ANFIS based Trust Management Model to Enhance Location Privacy in Underwater Wireless Sensor Networks

Arifeen, Murshedul; Islam, Al Amin; Rahman, Muhammad Tauhidur; Taher, Kazi Abu; Islam, Md. Maynul; Kaiser, M. Shamim

doi:10.1109/ecace.2019.8679165

Cited by 15 publications

(5 citation statements)

References 19 publications

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“…A large percentage of the primary studies are focused on addressing a particular threat or group of attacks, proposing new algorithms 17,37,46 and security models. 30,44,49 The other papers are focused on demonstration and classification of attacks and threats, such as DoS, localization and routing attacks, 26,27,32 as well as presenting security issues and key research challenges. 13,16,23 These studies are mostly evaluated using simulations.…”

Section: Discussionmentioning

confidence: 99%

“…Trust management: A trust cloud model for UWSNs is proposed by Jiang et al 42 for malicious node detection, trust value calculation and data transmission. Also, Arifeen et al 44 propose a trust management model for location privacy. It utilizes Adaptive Neuro Fuzzy Inference System to asses node trustworthiness and Markov Decision Process to select trusted nodes.…”

Section: Rq3: What Are the Methods Available To Overcome The Challengmentioning

confidence: 99%

“…The authors propose a secure and energy balanced protocol based on an adaptive algorithm to prolong network lifetime and improve security. Arifeen et al 44 discuss the importance of location privacy and propose a trust management model. Goyal et al 45 focus on secure authentication of Cluster Heads (CHs) and protected data aggregation.…”

Section: Attack Detection and Mitigationmentioning

confidence: 99%

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Security challenges of Internet of Underwater Things: A systematic literature review

Yisa

Dargahi

Belguith

et al. 2020

Trans Emerging Tel Tech

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Water covers approximately 71% of the earth surface, yet much of the underwater world remains unexplored due to technology limitations. Internet of Underwater Things (IoUT) is a network of underwater objects that enables monitoring subsea environment remotely. Underwater Wireless Sensor Network (UWSN) is the main enabling technology for IoUT. UWSNs are characterised by the limitations of the underlying acoustic communication medium, high energy consumption, lack of hardware resources to implement computationally intensive tasks and dynamic network topology due to node mobility. These characteristics render UNWSNs vulnerable to different attacks, such as Wormhole, Sybil, flooding, jamming, spoofing, and Denial of Service attacks. This article reviews peer-reviewed literature that addresses the security challenges and attacks on UWSNs as well as possible mitigative solutions. Findings show that the biggest contributing factors to security threats in UWSNs are the limited energy supply, the limited communication medium and the harsh underwater communication conditions. Researchers in this field agree that the security measures of terrestrial wireless sensor networks are not directly applicable to UWSNs due to the unique nature of the underwater environment where resource management becomes a significant challenge. This article also outlines future research directions on security and privacy challenges of IoUT and UWSN.

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Section: Discussionmentioning

confidence: 99%

Section: Rq3: What Are the Methods Available To Overcome The Challengmentioning

confidence: 99%

Section: Attack Detection and Mitigationmentioning

confidence: 99%

See 1 more Smart Citation

Security challenges of Internet of Underwater Things: A systematic literature review

Yisa

Dargahi

Belguith

et al. 2020

Trans Emerging Tel Tech

View full text Add to dashboard Cite

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“…3 [78,321,322] Papers discussing trust management in UIoT networks. 19 [273,275,276,314,[323][324][325][326][327][328][329][330][331][332][333][334][335][336][337] Figure 15. Results based on the systematic analysis of security attacks and management.…”

Section: Q4: What Are the Findings Based On The Existing Research Work?mentioning

confidence: 99%

A Systematic Review on Recent Trends, Challenges, Privacy and Security Issues of Underwater Internet of Things

Kim

et al. 2021

Sensors

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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 narrow-channel 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.

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“…Therefore, in recent years, UWSNs have been used to collect various underwater data to achieve many goals (such as pollution monitoring, disaster prevention, flood monitoring, oceanographic research, oil pipeline monitoring, mineral exploration, military surveillance, etc.) [ 2 , 3 ].…”

Section: Introductionmentioning

confidence: 99%

Energy-Efficient Data Transmission for Underwater Wireless Sensor Networks: A Novel Hierarchical Underwater Wireless Sensor Transmission Framework

Zhang

Wang

et al. 2023

Sensors

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The complexity of the underwater environment enables significant energy consumption of sensor nodes for communication with base stations in underwater wireless sensor networks (UWSNs), and the energy consumption of nodes in different water depths is unbalanced. How to improve the energy efficiency of sensor nodes and meanwhile balance the energy consumption of nodes in different water depths in UWSNs are thus urgent concerns. Therefore, in this paper, we first propose a novel hierarchical underwater wireless sensor transmission (HUWST) framework. We then propose a game-based, energy-efficient underwater communication mechanism in the presented HUWST. It improves the energy efficiency of the underwater sensors personalized according to the various water depth layers of sensor locations. In particular, we integrate the economic game theory in our mechanism to trade off variations in communication energy consumption due to sensors in different water depth layers. Mathematically, the optimal mechanism is formulated as a complex nonlinear integer programming (NIP) problem. A new energy-efficient distributed data transmission mode decision algorithm (E-DDTMD) based on the alternating direction method of multipliers (ADMM) is thus further proposed to tackle this sophisticated NIP problem. The systematic simulation results demonstrate the effectiveness of our mechanism in improving the energy efficiency of UWSNs. Moreover, our presented E-DDTMD algorithm achieves significantly superior performance to the baseline schemes.

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ANFIS based Trust Management Model to Enhance Location Privacy in Underwater Wireless Sensor Networks

Cited by 15 publications

References 19 publications

Security challenges of Internet of Underwater Things: A systematic literature review

Security challenges of Internet of Underwater Things: A systematic literature review

A Systematic Review on Recent Trends, Challenges, Privacy and Security Issues of Underwater Internet of Things

Energy-Efficient Data Transmission for Underwater Wireless Sensor Networks: A Novel Hierarchical Underwater Wireless Sensor Transmission Framework

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