The DOI matches its Crossref record; 168 of the 173 references it cites were found in a registry or an index.
A Survey on Security and Privacy Issues of Bitcoin
Open accessAbstract
Bitcoin is a popular cryptocurrency that records all transactions in a distributed append-only public ledger called blockchain. The security of Bitcoin heavily relies on the incentive-compatible proof-of-work (PoW) based distributed consensus protocol, which is run by the network nodes called miners. In exchange for the incentive, the miners are expected to maintain the blockchain honestly. Since its launch in 2009, Bitcoin economy has grown at an enormous rate, and it is now worth about 150 billions of dollars. This exponential growth in the market value of bitcoins motivate adversaries to exploit weaknesses for profit, and researchers to discover new vulnerabilities in the system, propose countermeasures, and predict upcoming trends. In this paper, we present a systematic survey that covers the security and privacy aspects of Bitcoin. We start by giving an overview of the Bitcoin system and its major components along with their functionality and interactions within the system. We review the existing vulnerabilities in Bitcoin and its major underlying technologies such as blockchain and PoW-based consensus protocol. These vulnerabilities lead to the execution of various security threats to the standard functionality of Bitcoin. We then investigate the feasibility and robustness of the state-of-the-art security solutions. Additionally, we discuss the current anonymity considerations in Bitcoin and the privacy-related threats to Bitcoin users along with the analysis of the existing privacy-preserving solutions. Finally, we summarize the critical open challenges, and we suggest directions for future research towards provisioning stringent security and privacy solutions for Bitcoin.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source says what the claim attributes to it.
In the citing paper
“Besides, there are some other review papers on security and privacy in distributed ledgers such as [29], but they are mainly focused on bitcoin [30] or cryptocurrencies.”
From Privacy-Preserving Solutions for Blockchain: Review and Challenges (2019) · cites this paper as [29]
In the citing paper
“If a mining pool owns more than 50% of the network's computing power, then it is likely that those miners would be able to prevent the validation of proposed transactions, and consequently stop the transactions between users [73].”
From A Review of Blockchain Architecture and Consensus Protocols: Use Cases, Challenges, and Solutions (2019) · cites this paper as [73]
In the citing paper
“Due to this reason, such a kind of IIoT nodes commonly route their data through gateways by using non-P2P protocols like MQTT [30] or by making use of a fog [31] or edge computing infrastructure [32].”
From A Review on the Application of Blockchain to the Next Generation of Cybersecure Industry 4.0 Smart Factories (2019) · cites this paper as [32]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Bitcoin: A Peer-to-Peer Electronic Cash SystemPreprint
Nakamoto, S. (2019) · SSRN Electronic Journal · doi:10.2139/ssrn.3440802 · Cited by 14,677
Shamir, A. (1979) · Communications of the ACM · doi:10.1145/359168.359176 · Cited by 13,756
The Byzantine generals problem
Lamport, L., Shostak, R., & Pease, M. (1982) · ACM Transactions on Programming Languages and Systems · doi:10.1145/357172.357176 · Cited by 6,023
(2013) · Cited by 5,372
Douceur, J. R. (2002) · Lecture Notes in Computer Science · doi:10.1007/3-540-45748-8_24 · Cited by 4,419
