Skip to main content
SpringerLink
Log in

AI and Blockchain for Cyber Security in Cyber-Physical System

  • Chapter
  • First Online:
AI Models for Blockchain-Based Intelligent Networks in IoT Systems

Part of the book series: Engineering Cyber-Physical Systems and Critical Infrastructures ((ECPSCI,volume 6))

Abstract

The convergence of communication networks among devices and systems is the focus of much recent technological innovation and development. CPS has a wide range of applications, such as in industrial control systems and important industries including healthcare and electricity production. As CPS with internet networks become more integrated, security breaches and vulnerabilities arise. Blockchain technology and artificial intelligence are expanding quickly in both business and daily uses. The real-time processing of data across several information systems is a bottleneck in centralised systems and applications, such as healthcare. Blockchain’s decentralized database management system, protect data storage, data interchange, and authentication would be able to address this issue. In addition to the blockchain, AI may offer perceptions from the collective data that is acquired and applied to foresee the future. Blockchain is indeed a cutting-edge security technology which, through mutual agreements between nodes, creates chains that chronologically link the new block to the previously stored blocks in nodes. The rise of numerous businesses, including banking, finance, cybersecurity, forecasting, healthcare, cryptocurrencies, etc., is accelerated by technology convergence. The threat of hacking such systems increases as more digital technologies are used and services are offered by these companies. Artificial intelligence and blockchain technology working together can create a robust safeguard opposing such attack and protection risks. This chapter will explore how blockchain technology and artificial intelligence are collaborating to enhance cybersecurity. We’ll go into more detail about how they help secure cyber-physical systems.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Lee J, Azamfar M, Singh J (2019) A blockchain enabled cyber-physical system architecture for industry 4.0 manufacturing systems. Manuf Lett 20:34–39

    Article  Google Scholar 

  2. Zheng Z, Xie S, Dai H, Chen X, Wang H (2017) An overview of blockchain technology: architecture consensus and future trends. In: 2017 IEEE international congress on big data (bigdata congress), pp 557–564

    Google Scholar 

  3. Renuka KM, Kumari S, Zhao D, Li L (2019) Design of a secure password-based authentication scheme for M2M networks in IoT enabled cyber-physical systems. IEEE Access 7:51014–51027

    Article  Google Scholar 

  4. Genge B, Haller P, Duka A-V (2019) Engineering security-aware control applications for data authentication in smart industrial cyber-physical systems. Future Gener Comput Syst 91:206–222

    Article  Google Scholar 

  5. Nkenyereye L, Adhi Tama B, Shahzad MK, Choi Y-H (2019) Secure and blockchain-based emergency driven message protocol for 5G enabled vehicular edge computing. Sensors (Basel Switzerland) 20(1). https://doi.org/10.3390/s20010154

  6. Vangala A, Bera B, Saha S, Das AK, Kumar N, Park YH (2021) Blockchain-enabled certificate-based authentication for vehicle accident detection and notification in intelligent transportation systems. IEEE Sensors J 21(14):15824–15838

    Google Scholar 

  7. Tawalbeh LA, Tawalbeh H (2017) Lightweight crypto and security. In: Security and privacy in cyber-physical systems: foundations principles and applications, pp 243–261

    Google Scholar 

  8. Bahalul Haque AKM, Bhushan B, Nawar A, Talha KR, Ayesha SJ (2022) Attacks and countermeasures in IoT based smart healthcare applications. In: Balas VE, Solanki VK, Kumar R (eds) Recent advances in internet of things and machine learning. Intelligent systems reference library, vol 215. Springer, Cham. https://doi.org/10.1007/978-3-030-90119-6_6

  9. Srinivas J, Das AK, Kumar N (2019) Government regulations in cyber security: Framework standards and recommendations. Future Gener Comput Syst 92:178–188

    Article  Google Scholar 

  10. Chen H, Pendleton M, Njilla L, Xu S (2019) A survey on Ethereum systems security: vulnerabilities attacks and defences. CoRR abs/1908.04507, pp 1–29

    Google Scholar 

  11. Su Z, Dai M, Qi Q, Wang Y, Xu Q, Yang Q (2018) Task allocation scheme for cyber physical social systems. IEEE Trans Netw Sci Eng 7(2):832–842

