IoT Network Security Employing KVS Approach: Novel Approach to IoT Security with B-Cell Inspired Models Implemented using Artificial Intelligence

Year : 2025 | Volume : 15 | Issue : 03 | Page : 36 46
    By

    Nikat Rajak Mulla,

  • Kazi Kutubuddin Sayyad Liyakat,

  1. Student, Department of Electronics and Telecommunication Engineering, Brahmdevdada Mane Institute of Technology, Solapur, Maharashtra, India
  2. Professor and Head, Department of Electronics and Telecommunication Engineering, Brahmdevdada Mane Institute of Technology, Solapur, Maharashtra, India

Abstract

The Internet of Things (IoT), which links billions of devices that gather, analyse, and send data, is growing quickly. Although there are many benefits to this interconnection, there are also serious security risks. Conventional security measures frequently struggle to keep up with the dynamic and diverse nature of IoT environments. Innovative security ideas are being investigated in response, and the B-Cell concept, also known as the Kutubuddin Vahida Sultana (KVS) approach for IoT security, is one promising strategy. B-cells are an essential part of the adaptive immune system in immunology. As they go throughout the body, they identify antigens, or foreign chemicals, and create antibodies that are specifically designed to counteract those dangers. Inspired by the human immune system, the B-Cell idea presents a fresh approach to protecting IoT networks and devices. The B-Cell concept, which is applied by artificial intelligence, attempts to provide IoT devices the capacity to learn, adapt, and defend against changing cyberattacks, much like B-cells in our bodies learn to identify and eliminate dangers. With billions of gadgets linking our homes, communities, and industries, the Internet of Things is rapidly expanding. But this quick growth has revealed a serious weakness: security. The absence of strong security in IoT devices is a serious risk, as it may lead to everything from industrial control systems being taken over to smart refrigerators spying on us. This IoT nature has prompted academics to investigate non-traditional methods, such as taking cues from the amazing immune system, particularly the B-cell theory. We recommend checking the accuracy and response time of networks using the Kutubuddin Vahida Sultana(KVS) Approach. The response of proposed KVS Approach has better Precision as compared to present approaches.

Keywords: IoT security, KVS Approach, B-Cell, Cybersecurity, Cyberattacks, IoT threats, Artificial Intelligence,

[This article belongs to Journal of VLSI Design Tools and Technology ]

How to cite this article:
Nikat Rajak Mulla, Kazi Kutubuddin Sayyad Liyakat. IoT Network Security Employing KVS Approach: Novel Approach to IoT Security with B-Cell Inspired Models Implemented using Artificial Intelligence. Journal of VLSI Design Tools and Technology. 2025; 15(03):36-46.
How to cite this URL:
Nikat Rajak Mulla, Kazi Kutubuddin Sayyad Liyakat. IoT Network Security Employing KVS Approach: Novel Approach to IoT Security with B-Cell Inspired Models Implemented using Artificial Intelligence. Journal of VLSI Design Tools and Technology. 2025; 15(03):36-46. Available from: https://journals.stmjournals.com/jovdtt/article=2025/view=234189