Use of Elliptic Curves in Cryptography
Miller, V. S. (2007) · Springer eBooks · doi:10.1007/3-540-39799-x_31 · Cited by 3,985
Blind Signatures for Untraceable Payments
Chaum, D. (1983) · Springer eBooks · doi:10.1007/978-1-4757-0602-4_18 · Cited by 3,329
Decentralizing Privacy: Using Blockchain to Protect Personal Data
Zyskind, G., Nathan, O., & Pentland, A. '. (2015) · 2015 IEEE Security and Privacy Workshops · doi:10.1109/spw.2015.27 · Cited by 2,617
Practical byzantine fault tolerance and proactive recovery
Castro, M., & Liskov, B. (2002) · ACM Transactions on Computer Systems · doi:10.1145/571637.571640 · Cited by 2,475
Hawk: The Blockchain Model of Cryptography and Privacy-Preserving Smart Contracts
Kosba, A., Miller, A., Shi, E., Wen, Z., & Papamanthou, C. (2016) · 2016 IEEE Symposium on Security and Privacy (SP) · doi:10.1109/sp.2016.55 · Cited by 2,227
Research works printed but not linked: 39
- van saberhagen, 2013, Crypto
- poelstra, 2016, Mimblewimble
- jedusor, 2016, Mimblewimble
- willett, 0, The Second Bitcoin
- poon, 2016, The bitcoin lightning network Scalable off-chain instant payments
- wuille, 2015, Segregated witness and its impact on scalability, Proc SF Bitcoin Devs Seminar
- 2017, Paypal Total Payment Volume 2014–2017
- 2015, How a Visa transaction works
- peck, 2015, Adam back says the bitcoin fork is a coup
- 0, Bitcoin venture capital
- carlsten, 2016, On the sinstability of Bitcoin without the block reward, Proc ACM SIGSAC Conf Comput Commun Security (CCS), 154
- andresen, 2012, Pay to Script Hash BIP 16
- wallet, 2014, Bitcoin Wiki
- miller, 2013, Feather-Forks Enforcing a Blacklist With Sub-50% Hash Power
- heilman, 2016, Blindly signed contracts: Anonymous on-blockchain and off-blockchain Bitcoin transactions, Proc Int Workshops Financial Cryptogr Data Secur FC BITCOIN VOTING WAHC, 43
- herrera-joancomartí, 2016, Privacy in Bitcoin transactions: New challenges from blockchain scalability solutions, Proc 13th Int Conf Model Decis Artif Intell (MDAI), 19
- hilliard, 2017, Reduced Threshold Segwit MASF
- kiran, 2014, Bitcoin Risk Analysis
- 0, Malleability Attack a Nuisance But Bitcoin Not Broken Pundits Say
- finney, 2011, Best Practice for Fast Transaction Acceptance How High Is the Risk?
- 2017, The Bitcoin Malleability Attack How Can It Undermine the Blockchain Credibility?
- heusser, 2013, SAT Solving—An Alternative to Brute Force Bitcoin Mining
- 2011, Fake Bitcoins?
- 2014, Solution to Sybil Attacks and 51 Attacks in Decentralized Networks
- goldfeder, 2016, Securing bitcoin wallets via a new DSA-ECDSA threshold signature scheme
- draupnir, 2016, Bitcoin Cold Storage Guide
- 2015, How to Identify Transaction Malleability Attacks
- domingo, 2017, The Bitcoin vs Visa Electricity Consumption Fallacy
- 2011, Timejacking & Bitcoin
- szabo, 1988, Secure property titles with owner authority
- goldfeder, 2014, Securing Bitcoin wallets via threshold signatures
- wuille, 2014, Bip 62 Dealing With Malleability
- 0, Donation Request via Cyrptocurriencies
- 0, Status About Bitcoin Technoogy Was Obtained From-What 2016 Holds for Bitcoin Business
- maxwell, 2013, Coinjoin Bitcoin Privacy for the Real World
- daian, 2017, Piecework: Generalized outsourcing control for proofs of work, Proc FC Int Workshops WAHC BITCOIN VOTING WTSC TA, 182
- eyal, 2014, How to Disincentivize Large Bitcoin Mining Pools
- gallagher, 2013, Federal Information Processing Standards (FIPS) Publication 186-4 Digital Signature Standard (DSS)
- lerner, 2014, DECOR
Cited by
Sorted by citations
Items 401–500 of 1,000
The Security Ingredients for Correct and Byzantine Fault-tolerant Blockchain Consensus Algorithms
