A State-of-the-Art Survey for IoT Security and Energy Management based on Hashing Algorithms

Main Article Content

Teba Mohammed Ghazi Sami, Subhi R. M. Zeebaree, Sarkar Hasan Ahmed


The Internet of Things (IoT) has developed as a disruptive technology with wide-ranging applications across several sectors, enabling the connecting of devices and the acquisition of substantial volumes of data. Nevertheless, the rapid expansion of networked gadgets has generated substantial apprehensions pertaining to security and energy administration. This survey paper offers a detailed examination of the present state of research and advancements in the field of Internet of Things (IoT) security and energy management. The work places special emphasis on the use of hashing algorithms in this context. The security of the Internet of Things (IoT) is a crucial element in safeguarding the confidentiality, integrity, and availability of data inside IoT environments. Hashing algorithms have gained prominence as a fundamental tool for enhancing IoT security. This survey reviews the state of the art in cryptographic hashing techniques and their application in securing IoT devices, data, and communication. Furthermore, the efficient management of energy resources is essential to prolong the operational lifespan of IoT devices and reduce their environmental impact. Hashing algorithms are also instrumental in optimizing energy consumption through data compression, encryption, and authentication. This survey explores the latest advancements in energy-efficient IoT systems and how hashing algorithms contribute to energy management strategies. Through a comprehensive analysis of recent research findings and technological advancements, this survey identifies key challenges and open research questions in the fields of IoT security and energy management based on hashing algorithms. It provides valuable insights for researchers, practitioners, and policymakers to further advance the state of the art in these critical IoT domains.

Article Details

How to Cite
Teba Mohammed Ghazi Sami, et al. (2023). A State-of-the-Art Survey for IoT Security and Energy Management based on Hashing Algorithms. International Journal on Recent and Innovation Trends in Computing and Communication, 11(10), 257–267. https://doi.org/10.17762/ijritcc.v11i10.8488
Author Biography

Teba Mohammed Ghazi Sami, Subhi R. M. Zeebaree, Sarkar Hasan Ahmed

Teba Mohammed Ghazi Sami1, Subhi R. M. Zeebaree2, Sarkar Hasan Ahmed3

1Computer Science Department, Faculty of Science, University of Zakho, Duhok, Iraq; teba.sami@uoz.edu.krd

2Energy Eng. Dept., Technical College of Engineering, Duhok Polytechnic University, Duhok, Iraq; subhi.rafeeq@dpu.edu.krd

3Network Department, Sulaimani Polytechnic University, Sulaimani, Iraq; sarkar.ahmed@spu.edu.iq


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