References

  1.  Kazi KS. KK approach to increase resilience in Internet of Things: A T-cell security concept. In: Almaiah M, Salloum S, editors. Cryptography, Biometrics, and Anonymity in Cybersecurity Management. IGI Global; 2025. p. 199–228. https://doi.org/10.4018/979-8- 3693-8014-7.ch010
  2. Sayyad. KK approach to increase resilience in Internet of Things: A T-cell security concept. In: Darwish D, Charan K, editors. Analyzing Privacy and Security Difficulties in Social Media: New Challenges and Solutions. IGI Global; 2025. p. 87–120. https://doi.org/10.4018/979-8- 3693-9491-5.ch005
  3. Khadake S, Kawade S, Moholkar S, Pawar M. A review of 6G technologies and its advantages over 5G technology. In: Pawar PM, et al., editors. Techno-Societal 2022. ICATSA 2022. Cham: Springer; 2024. p. 107. https://doi.org/10.1007/978-3-031-34644-6_107
  4. Patil VJ, Khadake SB, Tamboli DA, Mallad HM, Takpere SM, Sawant VA. Review of AI in power electronics and drive systems. In: 2024 3rd Int Conf on Power Electronics and IoT Applications in Renewable Energy and Its Control (PARC). Mathura, India; 2024. p. 94–99. doi:10.1109/PARC59193.2024.10486488
  5. Dudgikar AB, Ingalgi AA, Jamadar AG, Swami OR, Khadake SB, Moholkar SV. Intelligent battery swapping system for electric vehicles with charging stations locator on IoT and cloud platform. Int J Adv Res Sci Commun Technol. 2023;3(1):204–8. doi:10.48175/IJARSCT- 7867
  6. Khadake SB, Patil VJ. Prototype design & development of solar-based electric vehicle. In: 2023 3rd Int Conf on Smart Generation Computing, Communication and Networking (SMART GENCON). Bangalore, India; 2023. p. 1–7. doi:10.1109/SMARTGENCON60755.2023.10442455
  7. Patil VJ, Khadake SB, Tamboli DA, Mallad HM, Takpere SM, Sawant VA. A comprehensive analysis of artificial intelligence integration in electrical engineering. In: 2024 5th Int Conf on Mobile Computing and Sustainable Informatics (ICMCSI). Lalitpur, Nepal; 2024. p. 484–91. doi:10.1109/ICMCSI61536.2024.00076
  8. Khadake SB, Dolli SP, Rathod KS, Waghmare OP, Deshpande AV. An overview of intelligent traffic control system using PLC and use of current data of vehicle travels. JournalNX. 2021 Jan;1–4.
  9. Magar SS, Sugandhi AS, Pawar SH, Khadake SB, Mallad HM. Harnessing wind vibration: a novel approach towards electric energy generation – review. Int J Adv Res Sci Commun Technol. 2024;4(2):73–82. doi:10.48175/IJARSCT-19811
  10. Khadake SB, Padavale PV, Dhere PM, Lingade BM. Automatic hand dispenser and temperature scanner for COVID-19 prevention. Int J Adv Res Sci Commun Technol. 2023;3(2):362–7. doi:10.48175/IJARSCT-11364
  11. Landage SS, Chavan SR, Kokate PA, Lohar SP, Pawar MK, Khadake SB. Solar outdoor air purifier with air quality monitoring system. In: Synergies of Innovation: Proc NCSTEM 2023. 2024. p. 260–6.
  12. Khadake SB. Detecting salient objects of natural scene in a video using spatio-temporal saliency & colour map. JournalNX. 2021;2(8):30–5.
  13. Khadake SB. Detecting salient objects in a video using spatio-temporal saliency & colour map. Int J Innov Eng Res Technol. 2021;3(8):1–9.
  14. Bhosale PS, Kokare PD, Potdar DS, Waghmode SD, Sawant VA, Khadake SB. DTMF-based irrigation water pump control system. In: Synergies of Innovation: Proc NCSTEM 2023. 2024. p. 267–73.
  15. Korake P, Murade H, Doke R, Narale V, Khadake SB, Chavan AS. Automatic load sharing of distribution transformer using PLC. In: Synergies of Innovation: Proc NCSTEM 2023. 2024. p. 253–9.
  16. Khadake SB, Kashid PJ, Kawade AM, Khedekar SV, Mallad HM. Electric vehicle technology battery management – review. Int J Adv Res Sci Commun Technol. 2023;3(2):319–25. doi:10.48175/IJARSCT-13048
