A systematic review on recent trends, challenges, privacy and security issues of underwater internet of things
- Authors
- Mary, D.R.K.; Ko, E.; Kim, S.-G.; Yum, S.-H.; Shin, S.-Y.; Park, S.-H.
- Issue Date
- 12월-2021
- Publisher
- MDPI
- Keywords
- Challenges; Security and privacy; Trends; Underwater Internet of Things (UIoT)
- Citation
- Sensors, v.21, no.24
- Journal Title
- Sensors
- Volume
- 21
- Number
- 24
- URI
- https://www.kriso.re.kr/sciwatch/handle/2021.sw.kriso/9576
- DOI
- 10.3390/s21248262
- ISSN
- 1424-8220
1424-3210
- Abstract
- Owing to the hasty growth of communication technologies in the Underwater Internet of Things (UIoT), many researchers and industries focus on enhancing the existing technologies of UIoT systems for developing numerous applications such as oceanography, diver networks monitoring, deep-sea exploration and early warning systems. In a constrained UIoT environment, communication media such as acoustic, infrared (IR), visible light, radiofrequency (RF) and magnet induction (MI) are generally used to transmit information via digitally linked underwater devices. However, each medium has its technical limitations: for example, the acoustic medium has challenges such as narrowchannel bandwidth, low data rate, high cost, etc., and optical medium has challenges such as high absorption, scattering, long-distance data transmission, etc. Moreover, the malicious node can steal the underwater data by employing blackhole attacks, routing attacks, Sybil attacks, etc. Furthermore, due to heavyweight, the existing privacy and security mechanism of the terrestrial internet of things (IoT) cannot be applied directly to UIoT environment. Hence, this paper aims to provide a systematic review of recent trends, applications, communication technologies, challenges, security threats and privacy issues of UIoT system. Additionally, this paper highlights the methods of preventing the technical challenges and security attacks of the UIoT environment. Finally, this systematic review contributes much to the profit of researchers to analyze and improve the performance of services in UIoT applications. ? 2021 by the authors. Licensee MDPI, Basel, Switzerland.
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