Security and Privacy on Blockchain
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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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Citing papers per year: 2021: 8; 2022: 8; 2023: 8; 2024: 3; 2025: 4; 2026: 1.
32 papers.
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- 2021Fairness, Integrity, and Privacy in a Scalable Blockchain-based Federated Learning Systemcited by 16
- 2021SelfCF: A Simple Framework for Self-supervised Collaborative Filteringcited by 15
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- 2021The Stereotyping Problem in Collaboratively Filtered Recommender Systemscited by 10
20 more
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- 2022IDNP: Interest Dynamics Modeling using Generative Neural Processes for Sequential Recommendationcited by 3
- 2023A Survey on Secure and Private Federated Learning Using Blockchain: Theory and Application in Resource-constrained Computingcited by 3
- 2023FairRec: Fairness Testing for Deep Recommender Systemscited by 3
- 2024The Role of Transformer Models in Advancing Blockchain Technology: A Systematic Surveycited by 3
- 2023The Design Principle of Blockchain: An Initiative for the SoK of SoKscited by 2
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- 2022REST: Debiased Social Recommendation via Reconstructing Exposure Strategiescited by 1
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- 2024Sustainable broadcasting in Blockchain Networks with Reinforcement Learningcited by 1
- 2021Ethereum Data Structurescited by 0
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- 2025Coinvisor: An RL-Enhanced Chatbot Agent for Interactive Cryptocurrency Investment Analysiscited by 0
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- 2025Coinvisor: An RL-Enhanced Chatbot Agent for Interactive Cryptocurrency Investment Analysis20 Oct 2025
- 2025When Hallucination Costs Millions: Benchmarking AI Agents in High-Stakes Adversarial Financial Markets30 Sep 2025
- 2025Clustering and analysis of user behaviour in blockchain: A case study of Planet IX16 Apr 2025
- 2025Privacy is All You Need: Revolutionizing Wearable Health Data with Advanced PETs5 Mar 2025
- 2024The Role of Transformer Models in Advancing Blockchain Technology: A Systematic Survey2 Sep 2024
- 2024Blockchain for Large Language Model Security and Safety: A Holistic Survey26 Jul 2024
- 2024Sustainable broadcasting in Blockchain Networks with Reinforcement Learning22 Jul 2024
- 2023On the Consistency of Average Embeddings for Item Recommendation24 Aug 2023
- 2023OSP: Boosting Distributed Model Training with 2-stage Synchronization29 Jun 2023
- 2023FairRec: Fairness Testing for Deep Recommender Systems14 Apr 2023
- 2023Pretrained Embeddings for E-commerce Machine Learning: When it Fails and Why?9 Apr 2023
20 more
- 2023A Survey on Secure and Private Federated Learning Using Blockchain: Theory and Application in Resource-constrained Computing24 Mar 2023
- 2023Multi-Task Recommendations with Reinforcement Learning7 Feb 2023
- 2023Cross-domain recommendation via user interest alignment26 Jan 2023
- 2023The Design Principle of Blockchain: An Initiative for the SoK of SoKs1 Jan 2023
- 2022AutoShard: Automated Embedding Table Sharding for Recommender Systems12 Aug 2022
- 2022IDNP: Interest Dynamics Modeling using Generative Neural Processes for Sequential Recommendation9 Aug 2022
- 2022Flow Moods: Recommending Music by Moods on Deezer15 Jul 2022
- 2022Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation12 Jul 2022
- 2022FINGER: Fast Inference for Graph-based Approximate Nearest Neighbor Search22 Jun 2022
- 2022AutoField: Automating Feature Selection in Deep Recommender Systems19 Apr 2022
- 2022Filter-enhanced MLP is All You Need for Sequential Recommendation28 Feb 2022
- 2022REST: Debiased Social Recommendation via Reconstructing Exposure Strategies13 Jan 2022
- 2021Fairness, Integrity, and Privacy in a Scalable Blockchain-based Federated Learning System11 Nov 2021
- 2021Fast Variational AutoEncoder with Inverted Multi-Index for Collaborative Filtering13 Sep 2021
- 2021Zero Shot on the Cold-Start Problem: Model-Agnostic Interest Learning for Recommender Systems31 Aug 2021
- 2021Ethereum Data Structures12 Aug 2021
- 2021SelfCF: A Simple Framework for Self-supervised Collaborative Filtering7 Jul 2021
- 2021The Stereotyping Problem in Collaboratively Filtered Recommender Systems23 Jun 2021
- 2021AutoLoss: Automated Loss Function Search in Recommendations12 Jun 2021
- 2021Causal Collaborative Filtering3 Feb 2021
- 2022Filter-enhanced MLP is All You Need for Sequential Recommendationcited by 96
- 2022Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendationcited by 42
- 2021AutoLoss: Automated Loss Function Search in Recommendationscited by 31
- 2022AutoField: Automating Feature Selection in Deep Recommender Systemscited by 30
- 2023Multi-Task Recommendations with Reinforcement Learningcited by 26
- 2023Cross-domain recommendation via user interest alignmentcited by 19
- 2022AutoShard: Automated Embedding Table Sharding for Recommender Systemscited by 17
- 2021Fairness, Integrity, and Privacy in a Scalable Blockchain-based Federated Learning Systemcited by 16
- 2021SelfCF: A Simple Framework for Self-supervised Collaborative Filteringcited by 15
- 2021Causal Collaborative Filteringcited by 13
- 2022Flow Moods: Recommending Music by Moods on Deezercited by 11
- 2021The Stereotyping Problem in Collaboratively Filtered Recommender Systemscited by 10
12 most cited of 30 All 30 (JSON)
- 2026DMind-3: A Sovereign Edge--Local--Cloud AI System with Controlled Deliberation and Correction-Based Tuning for Safe, Low-Latency Transaction Execution12 Feb 2026
- 2025When Hallucination Costs Millions: Benchmarking AI Agents in High-Stakes Adversarial Financial Markets30 Sep 2025
- 2025Clustering and analysis of user behaviour in blockchain: A case study of Planet IX16 Apr 2025
- 2025Privacy is All You Need: Revolutionizing Wearable Health Data with Advanced PETs5 Mar 2025
- 2024The Role of Transformer Models in Advancing Blockchain Technology: A Systematic Survey2 Sep 2024
- 2024Sustainable broadcasting in Blockchain Networks with Reinforcement Learning22 Jul 2024
- 2023On the Consistency of Average Embeddings for Item Recommendation24 Aug 2023
- 2023OSP: Boosting Distributed Model Training with 2-stage Synchronization29 Jun 2023
- 2023FairRec: Fairness Testing for Deep Recommender Systems14 Apr 2023
- 2023Pretrained Embeddings for E-commerce Machine Learning: When it Fails and Why?9 Apr 2023
- 2023A Survey on Secure and Private Federated Learning Using Blockchain: Theory and Application in Resource-constrained Computing24 Mar 2023
- 2023Multi-Task Recommendations with Reinforcement Learning7 Feb 2023
12 newest of 30 All 30 (JSON)