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Targeted advertising is a growing area of interest in both business and research community. In mobile communications, related research works focus on the collection of user's personal information by the mobile apps, protection against such data collection, and the implications of additional traffic generated by the ads on the mobile device resource utilization. In this work, we present a novel analysis...
Privacy breaching attacks pose considerable challenges in the development and deployment of Internet of Things (IoT) applications. Though privacy preserving data mining (PPDM) minimizes sensitive data disclosure probability, sensitive content analysis, privacy measurement and user's privacy awareness issues are yet to be addressed. In this paper, we propose a privacy management scheme that enables...
In this paper, we present SecSIFT, a high-performance cloud based image feature detection system for performing Scalar Invariant Feature Transform (SIFT) over private image data without compromising the privacy. In contrast to previous works, we outsource the computation of image feature detection to a set of independent, co-operative cloud servers, and keep the outsourced computation procedures as...
Smart metering is an essential part of the future smart grid but causes privacy issues by collecting sensitive data from households with a high temporal resolution. Peer-based privacy mechanisms can solve this problem through privacy-aware aggregation. The SMART algorithm, originally proposed for wireless sensor networks, is a lightweight approach to this problem. In this paper, we propose to adapt...
Location privacy is an important issue in location-based services. A large number of location cloaking algorithms have been proposed for protecting location privacy of users. However, these algorithms cannot be used in vehicular networks due to constrained vehicular mobility. In this paper, we propose a new method named Protecting Location Privacy with Clustering Anonymization (PLPCA) for location-based...
With the problem that the non-cooperation of selfish nodes causes by location privacy leakage and resource consumption, some researchers proposed a bargaining-based game for cooperative authentication in MANETs. In this game, a fundamental issue is to study how the asking/bidding price affects the cooperative willingness of nodes. To address the problem that the improvement of cooperative willingness...
In present days, where anyone stays online nearly everywhere and everytime, it is crucial from the viewpoint of service providers to collect consumers data, so that questions such as “what kind of advertisement do they click on?”, “what do they buy online?”, “what IP-TV channels do they watch?” and “what do they like to do on social networks?” are answered and some relevant information about the users'...
While the newly envisioned Smart(er) Grid (SG) will result in a more efficient and reliable power grid, its use of fine-grained meter data has widely raised concerns of consumer privacy. In this paper, we propose to implement a data obfuscation approach to preserve consumer privacy and assess its feasibility on large-scale Advanced Metering Infrastructure (AMI) network built upon the new IEEE 802...
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