Analytical tools for blockchain: review, taxonomy and open challenges.
Journal article
Balaskas, Anastasios and Franqueira, Virginia N. L. 2018. Analytical tools for blockchain: review, taxonomy and open challenges. IEE Explore. https://doi.org/10.1109/CyberSecPODS.2018.8560672
| Authors | Balaskas, Anastasios and Franqueira, Virginia N. L. |
|---|---|
| Abstract | Bitcoin has introduced a new concept that could feasibly revolutionise the entire Internet as it exists, and positively impact on many types of industries including, but not limited to, banking, public sector and supply chain. This innovation is grounded on pseudo-anonymity and strives on its innovative decentralised architecture based on the blockchain technology. Blockchain is pushing forward a race of transaction-based applications with trust establishment without the need for a centralised authority, promoting accountability and transparency within the business process. However, a blockchain ledger (e.g., Bitcoin) tend to become very complex and specialised tools, collectively called “Blockchain Analytics”, are required to allow individuals, law enforcement agencies and service providers to search, explore and visualise it. Over the last years, several analytical tools have been developed with capabilities that allow, e.g., to map relationships, examine flow of transactions and filter crime instances as a way to enhance forensic investigations. This paper discusses the current state of blockchain analytical tools and presents a thematic taxonomy model based on their applications. It also examines open challenges for future development and research. |
| Keywords | Blockchain; Cryptocurrency; Bitcoin; Tools; Blockchain Analytics; Digital Forensics; Cybercrime Investigation |
| Year | 2018 |
| Journal | IEE Explore |
| Publisher | IEEE Computer Society |
| Digital Object Identifier (DOI) | https://doi.org/10.1109/CyberSecPODS.2018.8560672 |
| Web address (URL) | http://hdl.handle.net/10545/623400 |
| hdl:10545/623400 | |
| Publication dates | 06 Dec 2018 |
| Publication process dates | |
| Deposited | 28 Jan 2019, 17:28 |
| ISBN | 9781538646830 |
| Contributors | University of Derby |
| File | File Access Level Open |
| File | File Access Level Open |
Permalink -
https://repository.derby.ac.uk/item/92z6v/analytical-tools-for-blockchain-review-taxonomy-and-open-challenges
Download files
79
total views659
total downloads3
views this month180
downloads this month
Export as
Related outputs
Deep labeller: automatic bounding box generation for synthetic violence detection datasets
Nadeem, M., Kurugollu, F., Saravi, S., Atlam, H. and Franqueira, V. 2023. Deep labeller: automatic bounding box generation for synthetic violence detection datasets. Multimedia Tools and Applications. pp. 1-18. https://doi.org/10.1007/s11042-023-15621-5
Integration and evaluation of QUIC and TCP-BBR in longhaul science data transfers
Lopes, Raul H. C., Franqueira, Virginia N. L. and Duncan, Rand 2019. Integration and evaluation of QUIC and TCP-BBR in longhaul science data transfers. EPJ Web of Conferences. 214, p. 08026. https://doi.org/10.1051/epjconf/201921408026Privacy verification of photoDNA based on machine learning
Nadeem, Muhammad Shahroz, Franqueira, Virginia N. L. and Zhai, Xiaojun 2019. Privacy verification of photoDNA based on machine learning. in: The Institution of Engineering and Technology (IET).Behavioural Digital Forensics Model: Embedding Behavioural Evidence Analysis into the Investigation of Digital Crimes
Al Mutawa, Noora, Bryce, Joanne, Franqueira, Virginia N.L., Marrington, Andrew and Read, Janet C. 2018. Behavioural Digital Forensics Model: Embedding Behavioural Evidence Analysis into the Investigation of Digital Crimes. Digital Investigation. https://doi.org/10.1016/j.diin.2018.12.003Blockchain-Based Distributed Marketplace.
Kabi, Oliver R. and Franqueira, Virginia N. L. 2019. Blockchain-Based Distributed Marketplace. in: Springer Nature.A survey of deep learning solutions for multimedia visual content analysis.
Nadeem, Muhammad Shahroz, Franqueira, Virginia N. L., Zhai, Xiaojun and Kurugollu, Fatih 2019. A survey of deep learning solutions for multimedia visual content analysis. IEEE Access. https://doi.org/10.1109/ACCESS.2019.DOIA tutorial introduction to IoT design and prototyping with examples.
Meruje, Manuel, Sumaila, Musa, Franqueira, Virginia N. L., Freire, Mario M. and Inacio, Pedro R. M. 2018. A tutorial introduction to IoT design and prototyping with examples. in: Wiley-IEEE Press.Cloud forensics and security
Franqueira, Virginia N. L., Lopes, Raul, Jones, Andrew and Storer, Tim 2017. Cloud forensics and security. SpringerOpen.On Locky ransomware, Al Capone and Brexit
MacRae, John and Franqueira, Virginia N. L. 2018. On Locky ransomware, Al Capone and Brexit. in: Springer.Man-In-The-Middle attacks in Vehicular Ad-Hoc Networks: Evaluating the impact of attackers’ strategies.
