Position-Independent and Section-Based Source Location Privacy Protection in WSN

Mukamanzi, Florence; Raja, Manjula; Koduru, Tejodbhav; Datta, Raja

doi:10.1109/tii.2022.3183804

Cited by 13 publications

(13 citation statements)

References 29 publications

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“…To increase the geographical location diversity of the phantom node and protect the source location's security, the authors employ the sector domain and the coordinates of the central node V. [49] proposed a pseudospiral-routing protocol based on the Archimedes curve to secure the location of the source and sink nodes. [50] proposed an effective Source Location Privacy (SLP) preservation method that provides privacy regardless of location of the node in the network.…”

Section: B Wsnmentioning

confidence: 99%

A Novel Deception-Based Scheme to Secure the Location Information for IoBT Entities

Alkanjr

Mahgoub

2023

IEEE Access

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The Internet of Battlefield Things (IoBT) is a subdomain of the Internet of Things (IoT) that applies to a battlefield. Due to the limited communication infrastructure, the entities in the battlefield communicate with each other using Device-2-Device (D2D) communication. D2D is used to send and request extremely sensitive data as well as the location information of other entities. Thus, to execute tasks and avoid information leaks, it is critical to protect the location data of soldiers and equipment. To the best of our knowledge, location privacy issues in IoBT have not been fully investigated. The attackers are expected to probe the network before attacking valuable assets, giving them an advantage over the defenders. This advantage can be offset by using deception-based methods. In this study, we propose a deceptionbased scheme to enhance the location information security of IoBT nodes. A novel encryption method is proposed along with dummy identities and dummy packets. We develop a mathematical model to evaluate the proposed scheme in terms of safety time, probability of failure, and probability of identifying the real packet. The obtained results demonstrate that the proposed method is efficient in reducing the probability of identifying the real location of the communicating entities. We develop NetLogo simulation to validate the mathematical model.

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Section: B Wsnmentioning

confidence: 99%

A Novel Deception-Based Scheme to Secure the Location Information for IoBT Entities

Alkanjr

Mahgoub

2023

IEEE Access

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“…The method reduces to the shortest path scheme if the attacker does not revisit a node and waits until a new node encounters (Jan et al , 2021). The authors discuss a source location privacy preservation scheme based on biased random walk and greedy algorithm (Mukamanzi et al , 2022). The authors propose a scheme to improve location privacy of the source node.…”

Section: Related Workmentioning

confidence: 99%

Source location privacy preservation in IoT-enabled event-driven WSNs

Sharma

Bhatt

2022

IJPCC

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Purpose Privacy preservation is a significant concern in Internet of Things (IoT)-enabled event-driven wireless sensor networks (WSNs). Low energy utilization in the event-driven system is essential if events do not happen. When events occur, IoT-enabled sensor network is required to deal with enormous traffic from the concentration of demand data delivery. This paper aims to explore an effective framework for safeguarding privacy at source in event-driven WSNs. Design/methodology/approach This paper discusses three algorithms in IoT-enabled event-driven WSNs: source location privacy for event detection (SLP_ED), chessboard alteration pattern (SLP_ED_CBA) and grid-based source location privacy (GB_SLP). Performance evaluation is done using simulation results and security analysis of the proposed scheme. Findings The sensors observe bound events or sensitive items within the network area in the field of interest. The open wireless channel lets an opponent search traffic designs, trace back and reach the start node or the event-detecting node. SLP_ED and SLP_ED_CBA provide better safety level results than dynamic shortest path scheme and energy-efficient source location privacy protection schemes. This paper discusses security analysis for the GB_SLP. Comparative analysis shows that the proposed scheme is more efficient on safety level than existing techniques. Originality/value The authors develop the privacy protection scheme in IoT-enabled event-driven WSNs. There are two categories of occurrences: nominal events and critical events. The choice of the route from source to sink relies on the two types of events: nominal or critical; the privacy level required for an event; and the energy consumption needed for the event. In addition, phantom node selection scheme is designed for source location privacy.

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“…1,2 Wireless sensor networks (WSN) are one of the parts of SIoT, which permit the interaction of an object with another object or people. 3 The SIoT faces several threats that affect its security, and some of the threats are node compromising, route disrupting, eavesdropping, and data fabricating. These attacks make the source location privacy (SLP) important for SIoT.…”

Section: Introductionmentioning

confidence: 99%

“…SIoT represents an extended social network that interconnects individuals with objects, fosters connections between individuals, and facilitates interactions between various objects 1,2 . Wireless sensor networks (WSN) are one of the parts of SIoT, which permit the interaction of an object with another object or people 3 . The SIoT faces several threats that affect its security, and some of the threats are node compromising, route disrupting, eavesdropping, and data fabricating.…”

Section: Introductionmentioning

confidence: 99%

A source location privacy protocol‐based energy‐efficient and link‐reliable multi‐scale bifurcated deep Capsnet routing in social Internet of Things

Mariappan Sakthivel,

Subramanian,

Syed Mohammadu

et al. 2024

Int J Communication

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SummarySource location privacy is a developing research topic in the social Internet of Things. Source location privacy holds paramount importance in security critical wireless sensor network applications like tracking and monitoring. Several methods have been proposed for source location privacy in the social Internet of Things, but the existing methods have some issues such as improper path selection, the transmission of duplicate messages, and low network lifetime. To overcome these issues, a source location privacy protocol based on energy‐efficient and link‐reliable multi‐scale bifurcated deep Capsnet routing in the social Internet of Things is proposed in this manuscript. At first, the optimal route for the source is selected with the help of energy‐efficient and link‐reliable routing, this method helps to avoid improper path selection. To estimate the quality of the selected optimal path, the multi‐scale bifurcated deep Capsnet is applied. The introduced method is executed in MATLAB. The introduced method's performance is estimated with the aid of several performances evaluating metrics like sensitivity, energy consumption, network lifetime, safety period, and delay.

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Position-Independent and Section-Based Source Location Privacy Protection in WSN

Cited by 13 publications

References 29 publications

A Novel Deception-Based Scheme to Secure the Location Information for IoBT Entities

A Novel Deception-Based Scheme to Secure the Location Information for IoBT Entities

Source location privacy preservation in IoT-enabled event-driven WSNs

A source location privacy protocol‐based energy‐efficient and link‐reliable multi‐scale bifurcated deep Capsnet routing in social Internet of Things

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