    Article  MathSciNet  Google Scholar 

  12. Feng Q, He D, Zeadally S, Khan MK, Kumar N (2019) A survey on privacy protection in blockchain system. J Netw Comput Appl 126:45–58

    Article  Google Scholar 

  13. Xu Q, Su Z, Lu R (2020) Game theory and reinforcement learning based secure edge caching in mobile social networks. IEEE Trans Inf Forensics Secur 15:3415–3429

    Article  Google Scholar 

  14. Hathaliya JJ, Tanwar S, Tyagi S, Kumar N (2019) Securing electronics healthcare records in healthcare 4.0: a biometric-based approach. Comput Elect Eng 76:398–410

    Article  Google Scholar 

  15. Kim H, Ben-Othman J (2020) Toward integrated virtual emotion system with ai applicability for secure cps-enabled smart cities: Ai-based research challenges and security issues. IEEE Netw 34(3):30–36

    Article  Google Scholar 

  16. Sarker IH, Furhad MH, Nowrozy R (2021) AI-driven cybersecurity: an overview security intelligence modelling and research directions. SCI 2:173. https://doi.org/10.1007/s42979-021-00557-0

  17. Sravanthi K, Kumar SM, Amit T (2019) Cyber physical systems: the role of machine learning and cyber security in present and future. Comput Rev J 4

    Google Scholar 

  18. Wajid MA, Zafar A (2021) Pestel analysis to identify key barriers to smart cities development in India. Neutrosophic Sets Syst 42:39–48

    Google Scholar 

  19. Sarker IH, Kayes ASM, Badsha S, Alqahtani H, Watters P, Ng A (2020) Cybersecurity data science: an overview from machine learning perspective. J Big data 7(1):1–29

    Article  Google Scholar 

  20. Basso T, Silva H, Moraes R (2019) Extending a re-identification risk-based anonymisation framework and evaluating its impact on data mining classifiers. IJCBCS 9(4):348–378

    Google Scholar 

  21. Saha R, Misra S, Deb PK (2021) Fog FL: fog-assisted federated learning for resource-constrained IoT devices. IEEE Internet Things J 8(10):8456–8463

    Article  Google Scholar 

  22. Reham MF (2018) Security vulnerabilities of cyberphysical unmanned aircraft systems. IEEE Aerosp Electron Syst Mag 33(9):4–17

    Article  Google Scholar 

  23. Pollard T, Clark J (2019) Connected aircraft: cyber-safety risks insider threat and management approaches. In: Proceedings of the 52nd Hawaii international conference on system sciences

    Google Scholar 

  24. Guo R, Tian J, Wang B, Shang F (2020) Cyber-physical attack threats analysis for UAVs from CPS perspective. In: 2020 international conference on computer engineering and application (ICCEA)

    Google Scholar 

  25. Kumar A, Bhushan B, Nand P (2022) Preventing and detecting intrusion of cyberattacks in smart grid by integrating blockchain. In: Sharma DK, Peng SL, Sharma R, Zaitsev DA (eds) Micro-electronics and telecommunication engineering. Lecture notes in networks and systems, vol 373. Springer, Singapore. https://doi.org/10.1007/978-981-16-8721-1_12

  26. Onyema EM, Dalal S, Romero CAT, Seth B, Young P, Wajid MA (2022) Design of intrusion detection system based on cyborg intelligence for security of cloud network traffic of smart cities. J Cloud Comput 11(1):1–20

    Article  Google Scholar 

  27. Mistry I, Tanwar S, Tyagi S, Kumar N (2020) Blockchain for 5G-enabled IoT for industrial automation: a systematic review solutions and challenges. Mech Syst Signal Process 135

    Google Scholar 

  28. Bagga P, Sutrala AK, Das AK, Vijayakumar P (2021) Blockchain-based batch authentication protocol for Internet of Vehicles. J Syst Architect 113

    Google Scholar 

  29. Anusha R, Yousuff M, Bhushan B, Deepa J, Vijayashree J, Jayashree J (2022) Connecting blockchain with IoT—a review. In: Sharma DK, Peng SL, Sharma R, Zaitsev DA (eds) Micro-electronics and telecommunication engineering. Lecture notes in networks and systems, vol 373. Springer, Singapore. https://doi.org/10.1007/978-981-16-8721-1_14