  17. Khadake SB, Chounde A, Gopnarayan BB, Patil KB, Kamble SS. Human health care system: a new approach towards life. In: 15th Int Conf on Advances in Computing, Control, and Telecommunication Technologies (ACT). 2024;2:5487–94.
  18. Khadake SB, Patil VJ, Mallad HM, Gopnarayan BB, Patil KB. Maximize farming productivity through Agriculture 4.0 based intelligence with use of Agri Tech Sense advanced crop monitoring system. In: ACT 2024. 2024;2:5127–34.
  19. Khedekar SV, Kawade AM, Vyavahare SS, Kashid PJ, Chounde AB, Mallad HM. Solar based electric vehicle charging system – review. Int J Adv Res Sci Commun Technol. 2024;4(2):42–57. doi:10.48175/IJARSCT-22705
  20. Randive AB, Gaikwad SK, Khadake SB, Mallad HM. Biodiesel: a renewable source of fuel. Int J Adv Res Sci Commun Technol. 2024;4(3):225–40. doi:10.48175/IJARSCT-22836
  21. Veena C, Sridevi M, Liyakat KKS, Saha B, Reddy SR, Shirisha N. HEECCNB: An efficient IoT-cloud architecture for secure patient data transmission and accurate disease prediction in healthcare systems. In: 2023 7th Int Conf on Image Information Processing (ICIIP). 2023. p. 407–10. doi:10.1109/ICIIP61524.2023.10537627
  22. Kazi S. Computer-aided diagnosis in ophthalmology: a technical review of deep learning applications. In: Garcia M, de Almeida R, editors. Transformative Approaches to Patient Literacy and Healthcare Innovation. IGI Global; 2024. p. 112–35. https://doi.org/10.4018/979-8-3693-3661-8.ch006
  23. Liyakat KKS. AI-driven-IoT (AIIoT)-based decision making in kidney diseases patient healthcare monitoring: KSK approach. In: Polat LÖ, Polat O, editors. AI-Driven Innovation in Healthcare Data Analytics. IGI Global; 2025. p. 277–306. https://doi.org/10.4018/979-8- 3693-7277-7.ch009
  24. Pradeepa M, et al. Student health detection using a machine learning approach and IoT. In: 2022 IEEE MysuruCon. 2022.https://ieeexplore.ieee.org/document/9972445
  25. Mahant MA. Machine learning-driven Internet of Things (MLIoT)-based healthcare monitoring system. In: Wickramasinghe N, editor. Digitalization and the Transformation of the Healthcare Sector. IGI Global; 2025. p. 205–36. https://doi.org/10.4018/979-8-3693- 9641-4.ch007
  26. Mulani AO, Liyakat KKS, Warade NS, et al. ML-powered Internet of Medical Things structure for heart disease prediction. J Pharmacol Pharmacother. 2025;0(0). doi:10.1177/0976500X241306184
  27. Odnala S, Shanthy R, Bharathi B, Pandey C, Rachapalli A, Liyakat KKS. Artificial intelligence and cloud-enabled e-vehicle design with wireless sensor integration. SSRN Electron J. 2025. doi:10.2139/ssrn.5107242
  28. Neeraja P, Kumar RG, Kumar MS, Liyakat KKS, Vani MS. DL-based somnolence detection for improved driver safety and alertness monitoring. In: 2024 IEEE IC2PCT. 2024. p. 589–94. doi:10.1109/IC2PCT60090.2024.10486714
  29. Nerkar PM, Dhaware BU. Predictive data analytics framework based on heart healthcare system using machine learning. J Adv Zool. 2023;44(Spl-2):3673–86.
  30. Nerkar P, Sultanabanu. IoT-based skin health monitoring system. Int J Biol Pharm Allied Sci. 2024;13(11):5937–50. doi:10.31032/IJBPAS/2024/13.11.8488
  31. Ravale P. FPGA-based finger vein recognition system for personal verification. Int J Eng Res Gen Sci. 2015;3(4).
  32. Ravale PM, et al. Retinal image decomposition using variational mode decomposition. Int Res J Eng Technol. 2018;5(6).
  33. SilpaRaj M, Kumar RS, Jayakumar K, Gopila M, Kumar S. Scalable Internet of Things enabled intelligent solutions for proactive energy engagement in smart grids. In: Kannadhasan S, et al., editors. Proc ICSICE 2024. Atlantis Press; 2025. https://doi.org/10.2991/978-94-6463-718-2_85

Regular Issue Subscription Review Article
Volume 15
Issue 03
Received 27/05/2025
Accepted 05/08/2025
Published 13/12/2025
Publication Time 200 Days


Login


My IP

PlumX Metrics