International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 12 Issue: 06 | Jun 2025
p-ISSN: 2395-0072
www.irjet.net
Cybersecurity Framework for IoT-Enabled Healthcare Applications Niyati Agarwal1, Deepshikha2 1Master of Technology, Computer Science and Engineering, Lucknow Institute of Technology, Lucknow, India 2Assistant Professor, Department of Computer Science and Engineering, Lucknow Institute of Technology,
Lucknow, India ---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - This work introduces a scheme for IoT-enabled healthcare that uses timestamp-based secret key generation (T-SKG) with Data Encryption Standard (DES) algorithms. The purpose is to prevent trouble related to shared keys or unapproved access, as the company needs to operate at all times. Researchers combined experiments such as brute force, guessing and birthday attack methods, with research on the development of the framework. Highlights of the key results include strong cryptography, quick responses and fewer than 0.03% errors during the key regeneration process. Despite simulated attacks, the framework was able to withstand them with hardly any success through guessing. The benefits of these advancements can be seen in healthcare, found that IoT systems have a low success rate compared to traditional technology due to security weaknesses. Eliminating difficult key exchange processes and optimizing encryption for use in IoT healthcare applications ensures this work’s applicability.
Figure-1:Structure of a Healthcare System Powered by the Internet of Medical Things (IoMT)
1.2.Problem Statement Despite the growing reliance on IoT in healthcare, existing cybersecurity frameworks (e.g., NIST, ISO/IEC 27001) fail to address the unique challenges of healthcare IoT ecosystems. Key gaps include: Table-1: Challenges.
Key Words: Cybersecurity Framework, IoT-enabled Healthcare, Timestamp-Based Secret Key Generation (TSKG), Data Encryption Standard (DES), Brute Force Attack Resistance, Real-Time Threat Detection.
1.INTRODUCTION 1.1.Background The use of IoT technologies in healthcare has made it possible to monitor patients far from the hospital, use wearable devices and manage hospitals with smart technology. As a result, care becomes more efficient, treatments are less expensive and outcomes for patients get better due to instant data collection. Thanks to IoT, devices such as smartwatches and equipment used in medicine continuously observe chronic conditions, making sure treatment is delivered promptly. Even so, there has been a rise in security-related challenges because IoT is becoming so widespread in healthcare. There are many threats in healthcare, including hacking patient data, hijacking medical equipment and deploying ransomware, all of which may risk patients’ lives and interfere with vital services. Due to their strict limitations, heterogeneous nature and insecure communication, IoT devices are easily attacked.
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Impact Factor value: 8.315
Challenges
Implications
Heterogeneous IoT Devices
Inconsistent security protocols across diverse devices (wearables, implants).
Resource Constraints
Limited processing power restricts implementation of robust encryption.
Real-Time Threats
Existing frameworks lack mechanisms for dynamic threat detection and response.
Regulatory Compliance
HIPAA and GDPR guidelines are not fully integrated into IoT-specific solutions.
These limitations leave healthcare organizations vulnerable to cyberattacks, necessitating a tailored framework that balances security, compliance, and realtime performance.
1.3.Objectives This study aims to bridge these gaps through three primary objectives: 1. Eliminate Key-Sharing Vulnerabilities: Propose a Timestamp-Based Secret Key Generation (T-SKG) mechanism to dynamically generate keys without direct transmission.
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