Altarawneh, A., & Anthony Skjellum, Y. (2020) · International Symposium on Networks, Computers and Communications (ISNCC) · doi:10.1109/isncc49221.2020.9297326 · Cited by 17
SoK: Assumptions Underlying Cryptocurrency Deanonymizations
Deuber, D., Ronge, V., & Rückert, C. (2022) · Proceedings on Privacy Enhancing Technologies · doi:10.56553/popets-2022-0091 · Cited by 19
Anonymity and Privacy in Bitcoin Escrow Trades
Sabry, F., Labda, W., Erbad, A., Jawaheri, H. A., & Malluhi, Q. M. (2019) · ACM Workshop on Privacy in the Electronic Society (WPES) · doi:10.1145/3338498.3358639 · Cited by 17
Research on the Security of Blockchain Data: A SurveyPreprint
Zhu, L., Zheng, B., Shen, M., Yu, S., Gao, F., Li, H., Shi, K., & Gai, K. (2018) · arXiv (Cornell University) · doi:10.48550/arxiv.1812.02009 · Cited by 26
Intrusion Detector for Blockchain based IoT Networks
Raja, G., Ganapathisubramaniyan, A., Anand, G., & Gowshika (2018) · International Conference on Advanced Computing · doi:10.1109/icoac44903.2018.8939074 · Cited by 16
Kondor, D., Bulatovic, N., Stéger, J., Csabai, I., & Vattay, G. (2021) · Frontiers in Blockchain · doi:10.3389/fbloc.2021.668510 · Cited by 21
An anonymous and fair auction system based on blockchain
Ye, Z., Chen, C., Weng, W. H., Sun, H., Tsaur, W.-J., & Deng, Y. (2023) · The Journal of Supercomputing · doi:10.1007/s11227-023-05155-w · Cited by 19
BlockAuth: A blockchain-based framework for secure vehicle authentication and authorization
Ali, G., ELAffendi, M. A., & Ahmad, N. (2023) · PLoS ONE · doi:10.1371/journal.pone.0291596 · Cited by 17
A Review on the Security of the Ethereum-Based DeFi Ecosystem
Xue, Y., Fan, D., Su, S., Fu, J., Hu, N., Liu, W., & Tian, Z. (2023) · Computer Modeling in Engineering & Sciences · doi:10.32604/cmes.2023.031488 · Cited by 16
Blok Zinciri Teknolojisine Yapılan Saldırılar Üzerine bir İnceleme
Taş, O., & Anka, F. (2018) · Bilişim Teknolojileri Dergisi · doi:10.17671/gazibtd.451695 · Cited by 16
A Decentralized Solution for Web Hosting
Huynh, T. T., Nguyen, T. D., & Hanh, T. (2019) · NAFOSTED Conference on Information and Computer Science (NICS) · doi:10.1109/nics48868.2019.9023837 · Cited by 16
A Regulatable Blockchain Transaction Model with Privacy Protection
Xue, Z., Wang, M., Zhang, Q., Zhang, Y., & Лю, П. (2021) · International Journal of Computational Intelligence Systems · doi:10.2991/ijcis.d.210528.001 · Cited by 16
Do Dark Web and Cryptocurrencies Empower Cybercriminals?
Ahvanooey, M. T., Zhu, M. X., Mazurczyk, W., Kilger, M., & Choo, K. R. (2022) · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering · doi:10.1007/978-3-031-06365-7_17 · Cited by 16
The relative importance of competition to contagion: evidence from the digital currency market
Xie, P., Wu, J., & Du, H. (2019) · Financial Innovation · doi:10.1186/s40854-019-0156-y · Cited by 17
SEC-BlockEdge: Security Threats in Blockchain-Edge based Industrial IoT Networks
Kumar, T., Braeken, A., Ramani, V., Ahmad, I., Harjula, E., & Ylianttila, M. (2019) · International Workshop on Resilient Networks Design and Modeling (RNDM) · doi:10.1109/rndm48015.2019.8949107 · Cited by 16
Qazi, S., Khawaja, B. A., Alamri, A., & AlKassem, A. (2024) · World Electric Vehicle Journal · doi:10.3390/wevj15110487 · Cited by 16
The disruption of blockchain technology in accounting: a review of scientific progress
Parra-Domínguez, J., Martín, L. S., López-Pérez, G., & Gómez, J. L. Z. (2025) · Journal of Accounting & Organizational Change · doi:10.1108/jaoc-10-2024-0327 · Cited by 7
Security Threats from Bitcoin Wallet Smartphone Applications
