mlsanityData to 14 Oct 2026

Security and Privacy on Blockchain

arXiv 1903.07602 ↗First posted 18 Mar 2019cs.CRcited by 32

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Abstract (arXiv)

Blockchain offers an innovative approach to storing information, executing transactions, performing functions, and establishing trust in an open environment. Many consider blockchain as a technology breakthrough for cryptography and cybersecurity, with use cases ranging from globally deployed cryptocurrency systems like Bitcoin, to smart contracts, smart grids over the Internet of Things, and so forth. Although blockchain has received growing interests in both academia and industry in the recent years, the security and privacy of blockchains continue to be at the center of the debate when deploying blockchain in different applications. This paper presents a comprehensive overview of the security and privacy of blockchain. To facilitate the discussion, we first introduce the notion of blockchains and its utility in the context of Bitcoin like online transactions. Then we describe the basic security properties that are supported as the essential requirements and building blocks for Bitcoin like cryptocurrency systems, followed by presenting the additional security and privacy properties that are desired in many blockchain applications. Finally, we review the security and privacy techniques for achieving these security properties in blockchain-based systems, including representative consensus algorithms, hash chained storage, mixing protocols, anonymous signatures, non-interactive zero-knowledge proof, and so forth. We conjecture that this survey can help readers to gain an in-depth understanding of the security and privacy of blockchain with respect to concept, attributes, techniques and systems.

Key facts. Cited by 32 papers in the map (data through 14 Oct 2026). First posted on arXiv 18 Mar 2019.

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 8; 2022: 8; 2023: 8; 2024: 3; 2025: 4; 2026: 1.

32 papers.

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  2. 2022Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendationcited by 42
  3. 2021AutoLoss: Automated Loss Function Search in Recommendationscited by 31
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  5. 2023Multi-Task Recommendations with Reinforcement Learningcited by 26
  6. 2023Cross-domain recommendation via user interest alignmentcited by 19
  7. 2022AutoShard: Automated Embedding Table Sharding for Recommender Systemscited by 17
  8. 2021Fairness, Integrity, and Privacy in a Scalable Blockchain-based Federated Learning Systemcited by 16
  9. 2021SelfCF: A Simple Framework for Self-supervised Collaborative Filteringcited by 15
  10. 2021Causal Collaborative Filteringcited by 13
  11. 2022Flow Moods: Recommending Music by Moods on Deezercited by 11
  12. 2021The Stereotyping Problem in Collaboratively Filtered Recommender Systemscited by 10
20 more
  1. 2021Fast Variational AutoEncoder with Inverted Multi-Index for Collaborative Filteringcited by 8
  2. 2024Blockchain for Large Language Model Security and Safety: A Holistic Surveycited by 8
  3. 2021Zero Shot on the Cold-Start Problem: Model-Agnostic Interest Learning for Recommender Systemscited by 6
  4. 2023On the Consistency of Average Embeddings for Item Recommendationcited by 5
  5. 2025When Hallucination Costs Millions: Benchmarking AI Agents in High-Stakes Adversarial Financial Marketscited by 5
  6. 2022FINGER: Fast Inference for Graph-based Approximate Nearest Neighbor Searchcited by 4
  7. 2022IDNP: Interest Dynamics Modeling using Generative Neural Processes for Sequential Recommendationcited by 3
  8. 2023A Survey on Secure and Private Federated Learning Using Blockchain: Theory and Application in Resource-constrained Computingcited by 3
  9. 2023FairRec: Fairness Testing for Deep Recommender Systemscited by 3
  10. 2024The Role of Transformer Models in Advancing Blockchain Technology: A Systematic Surveycited by 3
  11. 2023The Design Principle of Blockchain: An Initiative for the SoK of SoKscited by 2
  12. 2023OSP: Boosting Distributed Model Training with 2-stage Synchronizationcited by 2
  13. 2022REST: Debiased Social Recommendation via Reconstructing Exposure Strategiescited by 1
  14. 2023Pretrained Embeddings for E-commerce Machine Learning: When it Fails and Why?cited by 1
  15. 2024Sustainable broadcasting in Blockchain Networks with Reinforcement Learningcited by 1
  16. 2021Ethereum Data Structurescited by 0
  17. 2025Privacy is All You Need: Revolutionizing Wearable Health Data with Advanced PETscited by 0
  18. 2025Clustering and analysis of user behaviour in blockchain: A case study of Planet IXcited by 0
  19. 2025Coinvisor: An RL-Enhanced Chatbot Agent for Interactive Cryptocurrency Investment Analysiscited by 0
  20. 2026DMind-3: A Sovereign Edge--Local--Cloud AI System with Controlled Deliberation and Correction-Based Tuning for Safe, Low-Latency Transaction Executioncited by 0