SAPDA: Secure Authentication with Protected Data Aggregation Scheme for Improving QoS in Scalable and Survivable UWSNs

Goyal, Nitin; Dave, Mayank; Verma, Anil Kumar

doi:10.1007/s11277-020-07175-8

Cited by 79 publications

(37 citation statements)

References 36 publications

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“…41 • Yun et al 39 propose a ticket-based authentication protocol that goes through four phases and involves the collaboration of the cluster head, gateway, and base station. • A protocol for secure authentication of CHs and protected data aggregation is proposed by Goyal et al 45 CHs are authenticated to gateways to ensure that the CHs serving each cluster are valid and not compromised. In the second module, each sensor node encrypts the data using symmetric key encryption before communicating to the CH.…”

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

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

confidence: 99%

“…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. CHs are authenticated to gateways to ensure that the CHs serving each cluster are not compromised.…”

Section: Attack Detection and Mitigationmentioning

confidence: 99%

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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“…Authors in [33] have proposed a novel routing protocol for UWSNs to cope with malicious attacks in order to improve the reliability of the network. They used multi-sink network Authors in [12] also presented a clustering technique for balancing the energy consumption.…”

Section: Clustering Techniquesmentioning

confidence: 99%

“…The topology has dependency on the size of the cluster and the distance between the CH and the surface sink [32]. The network efficiency of clustering schemes can also be improved by designing a technique that handles the different network attacks, as wireless networks are prone to prey by many malicious attacks [33].…”

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confidence: 99%

Anchor Nodes Assisted Cluster-Based Routing Protocol for Reliable Data Transfer in Underwater Wireless Sensor Networks

et al. 2021

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Reliable data transfer seems a quite challenging task in Underwater Wireless Sensor Networks (UWSN) in comparison with Terrestrial Wireless Sensor Networks due to the peculiar attributes of UWSN communication. However, the reliable data transmission in UWSN is very limited. Yet, there is a way to achieve reliable data transfer metrics through the design of routing protocols by considering the exceptional features of UWSN communications. With this aim, we propose two schemes with multiple sinks-based network architecture: Anchor Nodes assisted Cluster-based Routing Protocol (ANCRP) to achieve reliable data transfer metrics and Void Handling technique in ANCRP (VH-ANCRP) to cope with the local maximum nodes. For which, the network space is divided into small cubes to form clusters. Then, each cube is assigned with an anchor node as a cluster head (CH). All cluster heads are supposed to be anchored at the centroid of a cube via a string, while source nodes are randomly distributed. In ANCRP, the source nodes are liable to send the sensed data to their designated CH. The CH transmits the sensed data to the next-hop CH and continues this procedure till the successful delivery of the data packets at the surface sinks. In VH-ANCRP, a void handling technique of making the ad-hoc CH is used by the void nodes to reconnect with the network operations. We perform extensive simulations in NS3 to validate our schemes. The simulation outcomes expel that both proposed schemes have improved the network performance when compared with the baseline schemes. INDEX TERMS Underwater wireless sensor networks, reliable data transfer, routing protocol, anchor nodes, clustering technique, void handling. I. INTRODUCTION Currently, Underwater Wireless Sensor Networks (UWSNs) are gaining pivotal considerations in both industrial and academia sector because of their wide and comprehensive implementation areas, such as resource exploration, navigation assisting, military surveillance, calamity preventions, etc. [1]. The underwater WSNs also assist in finding the unexplored underwater resources and aquatic data collection with the help of different computational intelligence approaches [2]. The underwater wireless sensor nodes are supposed to be deployed sparsely from surface-layer to seabedlayer for fetching the data from the underwater harsh environments by using an acoustic modem [3], [4]. Underwater communication through optical signals is not feasible due to absorption loss and rapid attenuation. Thus, underwater communication is carried out in acoustic signals [5]. The

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“…Moreover there are many current technologies going on but the major drawback among all these technologies are that they are not cost effective it is found to be expensive and proven as not adaptable. There are many devices which are generally used for the communication within the water but still these devices have some drawbacks or they are lagging behind with some type of important features [2] . With the lack of devices which helps to communicate or transfer data under the water there are many things that still come to know like tracking of the device, configuration of the device and collection of the data.…”

Section: Introductionmentioning

confidence: 99%

Underwater Networked Wireless Sensor Data Collection for Computational Intelligence Techniques: Issues, Challenges, and Approaches

et al. 2020

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Underwater wireless sensor networks (UWSNs) is emerging as an advance terminology for monitoring and controlling the underwater aquatic life. This technology determines the undiscovered resources present in the water through computational intelligence (CI) techniques. CI here pertains to the capability of a system to acquire a specific task from data or experimental surveillance below the water. In today's time data is considered as the identity for everything that exists in nature, whether that data is related to human beings, machines or any type of device like internet of underwater things (IoUT). The collected data should be correct, complete and fulfill the requirements of a particular task to be done. Underwater data collection is very tough because of sensors mobility due to water drift 3 meters/sec, crest and trough. A lot of packet drop also exists due to underwater conditions that hurdles the data collection process. Various techniques already exists for efficient collection of data below the water but these are not properly classified. This manuscript has summarized the concept of data collection in UWSN along with its classification based on routing. Also, a short discussion about existence of CORONA below the water along with water purification is carried out. Furthermore, some data routing approaches are also analyzed on the basis of quality of service parameters and the current challenges to be tackled during data collection are also discussed. INDEX TERMS Acoustic sensor network, coronavirus (COVID-19), computational intelligence, routing, underwater sensor network DIVYA ANAND received the Ph.D. degree in computer science and engineering and Masters of Technology in information security from the Lovely Professional University. She has expertise in Teaching, Entrepreneurship and Research and Development. She is currently an Assistant Professor with the Lovely Professional University. She has published over 20 conferences and journal articles. Her research interests include networks security, bioinformatics, machine learning, gene identification, big data analytics and computational models.

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SAPDA: Secure Authentication with Protected Data Aggregation Scheme for Improving QoS in Scalable and Survivable UWSNs

Cited by 79 publications

References 36 publications

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

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

Anchor Nodes Assisted Cluster-Based Routing Protocol for Reliable Data Transfer in Underwater Wireless Sensor Networks

Underwater Networked Wireless Sensor Data Collection for Computational Intelligence Techniques: Issues, Challenges, and Approaches

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