The increasing integration of IoT-based sensor and ad hoc networks in
diverse applications, such as healthcare, smart cities, and industrial
automation, has heightened concerns about data security and privacy.
Traditional cryptographic techniques often impose excessive
computational overhead, making them unsuitable for resource-
constrained IoT environments. Addressing this challenge, a
lightweight and secure cryptographic framework is proposed,
incorporating multi-factor authentication, efficient key exchange, and
hybrid encryption mechanisms. The authentication process begins with
a biometric-based multi-factor verification system, utilizing user
biometrics, username, and password to establish secure user access.
Following user authentication, an optimized lightweight key exchange
mechanism ensures mutual authentication between IoT devices and the
cloud server, enhancing communication security. Encrypted sensor
data are then securely transmitted to the cloud using a hybrid
encryption scheme that integrates elliptic curve cryptography (ECC)
with a genetic algorithm, optimizing encryption efficiency while
maintaining robust security. The proposed framework is designed to
resist common cyber threats such as replay attacks, man-in-the-middle
attacks, and unauthorized access. Experimental results demonstrate a
significant reduction in computational and communication overhead
compared to conventional cryptographic approaches. The security
analysis validates the framework's resilience, ensuring confidentiality,
integrity, and authentication in IoT-based sensor networks. The
combination of biometric authentication, lightweight cryptographic
mechanisms, and an optimized hybrid encryption strategy provides an
efficient and scalable security solution for IoT and ad hoc network
environments.
Pankaj Rangaree1, M. Joe Marshell2
Vaagdevi College of Engineering, India1, SRM Valliammai Engineering College, India2
Lightweight Cryptography, IoT Security, Biometric Authentication, Elliptic Curve Cryptography, Hybrid Encryption
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| Published By :
ICTACT
Published In :
ICTACT Journal on Communication Technology
( Volume: 16 , Issue: 1 , Pages: 3425 - 3431 )
Date of Publication :
March 2025
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