Hu, Y., Wang, S., Tu, G.-H., Xiao, L., Xie, T., Lei, X., & Li, C.-Y. (2021) · ACM Conference on Data and Application Security and Privacy (CODASPY) · doi:10.1145/3422337.3447832 · Cited by 15
Analysis of Blockchain Selfish Mining: a Stochastic Game Approach
Jebari, B., Ibrahimi, K., Jouhari, M., & Ghogho, M. (2022) · International Conference on Communications · doi:10.1109/icc45855.2022.9839233 · Cited by 15
Ravikumar, C. P., Batra, I., & Malik, A. (2023) · Journal of Engineering Science and Technology Review · doi:10.25103/jestr.162.16 · Cited by 15
Silent Timestamping for Blockchain Mining Pool Security
Chang, S., & Park, Y. (2019) · 2012 International Conference on Computing, Networking and Communications (ICNC) · doi:10.1109/iccnc.2019.8685563 · Cited by 15
A Survey on Security Issues in Iot for Blockchain Healthcare
Devibala, A. (2019) · International Conference on Electrical, Computer and Communication Technologies (ICECCT) · doi:10.1109/icecct.2019.8869253 · Cited by 15
Econophysics of cryptocurrency crashes: a systematic review
Бєлінський, А. О., Serdyuk, O. A., Semerikov, S. O., Соловйов, В. М., Білінський, А. І., & Сердюк, О. А. (2021) · doi:10.31812/123456789/6974 · Cited by 15
Blockchain e a Revolução do Consenso sob Demanda
Greve, F. G. P., Sampaio, L. S., Abijaude, J. W., Coutinho, A., Valcy, I., & Queiroz, S. Q. (2018) · doi:10.5753/sbc.21384.1.5 · Cited by 15
RETRACTED ARTICLE: Big data analytics to identify illegal activities on Bitcoin Blockchain for IoMT
Kumar, A., Abhishek, K., Nerurkar, P., Khosravi, M. R., Ghalib, M. R., & Shankar, A. (2021) · Personal and Ubiquitous Computing · doi:10.1007/s00779-021-01562-z · Cited by 15
RetractedLeaking Arbitrarily Many Secrets: Any-out-of-Many Proofs and Applications to RingCT Protocols
Zheng, T., Gao, S. H., Song, Y., & Xiao, B. (2023) · IEEE Symposium on Security and Privacy (S&P) · doi:10.1109/sp46215.2023.10179292 · Cited by 14
Preventing proof-of-work mining attacks
Azimy, H., Ghorbani, A. A., & Bagheri, E. (2022) · Information Sciences · doi:10.1016/j.ins.2022.07.035 · Cited by 14
Role of Zero-Knowledge Proof in Blockchain Security
Tyagi, S., & Kathuria, M. (2022) · International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COM-IT-CON) · doi:10.1109/com-it-con54601.2022.9850714 · Cited by 14
HCA: Hashchain-Based Consensus Acceleration Via Re-Voting
Zhang, Z., Liu, X., Li, M., Yin, H., Zhu, L., Khoussainov, B., & Gai, K. (2023) · IEEE Transactions on Dependable and Secure Computing · doi:10.1109/tdsc.2023.3262283 · Cited by 14
Blockchain-Based Logging to Defeat Malicious Insiders: The Case of Remote Health Monitoring Systems
Javed, H., Abaid, Z., Akbar, S., Ullah, K., Ahmad, A., Saeed, A., Ali, H., Ghadi, Y. Y., Alahmadi, T. J., Alkahtani, H. K., et al. (2023) · IEEE Access · doi:10.1109/access.2023.3346432 · Cited by 14
Trends in Ransomware Attacks: Analysis and Future Predictions
Malik, V., Khanna, A., Sharma, N., & Nalluri, S. (2024) · International Journal of Global Innovations and Solutions (IJGIS) · doi:10.21428/e90189c8.f2996624 · Cited by 14
Siam, K., Saha, B., Hasan, M. M., Faruk, M. J. H., Anjum, N., Tahora, S., Siddika, A., & Shahriar, H. (2025) · Future Internet · doi:10.3390/fi17040183 · Cited by 14
Jumani, F., & Raza, M. (2025) · Computers · doi:10.3390/computers14070247 · Cited by 14
Medusa: Blockchain Powered Log Storage System
Wang, H., Yang, D., Duan, N., Guo, Y., & Zhang, L. (2018) · IEEE International Conference on Software Engineering and Service Science (ICSESS) · doi:10.1109/icsess.2018.8663935 · Cited by 14
Performance Modeling of Bitcoin Blockchain: Mining Mechanism and Transaction-Confirmation Process
Kasahara, S. (2021) · IEICE Transactions on Communications · doi:10.1587/transcom.2021iti0003 · Cited by 14
