Preserving users' privacy for continuous query services in road networks

Domenic, M. Kamenyi; Wang, Yong; Zhang, Fengli; Memon, Imran; Gustav, Yankson H.

doi:10.1109/iciii.2013.6702947

Cited by 25 publications

(14 citation statements)

References 6 publications

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“…Finally, the privacy model δp is calculated. If it is not satisfied, r i is expanded from all the sides until it is equal to δp and R i = r i (steps [27][28][29]. When all these conditions are achieved, AS-DTMC proceeds to issue the snapshot query to the LBSs with R i (step 30), otherwise, the snapshot will be suppressed and the cloaking engine will process the subsequent snapshots (steps 31-32).…”

Section: Algorithm Depictionmentioning

confidence: 98%

“…However, the privacy metric employed in these previous studies is only the granularity of cloaked regions (without considering the location k-anonymity). Another related work is [29], which employed entropy of information theory to measure the location anonymity level by considering the probabilities of users being in a cloaked region. As entropy does not care whether user locations are actually different, the exact user location would be disclosed if all k users are at the same location.…”

Section: Maximum Movement Boundary Attackmentioning

confidence: 99%

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Authentication User’s Privacy: An Integrating Location Privacy Protection Algorithm for Secure Moving Objects in Location Based Services

Memon

2015

Wireless Pers Commun

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Location based services (LBSs) are gaining importance due to the advancement in mobile networks and positioning technologies. The proliferation of location-based services in recent years has highlighted the need to consider location privacy. This has led to the development of methods enhancing location privacy, and to the investigation of reasons for sharing location information. While computational attacks on location privacy and their prevention have attracted a lot of research, attacks based on humans strategies and tactics have mostly been considered implicitly. Nevertheless, in querying LBSs, a user send its exact locations to their location service providers but in the process, location information of the users are misused either purposefully or otherwise by service providers creating privacy issues for users. It has therefore become important that mechanisms necessary to protect the privacy of users are adopted when querying location based services. It's on this premise that we introduced a novel query privacy algorithm called the authentication speed dynamic transportation mode cloaking algorithm for continuous query LBSs that considers users' similarity in speed, direction and travelling with the same transport mode for cloaking for anonymization. Experimental evaluation of the algorithm on a real world map shows that our model ensures total privacy for users, enhanced privacy guarantee, improves quality of service significantly and achieved an excellent performance measure also we compare our method with existing privacy protection methods such as V-DCA, DSDCA, AVD-DCA,D-TC and GCA.

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Section: Algorithm Depictionmentioning

confidence: 98%

Section: Maximum Movement Boundary Attackmentioning

confidence: 99%

Authentication User’s Privacy: An Integrating Location Privacy Protection Algorithm for Secure Moving Objects in Location Based Services

Memon

2015

Wireless Pers Commun

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“…As compared to the wired medium, ensuring security for the wireless medium is more challenging mainly due to the broadcast nature of the transmissions. Similar to wired communication, cryptographic schemes were adopted in wireless technology to ensure information security and they are still handy in several application scenarios [1][2][3][4][5]. But cryptographic schemes rely on the assumption that it is computationally challenging to calculate inverses of certain oneway functions within reasonable time limits using the currently available computing power.…”

Section: Introductionmentioning

confidence: 99%

SNR based secure communication via untrusted amplify-and-forward relay nodes using artificial noise

Sarma

Kuri

2016

Wireless Netw

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A two-phase beamforming solution for secure communication using untrusted relay nodes is presented. To thwart eavesdropping attempts of participant relay nodes, we deliberately introduce artificial noise in the source message. We observe that for certain scenarios, the source node prefers to allocate its full power to the message signal and, therefore, in the absence of artificial noise, such transmissions will be vulnerable to eavesdropping. Therefore, we provide a signal-to-noise ratio (SNR) based framework for secure communication. We intend to bring down the SNR at each of the untrusted relay nodes below a certain predefined threshold; whereas, using beamforming, we want to boost the SNR at the destination. With this motive, we evaluate the optimal scaling vector for the beamforming phase, which not only nullifies the artificial noise transmitted initially, but also maximizes the SNR at the destination. We discuss both the total and individual power constraint scenarios and provide an analytical optimal solution and an iterative algorithm, respectively.

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“…The second strategy is about the identity issue; in addition to the encryption techniques mentioned before, other solutions exploit node locations [11][12][13][14], which help in determining the malicious nodes on the basis of their positions with respect to the normal ones. As an example, Verifiable Multilateration (VM) [12] uses localization in order to evaluate the reliability of the sensor nodes and identifying possible outliers.…”

Section: 1mentioning

confidence: 99%

“…As an example, Verifiable Multilateration (VM) [12] uses localization in order to evaluate the reliability of the sensor nodes and identifying possible outliers. Note that [13,14] are tailored to secure wireless communications of mobile devices, but the defined methods could be applied to WSN.…”

Section: 1mentioning

confidence: 99%

Performance Comparison of Reputation Assessment Techniques Based on Self-Organizing Maps in Wireless Sensor Networks

Sicari

Grieco

Coen‐Porisini

2017

Wireless Communications and Mobile Computing

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Many solutions based on machine learning techniques have been proposed in literature aimed at detecting and promptly counteracting various kinds of malicious attack (data violation, clone, sybil, neglect, greed, and DoS attacks), which frequently affect Wireless Sensor Networks (WSNs). Besides recognizing the corrupted or violated information, also the attackers should be identified, in order to activate the proper countermeasures for preserving network's resources and to mitigate their malicious effects. To this end, techniques adopting Self-Organizing Maps (SOM) for intrusion detection in WSN were revealed to represent a valuable and effective solution to the problem. In this paper, the mechanism, namely, Good Network (GoNe), which is based on SOM and is able to assess the reliability of the sensor nodes, is compared with another relevant and similar work existing in literature. Extensive performance simulations, in terms of nodes' classification, attacks' identification, data accuracy, energy consumption, and signalling overhead, have been carried out in order to demonstrate the better feasibility and efficiency of the proposed solution in WSN field.

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Preserving users' privacy for continuous query services in road networks

Cited by 25 publications

References 6 publications

Authentication User’s Privacy: An Integrating Location Privacy Protection Algorithm for Secure Moving Objects in Location Based Services

Authentication User’s Privacy: An Integrating Location Privacy Protection Algorithm for Secure Moving Objects in Location Based Services

SNR based secure communication via untrusted amplify-and-forward relay nodes using artificial noise

Performance Comparison of Reputation Assessment Techniques Based on Self-Organizing Maps in Wireless Sensor Networks

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