Sensor-Cloud Architecture: A Taxonomy of Security Issues in Cloud-Assisted Sensor Networks

Alturki, Ryan; Alyamani, Hasan J.; Ikram, Mohammed Abdulaziz; Rahman, Arafatur; Alshehri, Mohammad Dahman; Khan, Fazlullah; Haleem, M.A.S. Abdel

doi:10.1109/access.2021.3088225

Cited by 11 publications

(8 citation statements)

References 98 publications

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“…The WSN security system includes physical network system security, security defense systems, data, and information security, attack detection, and attack patterns. Research related to security system constraints in WSN includes several aspects, including [20]- [24]:…”

Section: Methodsmentioning

confidence: 99%

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Wireless Sensor Network Based Monitoring System: Implementation, Constraints, and Solution

Miptahudin

Suryani²,

Wirawan³

2022

JOIV : Int. J. Inform. Visualization

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Wireless Sensor Network (WSN) is a collection of sensors communicating at close range by forming a wireless-based network (wireless). Since 2015 research related to the use of WSN in various health, agriculture, security industry, and other fields has continued to grow. One interesting research case is the use of WSN for the monitoring process by collecting data using sensors placed and distributed in locations based on a wireless system. Sensors with low power, multifunction, supported by a combination of wireless network, microcontroller, memory, operating system, radio communication, and energy source in the form of an integrated battery enable a monitoring process of the monitoring area to run properly. The implementation of the wireless sensor network includes five main parts, namely sender, receiver, wireless transmission media, data/information, network architecture/configuration, and network management. Network management itself includes network configuration management, network performance management, network failure management, network security management, and network financing management. The main obstacles in implementing a wireless sensor network include three things: an effective and efficient data sending/receiving process, limited and easily depleted sensor energy/power, network security, and data security that is vulnerable to eavesdropping and destruction. This paper presents a taxonomy related to the constraints in implementing Wireless Sensor Networks. This paper also presents solutions from existing studies related to the constraints of implementing the WSN. Furthermore, from the results of the taxonomy mapping of these constraints, new gaps were identified related to developing existing research to produce better solutions.

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Section: Methodsmentioning

confidence: 99%

“…Alturki et al [24] studied the importance of securing the sensor-cloud architecture from various security attacks to maintain its integrity. The main components of a sensor-cloud architecture that can be attacked are:…”

Section: Wsn Security Systemsmentioning

confidence: 99%

Wireless Sensor Network Based Monitoring System: Implementation, Constraints, and Solution

Miptahudin

Suryani²,

Wirawan³

2022

JOIV : Int. J. Inform. Visualization

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“…All the beacon nodes forward the data, say (data_i) to all its intermediate nodes by calibrating the distance Dis_i with the speed spe_i by coordinated modes correspondingly. For communicating properly, the free space renovation model is utilized and hence the receiver model can be calculated mathematically in (4).…”

Section: Direct Trust Value Evaluationmentioning

confidence: 99%

“…In such commodity networks, transmitting quite a high quantity of data through the network ends up with variety of issues, including low QoS, i.e., delay, bottleneck, speed, and privacy. They have poor memory, computation, and network control, as well as an irreversible form of energy [4]. Several studies concentrate on providing an answer with efficient routing efficacy and network connectivity due to poor connectivity and restrictive limits of edge devices.…”

mentioning

confidence: 99%

Multi level trust calculation with improved ant colony optimization for improving quality of service in wireless sensor network

Ahmed

Abbas

Rashid

2023

IJ-AI

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Wireless sensor network (WSN) is the most integral parts of current technology which are used for the real time applications. The major drawbacks in currect technologies are threads due to the creation of false trust values and data congestion. Maximum of the concept of WSNs primarily needs security and optimization. So, we are in the desire to develop a new model which is highly secured and localized. In this paper, we introduced a novel approach namely multi level trust calculation with improved ant colony optimization (MLT-IACO). This approach mainly sub-divided into two sections they are multi level trust calculation which is the combination three levels of trust such as direct trust, indirect trust and random repeat trust. Secondly, improved ant colony optimization technique is used to find the optimal path in the network. By transmitting the data in the optimal path, the congestion and delay of the network is reduced which leads to increase the efficiency. The outcome values are comparatively analyzed based the parameters such as packet delivery ratio, network throughput and average latency. While compared with the earlier research our MLT-IACO approach produce high packet delivery ratio and throughput as well as lower latency and routing overhead.

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“…Wireless sensor networks (WSNs) have become a ubiquitous technology in modern society, offering versatile communication platforms for various applications. These networks play a crucial role in fields such as monitoring, logistics, surveillance, smart homes, and healthcare [1], where ensuring high levels of security is paramount [2,3]. However, with the advancements in quantum technologies, many traditional security mechanisms employed in WSNs are at risk of being compromised.…”

Section: Introductionmentioning

confidence: 99%

Quantum walks-based simple authenticated quantum cryptography protocols for secure wireless sensor networks

Alanezi,

Abd El-Latif,

Kolivand

et al. 2023

New J. Phys.

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Wireless sensor networks (WSNs) play a crucial role in various applications, ranging from environmental monitoring to industrial automation that require high levels of security. With the development of quantum technologies, many security mechanisms may be hacked due to the promising capabilities of quantum computation. To address this challenge, quantum protocols have emerged as a promising solution for enhancing the security of wireless sensor communications. One of the common types of quantum protocols is quantum key distribution (QKD) protocols, which are investigated to allow two participants with fully quantum capabilities to share a random secret key, while semi-quantum key distribution (SQKD) protocols are designed to perform the same task using fewer quantum resources to make quantum communications more realizable and practical. Quantum walk (QW) plays an essential role in quantum computing, which is a universal quantum computational paradigm. In this work, we utilize the advantages of QW to design three authenticated quantum cryptographic protocols to establish secure channels for data transmission between sensor nodes: the first one is authenticated quantum key distribution (AQKD), the second one is authenticated semi-quantum key distribution (ASQKD) with one of the two participants having limited quantum capabilities, and the last one is ASQKD but both legitimate users possess limited quantum resources. The advantages of the proposed protocols are that the partners can exchange several different keys with the same exchanged qubits, and the presented protocols depend on a one-way quantum communication channel. In contrast, all previously designed SQKD protocols rely on two-way quantum communication. Security analyses prove that the presented protocols are secure against various well-known attacks and highly efficient. The utilization of the presented protocols in wireless sensor communications opens up new avenues for secure and trustworthy data transmission, enabling the deployment of resilient WSNs in critical applications. This work also paves the way for future exploration of quantum-based security protocols and their integration into WSNs for enhanced data protection.

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Sensor-Cloud Architecture: A Taxonomy of Security Issues in Cloud-Assisted Sensor Networks

Cited by 11 publications

References 98 publications

Wireless Sensor Network Based Monitoring System: Implementation, Constraints, and Solution

Wireless Sensor Network Based Monitoring System: Implementation, Constraints, and Solution

Multi level trust calculation with improved ant colony optimization for improving quality of service in wireless sensor network

Quantum walks-based simple authenticated quantum cryptography protocols for secure wireless sensor networks

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