Query Privacy Preserving for Data Aggregation in Wireless Sensor Networks

Liu, Xiaowu; Zhang, Xiaowei; Yu, Jiguo; Fu, Can

doi:10.1155/2020/9754973

Cited by 18 publications

(7 citation statements)

References 43 publications

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“…Conserving data mining to protect privacy leakage of user information [45] P18 Using a telematics control unit (TCU) for remote control of vehicles [46] P19 Adopting CVSS (common vulnerability scoring system) to measure the severity of software vulnerabilities [47] Machine learning system P20 Performing data sanitization and robust learning to defend against misleading in the learning process [48] P21 Ensuring the privacy of data by privacy homomorphism [49]…”

Section: P17mentioning

confidence: 99%

A fsQCA-Based Framework for Cybersecurity of Connected and Automated Vehicles: Implications for Sustainable Development Goals

Karuppiah,

Sankaranarayanan,

Ali

et al. 2024

Vehicles

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Connected and automated vehicles (CAV) are increasingly recognized as a critical component of intelligent transportation systems (ITS), contributing to advances in transportation safety and mobility. However, the implementation of CAV in a real-world environment comes with various threats, and cybersecurity is among the most vulnerable. As the technology becomes more advanced and complex, it is essential to develop a comprehensive cybersecurity framework that can address these concerns. This research proposes a novel framework based on complexity theory and employs the fuzzy set qualitative comparative analysis (fsQCA) technique to identify combinations of security attacks that lead to achieving cybersecurity in CAV. Compared to structural equation modelling (SEM), the fsQCA method offers the advantage of demonstrating all possible ways to achieve the outcome. The study’s findings suggest that in-vehicle networks and data storage security are the most crucial factors in ensuring the cybersecurity of CAV. The results can be useful for automotive designers in reducing the potential for attacks while developing secure networks.

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Section: P17mentioning

confidence: 99%

A fsQCA-Based Framework for Cybersecurity of Connected and Automated Vehicles: Implications for Sustainable Development Goals

Karuppiah,

Sankaranarayanan,

Ali

et al. 2024

Vehicles

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“…In this way even if the attacker get eavesdrop message, it gets only a slice of the information which cannot be constructed to get a complete message. A random key management method as in energy-efficient and privacy-preserving data aggregation algorithm (EEPDA) [42] is utilised or an elliptic curve based method for encryption in queries privacy-preserving mechanism for data ❒ ISSN: 2088-8708 aggregation (QPDA) [43] can also be utilized to overcome eavesdropping attack.…”

Section: Eavesdroppingmentioning

confidence: 99%

Survey on data aggregation based security attacks in wireless sensor network

Tabassum

Devanagavi

Biradar

et al. 2023

IJECE

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<p>Wireless sensor network (WSN) has applications in military, health care, environmental monitoring, infrastructure, industrial and commercial applications. The WSN is expected to maintain data integrity in all its network operations. However, due to the nature of wireless connectivity, WSN is prone to various attacks that alter or steal the data exchanged between the nodes. These attacks can disrupt the network processes and also the accuracy of its results. In this survey paper, we have reviewed various attacks available in the literature till date. We have also listed existing methods that focus on data aggregation based security mechanisms in WSN to counter the attacks. We have classified and compared these methods owing to their encryption techniques. This paper intends to support researchers to understand the basic attacks prevalent in WSN and schemes to counter such attacks.</p>

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“…The performance results show the schemes are low overhead in terms of storage, communication, and computation. Also, the works in [5][6] propose energyefficient clustering schemes that reduce the transmission delay and energy consumption in the network. The schemes either adopt the conventional methods and/or algorithms or hybridize the concepts of conventional algorithms.…”

Section: Related Workmentioning

confidence: 99%

“…For example, in developing query-driven applications in WSN [3], attribute-based naming is necessary to specify the properties of data in a query. However, there is no standard naming scheme for various complex applications in the literature, which limits the deployment of the data-centric approaches in practice for WSNs [4][5][6][7][8][9]. In the meantime, named data networking (NDN) has emerged as a promising field to cope with the usage of today's internet which follows data-centric communication [10] [11].…”

Section: Introductionmentioning

confidence: 99%

IPLQueeN: Integrity Preserving Low-Overhead Query Handling Over NDN-Based WSN

2021

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Recently there has been a new emerging trend in using the technology of Named Data Networking (NDN) on wireless sensor networks (WSNs) to improve data-centric communications over WSNs. The usage of the NDN notion in WSN for such communications can be advantageous in many respects ranging from ensuring secure data collection without using the nodes' location and several nodes to possible delivery of sensory data by utilizing the cached data in intermediate components of the network. On the other hand, WSN being a resource-constrained, energy-starved network, the data communication mechanism must be low-overhead in terms of computation and communication overheads. Thus, we propose integrity preserving low overhead query handling over NDN-based WSN. We make the scheme low overhead by judicious use of the NDN data structure Content Store (CS), Pending Interest Table (PIT), Forwarding Information Base (FIB) in a few strategically placed nodes. We also make the data collection secure by applying an existing Light-weight One-way Cryptographic Hash Algorithm (LOCHA) on the collected data. The performance of the scheme is analyzed theoretically in terms of communication, computation, storage overheads. We also simulate the entire query processing scheme including request and response forwarding in Cooja, the Contiki network simulator. Simulation results show that our scheme does not compromise with network performance such as packet loss rate, network lifetime, end-to-end delay, etc. while achieving the design goal of making the scheme energy saving which establishes that the scheme is readily implementable in real life mote e.g., Tmote Sky. Finally, all the results are compared with three competing schemes and the results confirm our scheme's supremacy in terms of both design performance as well as network performance.

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Query Privacy Preserving for Data Aggregation in Wireless Sensor Networks

Cited by 18 publications

References 43 publications

A fsQCA-Based Framework for Cybersecurity of Connected and Automated Vehicles: Implications for Sustainable Development Goals

A fsQCA-Based Framework for Cybersecurity of Connected and Automated Vehicles: Implications for Sustainable Development Goals

Survey on data aggregation based security attacks in wireless sensor network

IPLQueeN: Integrity Preserving Low-Overhead Query Handling Over NDN-Based WSN

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