Kataev, M. Y., & Bulysheva, L. (2022) · Systems Research and Behavioral Science · doi:10.1002/sres.2872 · Cited by 14
Device Identification in Blockchain-Based Internet of Things
Dorri, A., Roulin, C., Pal, S., Baalbaki, S., Jurdak, R., & Kanhere, S. S. (2022) · IEEE Internet of Things Journal · doi:10.1109/jiot.2022.3194671 · Cited by 15
SoK: Network-Level Attacks on the Bitcoin P2P Network
Franzoni, F., & Daza, V. (2022) · IEEE Access · doi:10.1109/access.2022.3204387 · Cited by 16
Blockchain: Opportunities and Challenges in the Educational Context
Garcia-Font, V. (2019) · Lecture notes on data engineering and communications technologies · doi:10.1007/978-3-030-29326-0_7 · Cited by 14
A Reliability Guaranteed Solution for Data Storing and Sharing
Huynh, T. T., Nguyen, T. D., Hoang, T., Tran, L., & Choi, D. (2021) · IEEE Access · doi:10.1109/access.2021.3100707 · Cited by 14
On the Feasibility of Sybil Attacks in Shard-Based Permissionless BlockchainsPreprint
Rajab, T., Manshaei, M. H., Dakhilalian, M., Jadliwala, M. S., & Rahman, M. A. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2002.06531 · Cited by 14
Saleh, O. A., & Cevik, M. (2025) · Sensors · doi:10.3390/s25216622 · Cited by 18
ConMan: A Connection Manipulation-based Attack Against Bitcoin Networking
Fan, W., Chang, S., Zhou, X., & Xu, S. (2021) · IEEE Conference on Communications and Network Security · doi:10.1109/cns53000.2021.9705018 · Cited by 13
Dissecting Mining Pools of Bitcoin Network: Measurement, Analysis and Modeling
Wang, C., Chu, X., & Qin, Y. (2022) · IEEE Transactions on Network Science and Engineering · doi:10.1109/tnse.2022.3210537 · Cited by 13
Rejeb, A., Rejeb, K., Alnabulsi, K., & Zailani, S. H. M. (2023) · Journal of risk and financial management · doi:10.3390/jrfm16080355 · Cited by 13
Cryptocurrency as an investment or speculation: a bibliometric review study
Vasudeva, S. (2023) · Business Analyst Journal · doi:10.1108/baj-07-2022-0008 · Cited by 13
Analyzing the peeling chain patterns on the Bitcoin blockchain
Gong, Y., Chow, K. P., Yiu, S., & Ting, H. (2023) · Forensic Science International Digital Investigation · doi:10.1016/j.fsidi.2023.301614 · Cited by 13
Blockchain-Based Digital Asset Circulation: A Survey and Future Challenges
Zhu, K., Wu, F., Wang, F., Shen, T., Wu, H., Xue, B., & Liu, Y. (2024) · Symmetry · doi:10.3390/sym16101287 · Cited by 17
Apeh, O. O., & Nwulu, N. I. (2025) · Energy Nexus · doi:10.1016/j.nexus.2025.100405 · Cited by 16
A Practical Model to Measure E-Service Quality and E-Customer Satisfaction of Crypto Wallets
Nikzat, P., & Hosseinzade, S. (2025) · Open Journal of Business and Management · doi:10.4236/ojbm.2025.133085 · Cited by 16
Elliptic Curve Digital Signature Algorithm Challenges and Development Stages
Mohamed, M. H., Sobky, W. I. E., & Hamdy, S. (2021) · International Journal of Innovative Technology and Exploring Engineering · doi:10.35940/ijitee.j9433.08101021 · Cited by 13
ATTITUDES OF INDIVIDUALS ABOUT USING CRYPTOCURRENCIES: EVIDENCE FROM TURKEY
FETTAHOĞLU, S., & SAYAN, Ö. (2021) · İstanbul Ticaret Üniversitesi Sosyal Bilimler Dergisi · doi:10.46928/iticusbe.793380 · Cited by 13
On Improving SimBlock Blockchain Simulator
Basile, M., Nardini, G., Perazzo, P., & Dini, G. (2021) · IEEE Symposium on Computers and Communications (ISCC) · doi:10.1109/iscc53001.2021.9631470 · Cited by 13
Sallal, M., Owenson, G., Salman, D., & Adda, M. (2021) · Blockchain Research and Applications · doi:10.1016/j.bcra.2021.100048 · Cited by 13
Blockchain-Based Traceability of Counterfeited Drugs
