By: Heena T Shaikh and Dr. Kazi Kutubuddin Sayyad Liyakat
1 Asstant Professor, 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 .
Unmatched connectivity and convenience have been made possible by the growth of Internet of
Things (IoT) devices. However, there is a higher chance of security flaws as a result of this
increasing connectedness. The bootloader, the software that loads the operating system and
initializes the device, is one of the most important components for IoT device security. Malicious
actors may target the device since a hacked bootloader can result in a total takeover. Based on
the main findings and conclusions of study in this field, this article investigates the function of
VHDL (VHSIC Hardware Description Language) programming in developing reliable and
secure bootloaders for Internet of Things devices. Conventional software-based bootloaders,
which are frequently implemented in assembly language or C, are vulnerable to a variety of
assaults, such as reverse engineering, code injection, and buffer overflows. These flaws can be
used to circumvent security measures, install malicious software, and eventually compromise the
device as a whole. An alternate strategy makes use of hardware’s built-in security benefits to
combat these threats. Using a Hardware Description Language such as VHDL to implement
secure bootloaders in hardware provides an essential “root of trust.” Because the boot process is
hardware-anchored, it is far more difficult for hackers to interfere with the device’s initial
starting. The goal of this study is to create safe bootloaders for Internet of Things devices by
utilizing VHDL programming. This strategy seeks to create a hardware root of trust in light of
software-based bootloaders’ weakness. It does this by integrating essential features like
hardware-enforced authentication, secure key storage, and tamper resistance directly into
hardware. In order to create a more resilient and secure IoT environment, the study investigates
the design concepts, difficulties, and possible advantages of VHDL-based secure bootloaders.
VHDL, IoT, Security, Bootloaders, Malicious .
![]()
Citation:
Refrences:
[1]. Jadhav M, Nerkar PM. FPGA-Based finger vein recognition system for personal
verification. Int. J. Eng. Res. Gen. Sci. 2015;3:382-8.
[2]. Nerkar PM, Shinde SS, Liyakat KK, Desai S, Kazi SS. Monitoring fresh fruit and
food using Iot and machine learning to improve food safety and quality. Tuijin
Jishu/Journal of Propulsion Technology. 2023;44(3):2927-31.
[3]. Khadake S, Kawade S, Moholkar S, Pawar M. A review of 6G technologies and its
advantages over 5G technology. InTechno-Societal 2016, International Conference on
Advanced Technologies for Societal Applications 2022 Dec 9 (pp. 1043-1051).
Cham: Springer International Publishing.
[4]. Patil VJ, Khadake SB, Tamboli DA, Mallad HM, Takpere SM, Sawant VA. Review
of AI in power electronics and drive systems. In2024 3rd International conference on
Power Electronics and IoT Applications in Renewable Energy and its Control
(PARC) 2024 Feb 23 (pp. 94-99). IEEE.
[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. International Journal of Advanced Research in Science,
Communication and Technology. 2023 Jan;3(1):204-8.
[6]. Khadake SB, Patil VJ. Prototype design & development of solar based electric
vehicle. In2023 3rd International Conference on Smart Generation Computing,
Communication and Networking (SMART GENCON) 2023 Dec 29 (pp. 1-7). IEEE.
[7]. Patil VJ, Khadake SB, Tamboli DA, Mallad HM, Takpere SM, Sawant VA. A
comprehensive analysis of artificial intelligence integration in electrical engineering.
In2024 5th International Conference on Mobile Computing and Sustainable
Informatics (ICMCSI) 2024 Jan 18 (pp. 484-491). IEEE.
[8]. Khadake SB, Dolli SP, Rathod KS, Waghmare MO, Deshpande MA. An overview of
intelligent traffic control system using PLC and use of current data of vehicle travels.
JournalNX-A Multidisciplinary Peer Reviewed Journal. 2016 Feb 12.
[9]. Magar SS, Sugandhi AS, Pawar SH, Khadake SB, Mallad HM. Harnessing Wind
Vibration, a Novel Approach towards Electric Energy Generation-Review. IJARSCT.
