Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Bücher
Zeitschriften
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
SLX-Digitalkonferenz: Zukunftswerkstatt 2024

Mehr Umsatz mit Top-Kontakten

Am 7. Mai erfahren Sie, wie Vertriebsteams Leadgenerierung, Leadnurturing und Leadstrategien effizient steuern können.
Erweiterte Suche
Anmelden
nach oben
Erschienen in:
Blockchain in Cybersecurity Realm: An Overview Kapitel lesen Erstes Kapitel lesen

2020 | OriginalPaper | Buchkapitel

A Systematic Literature Review of Integration of Blockchain and Artificial Intelligence

verfasst von : Ala Ekramifard, Haleh Amintoosi, Amin Hosseini Seno, Ali Dehghantanha, Reza M. Parizi

Erschienen in: Blockchain Cybersecurity, Trust and Privacy

Verlag: Springer International Publishing

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Blockchain and artificial intelligence (AI) have gain the most research attention during recent years. Blockchain is a distributed ledger of trustworthy digital records shared by a network of participants. Blockchain technology has the potential capacity in many fields such as international payment, secure data sharing and marketing, and supply chain management. On the other side, Artificial Intelligence (AI) is used to develop the creation of machines capable of performing tasks that need intelligence.
This paper aims to determine the current state of the art within the field of AI with Blockchain technology. In particular, we investigated the latest articles on this integration and carried out an analysis to determine what applications can benefit from it. We identified 23 articles that comply with the assessment criteria. The review research demonstrates that distributed management, security and efficiency improvement, prediction and decision making are among the most popular types of applications that benefit from the integration of AI and Blockchain, while security is the hottest topic. In general, AI algorithms can improve Blockchain design and operation. The combination of these two technologies increases security, efficiency and, productivity of applications.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Vorheriges Kapitel Blockchain Applications in Power Systems: A Bibliometric Analysis
Nächstes Kapitel The Future of Blockchain Technology in Healthcare Internet of Things Security
Fußnoten
Literatur
1.
2.
S. Homayoun, A. Dehghantanha, R.M. Parizi, K.K.R. Choo, A blockchain-based framework for detecting malicious mobile applications in app stores, in 32nd IEEE Canadian Conference of Electrical and Computer Engineering (IEEE CCECE’19). Canada (2019)
3.
Q. Zhang, R.M. Parizi, K.K.R. Choo, A pentagon of considerations towards more secure blockchains, in IEEE Blockchain Technical Briefs (2018)
4.
A. Yazdinejad, R.M. Parizi, A. Dehghantanha, K.K.R. Choo, Blockchain-enabled authentication handover with efficient privacy protection in SDN-based 5G networks. arXiv:1905.03193 (2019)
5.
P. Mamoshina, L. Ojomoko, Y. Yanovich, A. Ostrovski, A. Botezatu, P. Prikhodko, A. Zhavoronkov, Converging blockchain and next-generation artificial intelligence technologies to decentralize and accelerate biomedical research and healthcare. Oncotarget 9(5), 5665–5690 (2017)
6.
Y. Guo, C. Liang, Blockchain application and outlook in the banking industry. Financ. Innov. 2, 24 (2016)CrossRef
7.
H. Watanabe, S. Fujimura, A. Nakadaira, Y. Miyazaki, A. Akutsu, J. Kishigami, Blockchain contract: securing a blockchain applied to smart contracts, in IEEE International Conference on Consumer Electronics (ICCE), Las Vegas, NV, pp. 467–468 (2016)
8.
S. Makridakis, A. Polemitis, G. Giaglis, S. Louca, Blockchain: the next breakthrough in the rapid progress of AI, in Artificial Intelligence-Emerging Trends and Applications (IntechOpen, 2018)
9.
R.M. Parizi, A. Dehghantanha, On the understanding of gamification in blockchain systems, in 6th IEEE International Conference on Future Internet of Things and Cloud (FiCloud’18), Barcelona, Spain (IEEE Computer Society, 2018)
10.
M. Koch, Artificial intelligence is becoming natural. Cell 173(3), 531–533 (2018)CrossRef
11.
G. Dermody, R. Fritz, A conceptual framework for clinicians working with artificial intelligence and health-assistive smart homes. Nursing Inquiry 26, e12267 (2018)CrossRef
12.
P. Agarwal, Redefining banking and financial industry through the application of computational intelligence, in 2019 Advances in Science and Engineering Technology International Conferences (ASET), Dubai, United Arab Emirates, pp. 1–5
13.
14.
K. Salah, M.H.U. Rehman, N. Nizamuddin, A. Al-Fuqaha, Blockchain for AI: review and open research challenges. IEEE Access 7, 10127–10149 (2019)CrossRef
15.
Y. Qi, J. Xiao, Fintech: AI powers financial services to improve people’s lives. Commun. ACM 61(11), 6569 (2018)CrossRef
16.
R.M. Parizi, A. Dehghantanha, Smart contract programming languages on blockchains: an empirical evaluation of usability and security, in 1st International Conference on Blockchain (ICBC’18), Seattle, USA. LNCS (Springer, 2018)
17.
R.M. Parizi, A. Dehghantanha, K.K.R. Choo, A. Singh, Empirical vulnerability analysis of automated smart contracts security testing on blockchains, in 28th ACM Annual International Conference on Computer Science and Software Engineering (CASCON’18), Ontario, Canada (IBM, 2018)