Rai, B. K., Srivastava, S., & Arora, S. (2023) · International Journal of Reliable and Quality E-Healthcare · doi:10.4018/ijrqeh.318129 · Cited by 13
A Requirements-Driven Methodology for the Proper Selection and Configuration of Blockchains
Staderini, M., Schiavone, E., & Bondavalli, A. (2018) · IEEE Symposium on Reliable Distributed Systems (SRDS) · doi:10.1109/srds.2018.00031 · Cited by 13
Review of Blockchain Security and Privacy
Muralidhara, S., & Usha, B. A. (2021) · International Conference on Computing Methodologies and Communication (ICCMC) · doi:10.1109/iccmc51019.2021.9418424 · Cited by 13
A Survey on Blockchain Data Analysis
Hou, W., Cui, B., & Li, R. (2021) · IEEE Annual International Computer Software and Applications Conference (COMPSAC) · doi:10.1109/compsac51774.2021.00058 · Cited by 13
Blockchain-based solutions for mobile crowdsensing: A comprehensive survey
Yu, R., Oguti, A. M., Obaidat, M. S., Li, S., Wang, P., & Hsiao, K.-F. (2023) · Computer Science Review · doi:10.1016/j.cosrev.2023.100589 · Cited by 13
Blockchain and Cryptocurrency: A Bibliometric Analysis
Jain, S., Sharma, C. B., Das, P., Shambhu, S., & Chen, Y.-H. (2023) · Journal of Advanced Computational Intelligence and Intelligent Informatics · doi:10.20965/jaciii.2023.p0822 · Cited by 12
Zeiß, C., Schaschek, M., Straub, L., Tomitza, C., & Winkelmann, A. (2024) · Electronic Markets · doi:10.1007/s12525-024-00720-4 · Cited by 12
Human Trafficking and the Darknet: Technology, Innovation, and Evolving Criminal Justice Strategies
Reid, J. A., & Fox, B. (2020) · Advanced sciences and technologies for security applications · doi:10.1007/978-3-030-41287-6_5 · Cited by 14
A Study of Bitcoin De-Anonymization: Graph and Multidimensional Data Analysis
Lv, X., Zhong, Y., & Tan, Q. (2020) · IEEE International Conference on Data Science in Cyberspace · doi:10.1109/dsc50466.2020.00059 · Cited by 12
Blockhain impact on economic security
Matyskevic, Y., Simanavičienė, Ž., Belova, I., Фень, К. С., & Skliar, Y. (2021) · Independent Journal of Management & Production · doi:10.14807/ijmp.v12i3.1493 · Cited by 12
Revealing and Concealing Bitcoin Identities: A Survey of Techniques
Bergman, K., & Rajput, S. (2021) · ACM International Symposium on Blockchain and Secure Critical Infrastructure (BSCI) · doi:10.1145/3457337.3457838 · Cited by 12
How "True Bitcoiners" Work on Reddit to Maintain Bitcoin
Knittel, M. L., & Wash, R. (2019) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3290607.3312969 · Cited by 14
DP-Hybrid: A Two-Layer Consensus Protocol for High Scalability in Permissioned Blockchain
Wen, F., Yang, L., Cai, W., & Zhou, P. (2020) · Communications in computer and information science · doi:10.1007/978-981-15-9213-3_5 · Cited by 12
Steganographic Analysis of Blockchains
Giron, A. A., Martina, J. E., & Custódio, R. F. (2021) · Sensors · doi:10.3390/s21124078 · Cited by 12
Impact of COVID-19 effective reproductive rate on cryptocurrency
Minutolo, M. C., Kristjanpoller, W., & Dheeriya, P. L. (2022) · Financial Innovation · doi:10.1186/s40854-022-00354-5 · Cited by 12
Security Analyses of Misbehavior Tracking in Bitcoin Network
Fan, W., Hong, H.-J., Wuthier, S., Zhou, X., Bai, Y. Z., & Chang, S. (2021) · IEEE International Conference on Blockchain and Cryptocurrency (ICBC) · doi:10.1109/icbc51069.2021.9461126 · Cited by 11
Multiscale Feature Fusion and Graph Convolutional Network for Detecting Ethereum Phishing Scams
Chen, Z., Huang, J., Liu, S., & Long, H. (2024) · Electronics · doi:10.3390/electronics13061012 · Cited by 11
Maadallah, Y., Idrissi, Y. E. B. E., & Baddi, Y. (2025) · EDPACS · doi:10.1080/07366981.2025.2454095 · Cited by 13
