A Spatial Source Location Privacy-aware Duty Cycle for Internet of Things Sensor Networks

Bradbury, Matthew; Jhumka, Arshad; Maple, Carsten

doi:10.1145/3430379

Cited by 6 publications

(7 citation statements)

References 47 publications

(74 reference statements)

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“…There are several approaches [21,22] with current techniques focusing on dynamically determining good parameters online [16]. A criticism of fake sources is that they tend to use more energy compared to phantom routing, although this is due to a lack of investigation into applying duty cycling to SLP techniques [23]. Other techniques consist of a hybrid between generating fake messages and messages taking alternate paths through the network.…”

Section: Related Workmentioning

confidence: 99%

Quantifying Source Location Privacy Routing Performance via Divergence and Information Loss

Bradbury

Jhumka

2022

IEEE Trans.Inform.Forensic Secur.

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Source location Privacy (SLP) is an important property for security critical applications deployed over a wireless sensor network. This property specifies that the location of the source of messages needs to be kept secret from an eavesdropping adversary that is able to move around the network. Most previous work on SLP has focused on developing protocols to enhance the SLP imparted to the network under various attacker models and other conditions. Other works have focused on analysing the level of SLP being imparted by a specific protocol. In this paper, we introduce the notion of a routing matrix which captures when messages are first received. We then introduce a novel approach where an optimal SLP routing matrix is derived. In this approach, the attacker's movement is modelled as a Markov chain where measures of conditional entropy and divergence are used to compare routing matrices and quantify if they provide high levels of SLP. We propose the notion of a properly competing paths that causes an attacker to divert when moving towards the source. This concept provides the basis for developing a perturbation model, similar to those used in privacy-preserving data mining. We formally prove that properly competing paths are both necessary and sufficient in ensuring the existence of an SLP-aware routing matrix and show their usage in developing an SLP-aware routing matrix. Further, we show how different SLP-aware routing matrices can be obtained through different instantiations of the framework. Those instantiations are obtained based on a notion of information loss achieved through the use of the perturbation model proposed.

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Section: Related Workmentioning

confidence: 99%

Quantifying Source Location Privacy Routing Performance via Divergence and Information Loss

Bradbury

Jhumka

2022

IEEE Trans.Inform.Forensic Secur.

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“…Further, S. Aswell and V. R. Gorpade presented a Link Quality and Energy Aware Routing (LEQAR) in which the next-hop forwarding node is selected based on the distance between the next-hop node and sink, remaining energy, and the quality of link associated with it. LEQAR discovers multiple paths between sources and sink nodes for reliable data delivery [65].Lodhi et al, [66] proposed a "Multi-Path Multi-Priority (MPMP)" data communication method based on the optimization of cross-layer architecture which was oriented to the awareness of context. This approach employed a "Two-Phase Geographical Greedy Forwarding (TPGF)" multi-path routing scheme is used to discover node disjoint multiple paths at the network layer.…”

Section: ) Communication Energymentioning

confidence: 99%

“…This kind of problem-solving strategy induces a huge computational burden over the network. P. Spachos et al, [65] and S. Aswale and V. R. Gorpade [66], [71] linked the energy consumption with the distance between communicating sensor nodes, sensor node to sink node distance, and remaining energy. Moreover, they have adopted multipath routing which is the main advantage.…”

Section: ) Dynamic Power Controlmentioning

confidence: 99%

QoS Strategies for Wireless Multimedia Sensor Networks with Energy- Efficient Routing Techniques & QoS Assurances

2021

International Journal For Innovative Engineering and Management

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In recent years, for delivering multimedia information such as images and videos, wireless multimedia sensor networks (WMSNs) have emerged as an outstanding technique. Due to the fast Advancements in sensor technology and the availability of low-cost hardware, the development of Wireless Multimedia Sensor Networks (WMSNs) has emerged. WMSNs are composed of resourceconstrained wireless nodes through which both the scalar data and multimedia data (i.e., audio, still images, and video) can be sensed and acquired from the environment. However, the resource-constrained nature of multimedia sensing devices has made the WMSNs face several challenges. To tackle these challenges, different authors developed different methods. In this paper, we have surveyed all such kinds of methods. Initially, we study the basic architecture of multimedia senor nodes followed by the characteristics and applications of WMSNs. Next, we have conducted a detailed survey over different methods and all those methods are segregated into three categories. Under the segregation, we have considered different aspects and segregated them as Data-Aware methods, QoS Aware methods, and Energy-Aware methods. In the end, we also summarized the existing solutions and outlined several pros and cons. In this paper, recent developments in techniques for designing highly energy-efficient and QoScapable WMSNs are surveyed.

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“…Bradbury et al [20] present a novel formalization of a duty cycling protocol as a transformation process. Using derived transformation rules, they present the first duty cycling protocol for a Source Location Privacy awareness routing protocol for a local eavesdropping attacker.…”

Section: Introductionmentioning

confidence: 99%

A Security Transmission and Early Warning Mechanism for Intelligent Sensing Information in Internet of Things

Wang

et al. 2022

Journal of Sensors

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As the demand for intelligent services in the Internet of Things continues to increase, the amount of intelligent sensing information is also increasing, and the security of these information has gradually attracted attention. Owing to the openness and the dynamics of intelligent sensor devices, there are a lot of security issues which needed to be resolved for the corresponding intelligent sensing information. In order to protect the transmission security of intelligent sensing information, this paper proposes a security transmission and early warning mechanism for intelligent sensing information in the Internet of Things. In the security transmission and early waring mechanism, we first propose an encryption/decryption algorithm for intelligent sensing information. Then, we build a security transmission algorithm. On that basis, we propose an early warning algorithm of intelligent sensing information. At the end of this paper, we analyze the security of this mechanism and the results of the experiment in order to illustrate its effectiveness. The results show that our proposed security transmission and early warning mechanism are very effective in the Internet of Things.

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A Spatial Source Location Privacy-aware Duty Cycle for Internet of Things Sensor Networks

Cited by 6 publications

References 47 publications

Quantifying Source Location Privacy Routing Performance via Divergence and Information Loss

Quantifying Source Location Privacy Routing Performance via Divergence and Information Loss

QoS Strategies for Wireless Multimedia Sensor Networks with Energy- Efficient Routing Techniques & QoS Assurances

A Security Transmission and Early Warning Mechanism for Intelligent Sensing Information in Internet of Things

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