  30. Parrend P, Navarro J, Guigou F, Deruyver A, Collet P (2018) Foundations and applications of artificial intelligence for zero-day and multi-step attack detection. EURASIP J Inf Secur 2018(1):4

    Article  Google Scholar 

  31. De Bruijn H, Janssen M (2017) Building cybersecurity awareness: the need for evidence-based framing strategies. Gov Inf Q 34(1):1–7

    Article  Google Scholar 

  32. Maalem Lahcen RA, Caulkins B, Mohapatra R, Kumar M (2020) Review and insight on the behavioral aspects of cybersecurity. Cybersecurity 3:1–18

    Google Scholar 

  33. Misra S, Mukherjee A, Roy A, Saurabh N, Rahulamathavan Y, Rajarajan M (2021) Blockchain at the edge: performance of resource-constrained IoT networks. IEEE Trans Parallel Distrib Syst 32(1):174–183

    Article  Google Scholar 

  34. Budhiraja I, Tyagi S, Tanwar S, Kumar N, Rodrigues JJPC (2019) Tactile Internet for smart communities in 5G: an insight for NOMA-based solutions. IEEE Trans Ind Inform 15(5):3104–3112

    Article  Google Scholar 

  35. Wist K, Helsem M, Gligoroski D (2021) Vulnerability analysis of 2500 docker hub images. In: Advances in security networks and internet of things. Springer, pp 307–327

    Google Scholar 

  36. Raj RK, Anand V, Gibson D, Kaza S, Phillips A (2019) Cybersecurity program accreditation: benefits and challenges. In: Proceedings of the 50th ACM technical symposium on computer science education, pp 173–174

    Google Scholar 

  37. Tanwar S, Parekh K, Evans R (2020) Blockchain-based electronic healthcare record system for healthcare 4.0 applications. J Inf Secur Appl 50

    Google Scholar 

  38. Zheng Z, Xie S, Dai H-N, Chen W, Chen X, Weng J et al (2020) An overview on smart contracts: challenges advances and platforms. Future Gener Comput Syst 105:475–491

    Article  Google Scholar 

  39. Alladi T, Chamola V, Naren (2021) HARCI: a two-way authentication protocol for three entity healthcare IoT networks. IEEE J Sel Areas Commun 39(2):361–369

    Google Scholar 

  40. Merabet F, Cherif A, Belkadi M, Blazy O, Conchon E, Sauveron D (2020) New efficient M2C and M2M mutual authentication protocols for IoT-based healthcare applications. Peer-to-Peer Netw Appl 13(2):439–474

    Article  Google Scholar 

  41. Masud M, Gaba GS, Choudhary K, Hossain MS, Alhamid MF, Muhammad G (2021) Lightweight and anonymity-preserving user authentication scheme for IoT-based healthcare. IEEE Internet Things J 1–1

    Google Scholar 

  42. Deebak D, Al-Turjman F (2021) Smart mutual authentication protocol for cloud based medical healthcare systems using internet of medical things. IEEE J Sel Areas Commun 39(2):346–360

    Google Scholar 

  43. Gao Y, Li X, Peng H, Fang B, Yu P (2020) HinCTI: a cyber threat intelligence modeling and identification system based on heterogeneous information network. IEEE Trans Knowl Data Eng

    Google Scholar 

  44. Zeadally S, Adi E, Baig Z, Khan IA (2020) Harnessing artificial intelligence capabilities to improve cybersecurity. IEEE Access 8:23817–23837. https://doi.org/10.1109/ACCESS.2020.2968045

    Article  Google Scholar 

  45. Salah K, Rehman MHU, Nizamuddin N, Al-Fuqaha A (2019) Blockchain for AI: review and open research challenges. IEEE Access 7:10127–10149. https://doi.org/10.1109/ACCESS.2018.2890507

    Article  Google Scholar 

  46. Srivastava T, Bhushan B, Bhatt S, Haque AKMB (2022) Integration of quantum computing and blockchain technology: a cryptographic perspective. In: Kumar R, Sharma R, Pattnaik PK (eds) Multimedia technologies in the internet of things environment, vol 3. Studies in big data, vol 108. Springer, Singapore. https://doi.org/10.1007/978-981-19-0924-5_12