Iqbal, S., Hussain, M., Munir, M. U., Hussain, Z., Mehrban, S., Ashraf, M. A., & Ayubi, S.-U.-D. (2019) · Advances in finance, accounting, and economics book series · doi:10.4018/978-1-5225-7805-5.ch001 · Cited by 11
On the Security and Performance of Proof-based Consensus Protocols
Rebello, G. A. F., Camilo, G. F., Guimarães, L. C. B., de Souza, L. A. C., & Duarte, O. C. M. B. (2020) · Conference on Cloud and Internet of Things (CIoT) · doi:10.1109/ciot50422.2020.9244295 · Cited by 11
Blockchain in IoT and Beyond: Case Studies on Interoperability and Privacy
Banerjee, A., Dutta, B., Mandal, T., Chakraborty, R., & Mondal, R. (2022) · Lecture notes on data engineering and communications technologies · doi:10.1007/978-981-16-9260-4_5 · Cited by 11
Analysis on Blockchain Vulnerabilities & Attacks on Wallet
Sapna, & Prashar, D. (2021) · International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) · doi:10.1109/icac3n53548.2021.9725403 · Cited by 11
A blockchain-based Aadhar system: distributed authentication system
Goel, V., Aggarwal, M., Gupta, A. K., & Kumar, N. (2022) · TELKOMNIKA (Telecommunication Computing Electronics and Control) · doi:10.12928/telkomnika.v20i6.24231 · Cited by 11
A combinatorial-probabilistic analysis of bitcoin attacks
Georgiadis, E., & Zeilberger, D. (2018) · The Journal of Difference Equations and Applications · doi:10.1080/10236198.2018.1555247 · Cited by 11
A Survey of Attacks on the Bitcoin System
Soni, A., & Maheshwari, S. (2018) · IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS) · doi:10.1109/sceecs.2018.8546925 · Cited by 11
Cyber Risk Management with Risk Aware Cyber-Insurance in Blockchain Networks
Feng, S., Xiong, Z., Niyato, D. T., Wang, P., Wang, S. S., & Zhang, Y. (2018) · Globecom · doi:10.1109/glocom.2018.8648141 · Cited by 11
A Survey on Attacks of Bitcoin
Joshi, J., & Mathew, R. (2018) · Lecture Notes on Data Engineering and Communications Technologies · doi:10.1007/978-3-030-24643-3_113 · Cited by 8
Privacy for 5G-Supported Vehicular Networks
Li, M., Zhu, L., Zhang, Z., Lal, C., Conti, M., & Martinelli, F. (2021) · IEEE Open Journal of the Communications Society · doi:10.1109/ojcoms.2021.3103445 · Cited by 11
Analysis and Patterns of Unknown Transactions in Bitcoin
Caprolu, M., Pontecorvi, M., Signorini, M., Segarra, C., & Pietro, R. D. (2021) · IEEE International Conference on Blockchain (Blockchain) · doi:10.1109/blockchain53845.2021.00031 · Cited by 11
Consensus Algorithms on Appendable-Block Blockchains: Impact and Security Analysis
Lunardi, R. C., Michelin, R. A., Nunes, H. C., Neu, C. V., Zorzo, A. F., & Kanhere, S. S. (2022) · Mobile Networks and Applications · doi:10.1007/s11036-022-02015-4 · Cited by 12
Agent-based Modelling of Bitcoin Consensus without Block Rewards
Kraner, B., Li, S., Teixeira, A. S., & Tessone, C. J. (2022) · IEEE International Conference on Blockchain (Blockchain) · doi:10.1109/blockchain55522.2022.00015 · Cited by 11
Research on privacy enhancement scheme of blockchain transactions
Feng, T., Chen, X., Liu, C., & Feng, X. (2019) · Security and Privacy · doi:10.1002/spy2.89 · Cited by 11
Ford, B. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2011.02412 · Cited by 11
Adoption of Security and Privacy Measures in Bitcoin – Stated and Actual BehaviorPreprint
Fabian, B., Ermakova, T., Krah, J., Lando, E., & Ahrary, N. (2018) · SSRN Electronic Journal · doi:10.2139/ssrn.3184130 · Cited by 12
Analysis of Blockchain Induced Cryptocurrency: Regulations and Challenges of Cryptocurrencies
Singh, G., Gautam, S., Prachi, Verma, A., & Kaushal, T. (2021) · Advances in intelligent systems and computing · doi:10.1007/978-981-15-9927-9_54 · Cited by 11