18.
K. Rabah, Convergence of AI, IoT, big data and blockchain: a review. Lake Inst. J. 1(1), 1–18 (2018)
19.
B. Kitchenham, S. Charters, Guidelines for performing systematic literature reviews in software engineering. Engineering 1051(2), 1051 (2017)
20.
H. Tang, Y. Jiao, B. Huang, C. Lin, S. Goyal, B. Wang, Learning to classify blockchain peers according to their behavior sequences. IEEE Access 6, 71208–71215 (2018)CrossRef
21.
A. Firdaus, N.B. Anuar, M.F. Ab Razak, I.A.T. Hashem, S. Bachok, A.K. Sangaiah, Root exploit detection and features optimization: mobile device and blockchain based medical data management. J. Med. Syst. 42(6), 112 (2018)CrossRef
22.
R.Y. Chen, A traceability chain algorithm for artificial neural networks using T–S fuzzy cognitive maps in blockchain. Futur. Gener. Comput. Syst. 80, 198–210 (2018)CrossRef
23.
H. Jang, J. Lee, An empirical study on modeling and prediction of bitcoin prices with Bayesian neural networks based on blockchain information. IEEE Access 6, 5427–5437 (2018)CrossRef
24.
S. Dey, A proof of work: securing majority-attack in blockchain using machine learning and algorithmic game theory. Int. J. Wirel. Microwave Technol. 5, 1–9 (2018)
25.
C. Xu, K. Wang, M. Guo, Intelligent resource management in blockchain-based cloud datacenters. IEEE Cloud Comput. 4(6), 50–59 (2017)CrossRef
26.
D. Mao, F. Wang, Z. Hao, H. Li, Credit evaluation system based on blockchain for multiple stakeholders in the food supply chain. Int. J. Environ. Res. Public Health 15(8), 1627 (2018)CrossRef
27.
S.H. Lee, C.S. Yang, Fingernail analysis management system using microscopy sensor and blockchain technology. Int. J. Distrib. Sens. Netw. 14(3), 1550147718767044 (2018)CrossRef
28.
K. Chung, H. Yoo, D. Choe, H. Jung, Blockchain network based topic mining process for cognitive manufacturing. Wirel. Pers. Commun. 105, 583–597 (2018)CrossRef
29.
J. An, D. Liang, X. Gui, H. Yang, R. Gui, X. He, Crowdsensing quality control and grading evaluation based on a two-consensus blockchain. IEEE Internet Things J. 6(3), 4711–4718 (2019)CrossRef
30.
Y. Zhao, Y. Yu, Y. Li, G. Han, X. Du, Machine learning based privacy-preserving fair data trading in big data market. Inf. Sci. 478, 449–460 (2019)CrossRef
31.
P. Mamoshina, L. Ojomoko, Y. Yanovich, A. Ostrovski, A. Botezatu, P. Prikhodko, I.O. Ogu, Converging blockchain and next-generation artificial intelligence technologies to decentralize and accelerate biomedical research and healthcare. Oncotarget 9(5), 5665–5690 (2018)CrossRef
32.
R. Graf, R. King, Neural network and Blockchain based technique for cyber threat intelligence and situational awareness, in 2018 10th International Conference on Cyber Conflict (CyCon) (IEEE, 2018), pp. 409–426
33.
A. Kundu, Z. Sura, U. Sharma, Collaborative and accountable hardware governance using blockchain, in 2018 IEEE 4th International Conference on Collaboration and Internet Computing (CIC) (2018), pp. 114–121
34.
S. Raje, S. Vaderia, N. Wilson, R. Panigrahi, Decentralised firewall for malware detection, in 2017 International Conference on Advances in Computing, Communication and Control (ICAC3) (IEEE, 2017), pp. 1–5
35.
N.M. Ahmad, S.F.A. Razak, S. Kannan, I. Yusof, A.H.M. Amin, Improving identity management of cloud-based IoT applications using blockchain, in 2018 International Conference on Intelligent and Advanced System (ICIAS) (IEEE, 2018), pp. 1–6
36.
X. Zheng, R.R. Mukkamala, R. Vatrapu, J. Ordieres-Mere, Blockchain-based personal health data sharing system using cloud storage, in 2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom) (IEEE, 2018), pp. 1–6
37.
A. Juneja, M. Marefat, Leveraging blockchain for retraining deep learning architecture in patient-specific arrhythmia classification, in 2018 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI) (IEEE, 2018), pp. 393–397
38.
K. Singla, J. Bose, S. Katariya, Machine learning for secure device personalization using blockchain, in 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI) (IEEE, 2018), pp. 67–73
39.
N.C. Luong, Z. Xiong, P. Wang, D. Niyato, Optimal auction for edge computing resource management in mobile blockchain networks: a deep learning approach, in 2018 IEEE International Conference on Communications (ICC) (IEEE, 2018), pp. 1–6
40.
D. Ermilov, M. Panov, Y. Yanovich, Automatic bitcoin address clustering, in 2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA) (IEEE, 2017), pp. 461–466
41.
A. Bogner, Seeing is understanding: anomaly detection in blockchains with visualized features, in Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers (ACM, 2017), pp. 5–8
42.
N.N. Vo, G. Xu, The volatility of bitcoin returns and its correlation to financial markets, in 2017 International Conference on Behavioral, Economic, Socio-cultural Computing (BESC) (IEEE, 2017), pp. 1–6
Metadaten
Titel
A Systematic Literature Review of Integration of Blockchain and Artificial Intelligence
verfasst von
Ala Ekramifard
Haleh Amintoosi
Amin Hosseini Seno
Ali Dehghantanha
Reza M. Parizi
Copyright-Jahr
2020
Buch
Blockchain Cybersecurity, Trust and Privacy

Print ISBN: 978-3-030-38180-6

Electronic ISBN: 978-3-030-38181-3

Copyright-Jahr: 2020

DOI
https://doi.org/10.1007/978-3-030-38181-3_8

Premium Partner

    Bildnachweise