Career Opportunities After Block chain for Data Security Certified Course:

• Blockchain Security Analyst
• Cybersecurity Engineer with Blockchain Expertise
• Blockchain Developer (Security Focused)
• Data Security Consultant
• Smart Contract Auditor
• Information Security Analyst
• Decentralized App (Dap) Developer
• Researcher in Blockchain Security

Essential Skills you will Develop Block chain for Data Security Certified Course:

• Fundamentals of Blockchain & Cryptography
• Secure Data Storage & Access Control Mechanisms
• Smart Contracts and Security
• Hashing and Digital Signatures
• Blockchain Consensus Mechanisms
• Identity Management on Blockchain
• Risk Assessment & Threat Modeling in Blockchain
• Compliance and Legal Aspects of Blockchain Data Security

Tools Covered:

• Ethereum / Hyperedge Fabric
• Ganache / Truffle
• Metalmark
• Solidity
• Remix IDE
• IPFS (Interplanetary File System)
• Open Zeppelin
• Blockchain Explorers (Ethers can, etc.)

Syllabus:

Module 1: Introduction to Blockchain & Data Security Fundamentals of blockchain   Key concepts: decentralization, transparency, immutability Types: public, private, consortium, hybrid blockchains Data security overview: confidentiality, integrity, availability.

Module 2: Cryptography & Secure Data Structures Hash functions (SHA‑256, Keccak‑256), Merkle trees Public/private keys, digital signatures, wallets Data integrity techniques; tamper evidence methods.

Module 3: Blockchain Consensus & Trust Security Consensus algorithms: Pow, Pops, Depose, PBFT, BFT-based protocols Attacks: 51% attacks, nothing‑at‑stake, long-range, double-spend Security assumptions and trade-offs

Module 4: Network & Node Security Blockchain architecture: nodes, p2p networking, infrastructure Attack vectors: Sybil, eclipse, routing, denial-of-service Best practices: secure node deployment, RPC protection, key management.

Module 5: Smart Contract Security & Data Governance Smart contract platforms (e.g. Ethereum VM, Hyperedge, BSC) Vulnerabilities: reentrancy, timestamp dependence, unchecked returns, access control flaws Secure coding and audit practices.

Module 6: Threat Modeling & Testing for Blockchain Security STRIDE-based threat modeling tailored to blockchain layers Testing strategies: static/dynamic code analysis, fuzzing, unit tests Design-level considerations: edge case handling architectural reviews.

Module 7: Advanced Cryptographic Techniques for Privacy Zero‑Knowledge Proofs (ZK‑SNARKs), ring signatures, stealth addresses, commitment schemes Differential privacy integration in blockchain contexts Mixing protocols and anonymization mechanisms.

Module 8: Attack Detection & Data Anomaly Monitoring Blockchain-specific data attack taxonomy: privacy leakage, integrity, availability, controllability Anomaly detection methods (statistical, ML, graph‑based) for transaction patterns Real-time alerts, forensic analysis, anomaly mitigation strategies.

Module 9: Enterprise & Platform Security Enterprise blockchain platforms security: Corda, Hyperedge Fabric/Composer, consortium models Governance, per missioning, consensus and access control in enterprise contexts Use-case scenarios.

Module 10: Emerging Trends & Second‑Layer Protocols Side-chains, state channels, block-lattices, DAG-based ledgers Layer‑2 scaling solutions, roll-ups, shading Integrating blockchain with cloud, IoT, and cross-chain interoperability

Industry Projects:

• Secure Document Sharing Using Blockchain
• Developing a Blockchain-Based Identity Management System
• Creating a Tamper-Proof Data Audit Trail
• Deploying a Secure Voting System Using Smart Contracts
• Blockchain Integration for Healthcare Data Security

 Who is this program for?

• IT Professionals and Cybersecurity Engineers
• Blockchain Enthusiasts and Developers
• Data Analysts and Security Consultants
• Engineering and Computer Science Students
• Professionals looking to upskill in secure technologies

How To Apply:

Mobile: 9100348679

Email: coursedivine@gmail.com