Sandeep Dommari1 & Prof.(Dr.) Arpit Jain2
1Adhiyamaan College of Engineering
Dr.M.G.R.Nagar, Hosur, Tamil Nadu 635109, India
sandeep.dommari@gmail.com
2K L E F Deemed University,
Vaddeswaram, Andhra Pradesh 522302, India
Abstract
The increasing integration of Internet of Things (IoT) technologies into critical infrastructure systems has revolutionized various industries, making it easier to achieve better efficiency, automation, and real-time monitoring. But this large-scale deployment poses enormous security threats that undermine the reliability, safety, and integrity of critical infrastructure. The vulnerability of IoT devices to cyber threats and data breaches exposes industries like energy, healthcare, transportation, and finance to possible disruptions. Though IoT security research has made incredible strides, there are still areas of weakness in addressing the dynamic and complex nature of security demands of critical infrastructure. Current security frameworks struggle to provide end-to-end solutions that are tailored to the specific needs of such environments. There is an urgent need for strong, scalable, and adaptive security mechanisms that can address challenges like data privacy, device authentication, threat detection, and system resilience to advanced persistent threats (APTs). In addition, integration of legacy systems with IoT technologies makes deployment of uniform security standards even more challenging. This research aims to identify the current challenges in IoT security concerning critical infrastructure, review the weaknesses of current security protocols, and suggest future research directions. It will focus on advanced cryptographic methods, AI-based anomaly detection, and secure communication frameworks as effective solutions to risk mitigation and overall security posture of IoT-enabled critical systems. By resolving these challenges, this research aims to spur the development of a more secure and resilient infrastructure that safeguards societal functions and economic stability in the digital landscape.
Keywords
IoT security, critical infrastructure, cyberattacks, data privacy, device authentication, threat detection, advanced persistent threats, cryptographic techniques, AI-driven anomaly detection, secure communication, system resilience, cybersecurity protocols, digital infrastructure protection.
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