BChainBDML2019: Blockchain, BigData and Machine learning: Trends and Applications |
| Submission link | https://easychair.org/conferences/?conf=bchainbdml2019 |
| Abstract registration deadline | July 7, 2019 |
| Submission deadline | August 15, 2019 |
Book Title:Blockchain, BigData and Machine learning: Trends and Applications
Publisher: CRC Press, Taylor & Francis Group
Editors
- Dr. Neeraj Kumar,Thapar Institute of Engineering & Technology,Punjab, India.
- Ms.N.Gayathri,Galgotias University,India.
- Dr. Md Arafatur Rahman,University Malaysia Pahang
- Dr.B.Balamurugan, Galgotias University,India.
The main objective of this book is to explore threat intelligence, forensics and cyber security challenges in big data systems applying machine learning concepts. In particular, we are heading for providing solutions for the secured big data environment. The rapid maturity and stability of secured big data systems are going to be the key differentiator in the cyber world. This book is going to explicitly say all about the dead fusion in realizing the privacy and security of blockchain based data analytic environment. The main objective of this book is to promote both practitioners and researchers to share their experiences in the recent research of security based on big data, blockchain and Machine learning among academicians and industry people. The contributors are expected to afford their technical evaluation and comparison with existing technologies. The theoretical background and experimental case studies related to real-time environment are most expected.
Submission Guidelines
Researchers and practitioners are invited to submit on or before 7th July, 2019, a chapter proposal of 1,000 to 2,000 words clearly explaining the mission and concerns of his or her proposed chapter. Authors will be notified by 21st July, 2019 about the status of their proposals and sent chapter guidelines. Full chapters are expected to be submitted by 15th August, 2019. All submissions to be done through Easychair.
Important Dates:
- Last Call for Chapter Proposal (1000-2000 Words): 7th July, 2019
- Notification of Proposal Approval: 21st July, 2019
- Full Chapter Submission: 15th August, 2019
- Final Acceptance or Rejection Notification:20th August 2019
- Camera Ready Chapter Submission:30th August 2019
List of Topics
|
Chapter 1:Introduction to Blockchain and Bigdata Blockchain basic technologies: bitcoin, Hyperledger, smartcontract, Bigdata source for Blockchain, Identity management, Confidentiality, integrity and Authentication, Blockchain in bigdata applications |
|
Chapter 2:Blockchain And Machine learning Supply Chain Management-Tracking Provenance, Distributed Consensus, Machine learning with supply chain and blockchain, Demand Management, Data Visibility and Process Optimization |
|
Chapter 3:BigCrypto Bitcoins and Cryptocurrency, Blockchain: Tangle, Hashgraph, Convergence of Cryptocurrency and BigData, Security Enhancement, Applications |
|
Chapter 4:Blockchain Databases 1 BigChainDB: Key concepts, Assets, Decentralization,Immutable BigChainDB, Byzantine Fault Tolerance, Querying BigChainDB ;FlureeDB: Features,Apps, Cap table, Querying |
|
Chapter 4:Blockchain Databases 2 BigChainDB and Smart Contracts,Transaction concepts and permissions, File storage in BigChainDB, privacy in Blockchain Databases: BigChainDB, Fluree etc. |
|
Chapter 5:BlockChain Usecases In BigData Data integrity, Preventing malicious Activities, Predictive Analytics, Realtime Data Analytics, Data Sharing |
|
Chapter 6:Blockchain storage platforms for BigData Swarm-Mutable Resource Updates-ENS-PSS,IPFS;SIA-Siacoin, Storj Protocol-Storj Network, Storj Tools’et; Maidsafe; Filecoin |
|
Chapter 7:Vizualising Bitcoin using BigData Mempool Visualization, visualization, peer visualization, Attack visual analysis, High-Resolution Visualization of Bitcoin systems, Effectiveness |
|
Chapter 8:Bolckchain and Distributed Ledger Systems Blockchain- Distributed Ledger-Chain-Corda- Hyperledger, Quoram, Stellar, Applications of Distributed ledger |
|
Chapter 9:Security of Blockchain and BigData BigData security issues, Blockchain security to BigData, collaborative security, Intrusion-Prevention system, Predictive Security, Blockchain-Access control system |
|
Chapter 10: Blockchain and BigData in Healthcare Sector Securing EHR using blockchain, Distributed ledger for Health data authentication, Data retrieval using block-chain based notarization, Data sharing through blockchain consensus |
|
Chapter 11: Blockchain and BigData in evolving Smart Cities Blockchain for Smart cities, use cases-Logistics and Provenance,Smart energy, Pollution monitoring, Waste management, Smart payment and Identity |
Contact
All questions about submissions should be emailed to gayathri92.n@gmail.com(Mobile:+91 8667677104)