: A Framework for Ensuring
Data Integrity in IoT using Blockchain. 4. Blockchain's Impetus for Secure
IoT-enabled Applications in Smart City. 5. A Lightweight KP-ABE System
Cyber-Physical Security and Privacy Advancement in Healthcare Networks. 6.
Machine Learning Unleashed: A Paradigm Shift in Blockchain Intelligence. 7.
Securing HPC Data Clusters with In-Memory Blockchain: A Provenance
Enhancement Approach. 8. DeepShield: A Deep Learning Approach for Robust
Fraud Detection in Credit Financial Transactions. 9. Integrating Blockchain
with Big Data Analytics for Enhanced IoT Security and Efficiency. 10.
Machine Learning Techniques for Blockchain-Technology: A Review of Recent
Advances and Unresolved Issues. 11. HSMAO: Efficient Resource Allocation in
Cloud-Fog Internet of Things (IoT) Networks using Metaheuristic Scheduling
Algorithm.
About the Editors. List of Contributors. 1. Scheduling Internet of Things
Tasks in Cloud and Fog Computing Environment using Cuckoo Search
Optimization. 2. SDN-IoT Integration with Network Function Virtualization
for Improved Performance. 3. Decentralized Trust: A Framework for Ensuring
Data Integrity in IoT using Blockchain. 4. Blockchain's Impetus for Secure
IoT-enabled Applications in Smart City. 5. A Lightweight KP-ABE System
Cyber-Physical Security and Privacy Advancement in Healthcare Networks. 6.
Machine Learning Unleashed: A Paradigm Shift in Blockchain Intelligence. 7.
Securing HPC Data Clusters with In-Memory Blockchain: A Provenance
Enhancement Approach. 8. DeepShield: A Deep Learning Approach for Robust
Fraud Detection in Credit Financial Transactions. 9. Integrating Blockchain
with Big Data Analytics for Enhanced IoT Security and Efficiency. 10.
Machine Learning Techniques for Blockchain-Technology: A Review of Recent
Advances and Unresolved Issues. 11. HSMAO: Efficient Resource Allocation in
Cloud-Fog Internet of Things (IoT) Networks using Metaheuristic Scheduling
Algorithm.
Tasks in Cloud and Fog Computing Environment using Cuckoo Search
Optimization. 2. SDN-IoT Integration with Network Function Virtualization
for Improved Performance. 3. Decentralized Trust: A Framework for Ensuring
Data Integrity in IoT using Blockchain. 4. Blockchain's Impetus for Secure
IoT-enabled Applications in Smart City. 5. A Lightweight KP-ABE System
Cyber-Physical Security and Privacy Advancement in Healthcare Networks. 6.
Machine Learning Unleashed: A Paradigm Shift in Blockchain Intelligence. 7.
Securing HPC Data Clusters with In-Memory Blockchain: A Provenance
Enhancement Approach. 8. DeepShield: A Deep Learning Approach for Robust
Fraud Detection in Credit Financial Transactions. 9. Integrating Blockchain
with Big Data Analytics for Enhanced IoT Security and Efficiency. 10.
Machine Learning Techniques for Blockchain-Technology: A Review of Recent
Advances and Unresolved Issues. 11. HSMAO: Efficient Resource Allocation in
Cloud-Fog Internet of Things (IoT) Networks using Metaheuristic Scheduling
Algorithm.