2024 Oct;4(2):73-82.
[10]. Khadake SB, Padavale PV, Dhere PM, Lingade BM. Automatic hand dispenser
and temperature scanner for Covid-19 prevention. International Journal of Advanced
Research in Science, Communication and Technology. 2023;3(2):362-7.
[11]. Landage SS, Chavan SR, Kokate PA, Lohar SP, Pawar MK, Khadake SB. Solar
outdoor air purifier with air quality monitoring system. Synergies Of Innovation:
Proceedings Of Ncstem. 2024 Sep;2023:260-6.
[12]. Khadake SB. Detecting salient objects of natural scene in a video’s using spatio-
temporal saliency & colour map. International Journal of Research Publications in
Engineering and Technology. 2016;2(8):30-5.
[13]. Magar SS, Sugandhi AS, Pawar SH, Khadake SB, Mallad HM. Harnessing Wind
Vibration, a Novel Approach towards Electric Energy Generation-Review. IJARSCT.
2024 Oct;4(2):73-82.
[14]. Bhosale PS, Kokare PD, Potdar DS, Waghmode SD, Sawant VA, Khadake SB.
DTMF Based Irrigation Water Pump Control System. Synergies Of Innovation:
Proceedings Of NCSTEM. 2023:267-73.
[15]. Korake P, Murade H, Doke R, Narale V, Khadake SB, Chavan AS. Automatic
Load Sharing of Distribution Transformer using PLC. Synergies Of Innovation:
Proceedings Of NCSTEM. 2024 Sep:253-9.
[16]. Khadake SB, Kashid PJ, Kawade AM, Khedekar SV, Mallad HM. Electric
vehicle technology battery management–review. International Journal of Advanced
Research in Science Communication and Technology. 2023 Sep;3(2):319-25.
[17]. Chounde A, Gopnarayan BB, Patil KB, Kamble SS. Human Health Care System:
A New Approach towards Life. Grenze International Journal of Engineering &
Technology (GIJET). 2024 Jun 15;10.
[18]. Patil VJ, Mallad HM, Gopnarayan BB, Pati KB. Maximize Farming Productivity
through Agriculture 4.0 based Intelligence, with use of Agri Tech Sense Advanced
Crop Monitoring System. Grenze International Journal of Engineering & Technology
(GIJET). 2024 Jun 15;10.
[19]. Khadake SB, Khedekar SV, Kawade AM, Vyavahare SS, Kashid PJ, Chounde
Amol B, Mallad HM. Solar Based Electric Vehicle Charging System. power. 2024
Dec;4(2).
[20]. Randive AB, Gaikwad SK, Khadake SB, HM M. Biodiesel: a renewable source of
fuel. IJARSCT. 2024 Dec;3:225-40.
[21]. Chavare SM, Nanaware PP, Wagh SS, Jadhav AT, Yogesh Y, Khadake SB. Smart
Plant Monitoring and Automated Irrigation System Using IOT.
[22]. Kazi KS. AI-Powered IoT (AI IoT) for Decision-Making in Smart Agriculture:
KSK Approach for Smart Agriculture. InEnhancing Automated Decision-Making
through AI 2025 (pp. 67-96). IGI Global Scientific Publishing.
[23]. Kazi KS. KK Approach to Increase Resilience in Internet of Things: A T-Cell
Security Concept. InAnalyzing Privacy and Security Difficulties in Social Media:
New Challenges and Solutions 2025 (pp. 87-120). IGI Global Scientific Publishing.
[24]. Kazi KS. KK Approach for IoT Security: T-Cell Concept. InDeep Learning
Innovations for Securing Critical Infrastructures 2025 (pp. 367-388). IGI Global
Scientific Publishing.
[25]. Kazi KS. Healthcare Monitoring System Driven by Machine Learning and
Internet of Medical Things (MLIoMT). InConvergence of Internet of Medical Things
(IoMT) and Generative AI 2025 (pp. 385-416). IGI Global Scientific Publishing.
[26]. Kazi KS, Shinde SS, Nerkar PM, Kazi SS, Kazi VS. Machine learning for brand
protection: A review of a proactive defense mechanism. Avoiding Ad Fraud and
Supporting Brand Safety: Programmatic Advertising Solutions. 2025:175-220.
