Analysis of the Security of Internet of Multimedia Things in Wireless Environment

Authors

  • Nabeel Mahdy Haddad College of Education, Misan University, Iraq
  • Mustafa sabah Mustafa Department of Computer Science, Dijlah University College, Baghdad, 10021, Iraq
  • Hayder Sabah Salih Department of Private Education in the Iraqi Ministry of Higher Education and Scientific Research, Baghdad, 10024, Iraq
  • Mustafa Musa Jaber 4) Department of Computer Science, Al-turath University College, Baghdad, 10021, Iraq 5) Department of Medical Instruments Engineering Techniques, Al-farahidi University, Baghdad, Iraq
  • Mohammed Hasan Ali Computer Techniques Engineering Department, Faculty of Information Technology, Imam Ja’afar Al-Sadiq University, Najaf 10023, Iraq

DOI:

https://doi.org/10.13052/jcsm2245-1439.1316

Keywords:

Wireless environment, multimedia applications, internet of multimedia things, VANET, chaotic convolution, sampling

Abstract

The Internet of Things (IoT) and real-time flexibility improve people’s lives, and IoT applications rely heavily on multimedia sensors and devices. An interconnected network of IoT multimedia devices has made the Internet of Medical Things (IoMT). It creates massive data distinct from what the Internet of Things (IoT) produced. Smart traffic monitoring and smart hospitals are only a few examples of real-time deployment applications. IoMT data and decision-making must be made quickly since it directly impacts human life. The security heterogeneity of optimization issues is a significant challenge for enabling multimedia applications on the IoT. The IoMT has difficulty achieving low-cost data collecting while maintaining data security. An Internet of Multimedia Things in a wireless environment (IoMT-WE) system decreases the bandwidth and privacy risk caused by the revocation list, ensures the integrity of batch verification information, and corresponds with Vehicular ad hoc network (VANET) security performance. The proposed method uses random subsampling and chaotic convolution to collect numerous images. The sampling method is safe since the measurement matrix is controlled by chaos. As part of the IoMT architecture, wireless multimedia sensor nodes can be more easily deployed over the long term for real-time multimedia. The Wireless Multimedia Sensor Network (WMSN) comprises nodes that can capture both multimedia and non-multimedia data. The ioMT-WE system has been tested and found to be secure and effective.

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Author Biographies

Nabeel Mahdy Haddad, College of Education, Misan University, Iraq

Nabeel Mahdy Haddad is a lecturer at Misan University, Iraq. He completed his PhD at the University of Southern Queensland, Australia, his interest is Machine Learning.

Mustafa sabah Mustafa, Department of Computer Science, Dijlah University College, Baghdad, 10021, Iraq

Mustafa sabah Mustafa is a lecturer at Dijlah University College, His interest area is Deep Learning.

Hayder Sabah Salih, Department of Private Education in the Iraqi Ministry of Higher Education and Scientific Research, Baghdad, 10024, Iraq

Hayder Sabah Salih received his B.Sc Degree in computer engineering from Baghdad university Iraq, Baghdad in 2007, an M.Sc Degree in computer engineering from Moscow Automotive and road construction state technical university (MADI) in 2013, and a Ph.D. Degree in computer engineering/information technology and systems from Tambov State Technical University in 2020, currently he is holding the position of the head of the Scientific Affairs section in the Department of Private Education in Mohesr, Iraq.

Mustafa Musa Jaber, 4) Department of Computer Science, Al-turath University College, Baghdad, 10021, Iraq 5) Department of Medical Instruments Engineering Techniques, Al-farahidi University, Baghdad, Iraq

Mustafa Musa Jaber is a PhD holder from the technical university of Malaysia and he received a postdoctoral from University Tun hussein Onn Malaysia, his interest in telemedicine, machine learning, and the human factor. Currently working as head of the department of information technology, Dijlah University College, Baghdad, Iraq.

Mohammed Hasan Ali, Computer Techniques Engineering Department, Faculty of Information Technology, Imam Ja’afar Al-Sadiq University, Najaf 10023, Iraq

Mohammed Hasan Ali is a Senior Researcher in the Artificial Intelligence & Machine Learning Lab Imam Ja’afar Al-sadiq University. He received his PhD from Faculty of Computing System and Software Engineering Universiti Pahang Malaysia in 2016 and 2019 respectively. Currently working as head of Research Center, Imam Ja’afar Al-sadiq University, Iraq.

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Published

2023-12-11

How to Cite

1.
Haddad NM, Mustafa M sabah, Salih HS, Jaber MM, Ali MH. Analysis of the Security of Internet of Multimedia Things in Wireless Environment. JCSANDM [Internet]. 2023 Dec. 11 [cited 2024 Jul. 19];13(01):161-92. Available from: https://journals.riverpublishers.com/index.php/JCSANDM/article/view/19147

Issue

2024: Vol 13 Iss 1

Section

Futuristic AI Embedded Solutions for Cyber Security

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