Mobile edge computing-enabled blockchain: contract-guided computation offloading
Li, Y., Lin, Z., Zhang, W., Zheng, Y., & Yang, J. (2022) · The Journal of Supercomputing · doi:10.1007/s11227-022-04990-7 · Cited by 10
EDIT: A data inspection tool for smart contracts temporal behavior modeling and prediction
Salve, A. D., Brighente, A., & Conti, M. (2024) · Future Generation Computer Systems · doi:10.1016/j.future.2024.01.004 · Cited by 10
BZIP: A Compact Data Memory System for UTXO-based Blockchains
Jiang, S., Li, J., Gong, S., Yan, J., Yan, G., Sun, Y., & Li, X. (2019) · International Conference on Embedded Software and Systems · doi:10.1109/icess.2019.8782459 · Cited by 10
A type of block withholding delay attack and the countermeasure based on type-2 fuzzy inference
Liu, L., Chen, W., Zhang, L., Liu, J., & Qin, J. (2019) · Mathematical Biosciences & Engineering · doi:10.3934/mbe.2020017 · Cited by 10
Compact Multiple Attribute-Based Signatures With Key Aggregation and Its Application
Guo, R., Li, K., Li, X., Zhang, Y., & Li, X. (2022) · IEEE Systems Journal · doi:10.1109/jsyst.2022.3148989 · Cited by 10
Huang, J., Huang, T., Wei, H., Zhang, J., Yan, H., Wong, D. S., & Hu, H. (2022) · Transactions on Emerging Telecommunications Technologies · doi:10.1002/ett.4709 · Cited by 11
Can Cryptocurrency Be a Payment Method in a Developing Economy?
Budree, A., & Nyathi, T. N. (2023) · Journal of Electronic Commerce in Organizations · doi:10.4018/jeco.320223 · Cited by 10
The Cryptographic Complexity of Anonymous Coins: A Systematic Exploration
Amarasinghe, N., Boyen, X., & McKague, M. (2021) · Cryptography · doi:10.3390/cryptography5010010 · Cited by 10
A Privacy Protection Method of Lightweight Nodes in Blockchain
Lin, G., & Jiang, T. (2021) · Security and Communication Networks · doi:10.1155/2021/2067137 · Cited by 11
BCoT: Introduction to Blockchain-Based Internet of Things for Industry 5.0
De, D., Karmakar, A., Banerjee, P. S., Bhattacharyya, S., & Rodrigues, J. J. P. C. (2022) · Lecture notes on data engineering and communications technologies · doi:10.1007/978-981-16-9260-4_1 · Cited by 10
A privacy-preserving and efficient byzantine consensus through multi-signature with ring
Wu, X., Ling, H., Liu, H., & Yu, F. (2022) · Peer-to-Peer Networking and Applications · doi:10.1007/s12083-022-01317-4 · Cited by 11
Metadata
- Authors
- Conti, M., Sandeep Kumar, E., Lal, C., & Ruj, S.
- Affiliations
- University of Padua (IT)
- Manipal University Jaipur (IN)
- Indian Statistical Institute (IN)
- Venue
- IEEE Communications Surveys & Tutorials
- Published
- 2018
- Volume
- 20
- Issue
- 4
- Pages
- 3416-3452
- ISSN
- 1553-877X (ISSN-L)
- 2373-745X
- OpenAlex
- W2624307925
- Cited by
- 1,116
- References
- 173
- Citations by year
- 2026: 84 · 2025: 125 · 2024: 94 · 2023: 135 · 2022: 145 · 2021: 164 · 2020: 160 · 2019: 137 · 2018: 67
- FWCI
- 213.02
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Locations
- IEEE Communications Surveys & Tutorials (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- Padua Research Archive (University of Padova) (submittedVersion)
- arXiv (Cornell University)
- Topics
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Physical Sciences › Computer Science › Computer Networks and Communications › Cryptography and Data Security
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology in Education and Learning
- Keywords
- Bitcoin, cryptocurrency security, blockchain, proof-of-work, distributed consensus, mining, vulnerability (computer security), anonymity, privacy risks, security countermeasures
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review