Ahmad, F., Adnane, Asma, Franqueira, Virginia N. L., Kurugollu, Fatih and Liu, Lu 2018. Man-In-The-Middle attacks in Vehicular Ad-Hoc Networks: Evaluating the impact of attackers’ strategies. Sensors. 18 (11), p. 4040. https://doi.org/10.3390/s18114040TEAM: A trust evaluation and management framework in context-enabled vehicular ad-hoc networks.
Ahmad, F., Franqueira, Virginia N. L. and Adnane, Asma 2018. TEAM: A trust evaluation and management framework in context-enabled vehicular ad-hoc networks. IEEE Access. https://doi.org/10.1109/ACCESS.2018.2837887Investigation of indecent images of children cases: Challenges and suggestions collected from the trenches.
Franqueira, Virginia N. L., Bryce, Joanne, Al Mutawa, Noora and Marrington, Andrew 2017. Investigation of indecent images of children cases: Challenges and suggestions collected from the trenches. Digital Investigation. https://doi.org/10.1016/j.diin.2017.11.002Parallel Monte Carlo search for Hough Transform.
Lopes, Raul, Franqueira, Virginia N. L., Reid, Ivan D. and Hobson, Peter 2017. Parallel Monte Carlo search for Hough Transform. Journal of Physics: Conference Series. https://doi.org/10.1088/1742-6596/898/7/072052Verifiable public key encryption scheme with equality test in 5G networks
Xu, Yan, Wang, Ming, Zhong, Hong, Cui, Jie, Liu, Lu and Franqueira, Virginia N. L. 2017. Verifiable public key encryption scheme with equality test in 5G networks. IEEE Access. https://doi.org/10.1109/ACCESS.2017.2716971Special issue on cyberharassment investigation: Advances and trends
Bryce, Joanne, Franqueira, Virginia N. L. and Marrington, Andrew 2016. Special issue on cyberharassment investigation: Advances and trends. Journal of Digital Forensics, Security and Law (JDFSL).Faith in vehicles: A set of evaluation criteria for trust management in vehicular ad-hoc network
Ahmad, F., Hall, Jordan, Adnane, Asma and Franqueira, Virginia N. L. 2017. Faith in vehicles: A set of evaluation criteria for trust management in vehicular ad-hoc network. IEEE.Forensically-sound analysis of security risks of using local password managers
Gray, Joshua, Franqueira, Virginia N. L. and Yu, Yijun 2016. Forensically-sound analysis of security risks of using local password managers. IEEE Computer Society. https://doi.org/10.1109/REW.2016.034Forensic investigation of cyberstalking cases using Behavioural Evidence Analysis
Al Mutawa, Noora, Bryce, Joanne, Marrington, Andrew and Franqueira, Virginia N. L. 2016. Forensic investigation of cyberstalking cases using Behavioural Evidence Analysis. Digital Investigation. https://doi.org/10.1016/j.diin.2016.01.012To flip or not to flip: a critical interpretive synthesis of flipped teaching
Franqueira, Virginia N. L. and Tunnicliffe, Peter 2015. To flip or not to flip: a critical interpretive synthesis of flipped teaching. in: Springer International Publishing.Factors influencing digital forensic investigations: Empirical evaluation of 12 years of Dubai police cases
Al Awadhi, Ibtesam, Read, Janet C., Marrington, Andrew and Franqueira, Virginia N. L. 2015. Factors influencing digital forensic investigations: Empirical evaluation of 12 years of Dubai police cases. Journal of Digital Forensics, Security and Law (JDFSL).A systematic approach for cyber security in vehicular networks
Ahmad, F., Adnane, Asma and Franqueira, Virginia N. L. 2016. A systematic approach for cyber security in vehicular networks. Journal of Computer and Communications. https://doi.org/10.4236/jcc.2016.416004Introduction to special issue on risk and trust in embedded critical systems
Rossebø, Judith E. Y., Houmb, Siv H., Georg, Geri, Franqueira, Virginia N. L. and Serpanos, Dimitrios 2014. Introduction to special issue on risk and trust in embedded critical systems. ACM Transactions on Embedded Computing Systems. https://doi.org/10.1145/2659008Efficient computation of hashes
Lopes, Raul, Franqueira, Virginia N. L. and Hobson, Peter 2014. Efficient computation of hashes. Journal of Physics: Conference Series. https://doi.org/10.1088/1742-6596/513/3/032042Behavioural evidence analysis applied to digital forensics: An empirical analysis of child pornography cases using P2P networks
Mutawa, Noora Al, Bryce, Joanne, Franqueira, Virginia N. L. and Marrington, Andrew 2015. Behavioural evidence analysis applied to digital forensics: An empirical analysis of child pornography cases using P2P networks. IEEE Computer Society. https://doi.org/10.1109/ARES.2015.49Challenges of data provenance for cloud forensic investigations
Katilu, Victoria M., Franqueira, Virginia N. L. and Angelopoulou, Olga 2015. Challenges of data provenance for cloud forensic investigations. IEEE Computer Society. https://doi.org/10.1109/ARES.2015.54