RESEARCH OUTPUT
Publications
38 publications and patents in optimization, machine learning, cloud computing, IoT and intelligent systems.
7 results · Clear filters
2024
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A Review of Lightweight Security and Privacy for Resource-Constrained IoT Devices
Computers, Materials and Continua, vol. 78(1), pp. 31–63, 2024
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A comprehensive review on detection and classification of dementia using neuroimaging and machine learning
Multimedia Tools and Applications, vol. 83(17), pp. 52365–52403, 2024
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Optimized transfer learning approach for leaf disease classification in smart agriculture
Multimedia Tools and Applications, vol. 83(20), pp. 58103–58123, 2024
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Performance enhancement of kernelized SVM with deep learning features for tea leaf disease prediction
Multimedia Tools and Applications, vol. 83(13), pp. 39117–39134, 2024
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Real-Time Application Layer Protocols to support lightweight mechanism in Internet of Things for e-Healthcare systems
5th International Conference on Recent Trends in Computer Science and Technology, ICRTCST 2024 - Proceedings, pp. 676–694, 2024
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SHC: 8-bit Compact and Efficient S-Box Structure for Lightweight Cryptography
IEEE Access, vol. 12, pp. 39430–39449, 2024
DOI Link BibTeX Cited by 39Abstract
The AES (Advance Encryption Standard) has made the development of new block ciphers unnecessary; it is now the de facto standard for most uses of block ciphers. However, the AES is still not well-suited for very limited contexts like RFID (Radio-Frequency Identification) tags and WSN(Wireless Sensor Networks), despite recent implementation advancements. In this study, we present SHC (Simple Hybrid Cipher), a new block cipher that uses a 64-bit block length and a 128-bit key length. It offers a hardware implementation that efficiently uses limited resources, making it ideal for use as a sensor in a WSN or an RFID tag. The core function of SHC depends on S-Box-based, composite field arithmetic technology, as it consumes relatively low cost on hardware implementation while still providing sufficient security as a solid encryption algorithm. The hardware implementation of SHC-64 requires 949 LUTs; it generates a maximum operating frequency of 515.995 MHz on the Xilinx-powered Artix-7 Field Programmable Gate Array (FPGA) development board. At the same time, the National Institute of Standards and Technology (NIST) recommended standard algorithm AES consumes 3645 LUTs and generates a maximum operating frequency of 277.369 MHz. The SHC-64 cipher also shows resistance against known cryptanalytics attacks.
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Self-adaptive search optimization-based vehicle path prediction and traffic light controller in vehicular ad hoc network
International Journal of Communication Systems, vol. 37(1), 2024
DOI Link BibTeX Cited by 3Abstract
Summary In recent days, VANET is considered as the main hopeful equipment in the system of transportation since traffic congestion arises regularly and thus occurred road accidents very easily. Besides, the network traffic is increasing due to the huge quantity of information generated in region of urban. Therefore, one of the primary challenges faced by Intelligent Transportation System (ITS) is ensuring the accurate transmission of information in both vehicle‐to‐vehicle (V2V) and vehicle‐to‐road (V2R) sensing unit communications. So, here, an adaptive routing controller (ARC) is utilized to improve the data transmission between vehicle and road sensing unit (RSU) and to minimize the traffic density in VANET, and the self‐adaptive search optimization is developed in VANET clustering to prioritize vehicles in the lane, in which the multi‐objective function is intended depending on the energy of the node, acceleration, jitter, priority, velocity, and trust factors. The traffic light control is done to facilitate the effective communication in the network. Thus, the proposed technique is calculated in terms of throughput, jitter, quadratic mean of acceleration (QMA), and spatially distributed travel time (SDTT), which acquired the values of 0.53 s, 36.07 kmph, 3.472 s, and 43.572%, respectively, while using 50 vehicles at 50 s.