  47. BlockchianInsight: Top Blockchain Technology Companies 2021 (2021). https://www.leewayhertz.com/blockchain-technology-companies-2021/. Accessed Feb 2021

  48. Hassani H, Huang X, Silva E (2018) Big-crypto: big data, blockchain, and cryptocurrency. Big Data Cogn Comput 2(4):34

    Article  Google Scholar 

  49. Sun CC, Joseph-Duran B, Maruejouls T, Cembrano G, Meseguer J, Puig V et al (2017) Real-time control-oriented quality modelling in combined urban drainage networks. IFAC 2017 world congress, pp 4002–4007

    Google Scholar 

  50. Rathi R, Sharma N, Manchanda C, Bhushan B, Grover M (2020) Security challenges & controls in cyber physical system. In: 2020 IEEE 9th international conference on communication systems and network technologies (CSNT). https://doi.org/10.1109/csnt48778.2020.9115778

  51. Zafar A, Wajid MA (2020) A mathematical model to analyze the role of uncertain and indeterminate factors in the spread of pandemics like COVID-19 using neutrosophy: a case study of India, vol 38. Infinite Study

    Google Scholar 

  52. Hosseinzadeh M, Sinopoli B, Kolmanovsky I, Baruah S (2022) ROTEC: robust to early termination command governor for systems with limited computing capacity. Syst Control Lett 161

    Google Scholar 

  53. Roy D, Hobbs C, Anderson JH, Caccamo M, Chakraborty S (2021) Timing debugging for cyber-physical systems. In: Proceedings of the 2021 design automation and test in Europe conference and exhibition, pp 1893–1898

    Google Scholar 

  54. Lavaei A, Soudjani S, Abate A, Zamani M (2021) Automated verification and synthesis of stochastic hybrid systems: a survey. arXiv preprint

    Google Scholar 

  55. Benveniste A, Caillaud B, Nickovic D, Passerone R, Raclet J-B, Reinkemeier P et al (2018) Contracts for system design. In: Foundations and trends® in electronic design automation, vol 12, no 2–3. Now Publishers, Inc, pp 124–400

    Google Scholar 

  56. Madaan G, Bhushan B, Kumar R (2020) Blockchain-based cyberthreat mitigation systems for smart vehicles and industrial automation. Stud Big Data Multimedia Technol Internet Things Environ. https://doi.org/10.1007/978-981-15-7965-3_2

    Article  Google Scholar 

  57. Cao R, Hao L, Gao Q, Deng J, Chen J (2020) Modeling and decision-making methods for a class of cyber-physical systems based on modified hybrid stochastic timed petri net. IEEE Syst J 14(4):4684–4693

    Article  Google Scholar 

  58. Hsieh FS (2021) A dynamic context-aware workflow management scheme for cyber-physical systems based on multi-agent system architecture. Appl Sci 11(2030)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Maharishi University of Information Technology, Noida, India

    Manpreet Kaur Aiden & Sonia Chhabra

  2. Galgotias University, Greater Noida, India

    Shweta Mayor Sabharwal

  3. Faculty of Engineering and Natural Sciences, Department of Computer Engineering, KT KTO Karatay University, Konya, Turkey

    Mustafa Al-Asadi

Authors
  1. Manpreet Kaur Aiden
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Shweta Mayor Sabharwal
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Sonia Chhabra
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Mustafa Al-Asadi
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Manpreet Kaur Aiden .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, School of Engineering and Technology, Sharda University, Greater Noida, India

    Bharat Bhushan

  2. School of Computing Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India

    Arun Kumar Sangaiah

  3. Intelligent Systems Laboratory (ISL), Department of Computer Science, Kennesaw State University, Marietta, GA, USA

    Tu N. Nguyen

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Aiden, M.K., Sabharwal, S.M., Chhabra, S., Al-Asadi, M. (2023). AI and Blockchain for Cyber Security in Cyber-Physical System. In: Bhushan, B., Sangaiah, A.K., Nguyen, T.N. (eds) AI Models for Blockchain-Based Intelligent Networks in IoT Systems. Engineering Cyber-Physical Systems and Critical Infrastructures, vol 6. Springer, Cham. https://doi.org/10.1007/978-3-031-31952-5_10

Download citation

Publish with us

Policies and ethics

Search

Navigation