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Securing Wireless Sensor Networks, Types of Attacks, and Detection/Prevention Techniques, An Educational Perspective Tuka Kareem Jebur
ASEAN Journal of Science and Engineering Education Vol 4, No 1 (2024): (ONLINE FIRST) AJSEE: March 2024
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/ajsee.v4i1.57431

Abstract

Wireless sensor networks (WSNs) are gaining popularity in a variety of applications, including smart homes, industrial facilities, and environmental monitoring systems. However, using WSNs exposes them to a variety of attacks that might have major effects, such as data loss, privacy breaches, and safety issues. As a result, understanding the sorts of threats and detection/prevention strategies in WSNs is critical to ensuring their security, especially from an educational perspective. We present an overview of the sorts of attacks that can occur in WSNs, including denial of service attacks, spoofing attacks, jamming attacks, physical assaults, and node compromise attacks. We also examine encryption, authentication and authorization procedures, intrusion detection systems, and physical security measures as methods for detecting and blocking attacks in WSNs. We examine the benefits and drawbacks of each strategy and give case studies to show their efficacy. Finally, we propose future research directions, such as the development of more effective intrusion detection systems and the enhancement of physical security measures. We can assure the security and reliability of WSNs in diverse applications by knowing the types of attacks and detection/prevention mechanisms.
Greening the Internet of Things: A Comprehensive Review of Sustainable IoT Solutions from An Educational Perspective Tuka Kareem Jebur
Indonesian Journal of Educational Research and Technology Vol 3, No 3 (2023): (ONLINE FIRST) IJERT: December 2023
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/ijert.v3i3.57428

Abstract

Green IoT, or the use of Internet of Things (IoT) technologies to promote sustainability and reduce environmental impact, has gained increasing attention in recent years. This paper provides a comprehensive review of the existing research on Green IoT, exploring different approaches to reduce the carbon footprint of IoT devices and networks, including energy-efficient hardware and software design, renewable energy sources, and IoT-based solutions for environmental monitoring and management. The paper discusses the benefits and challenges of using solar, wind, and other renewable energy sources in IoT applications, as well as the use of sensors, data analytics, and machine learning to optimize resource usage and monitor environmental conditions. The key findings of this paper indicate that Green IoT has the potential to play a significant role in addressing environmental challenges, such as climate change and resource depletion. However, there are still many challenges that need to be addressed, including the high cost of renewable energy sources and the complexity of managing large-scale IoT networks. Overall, this paper emphasizes the importance of Green IoT and the need for further research to develop more efficient and sustainable IoT solutions.