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Due to massive advantages of short range communication technologies such as NFC and RFID, they are ubiquitously utilized in many fancy and sensitive applications. During last decade, there have been impressive endeavors to design efficient authentication protocols which can provide secure and anonymous communication for end-users. In this research, we formally analyze a recently improved authentication...
Cloud computing is attracting increasing attention since it enables clients with limited computing resources to perform and complete large-scale computations. However, it also comes up with some security and privacy concerns and challenges, such as the input and output privacy of the client, and cheating behaviors of the cloud. Motivated by these issues and focused on engineering optimization tasks,...
For a long time, the sensitivity and criticality of data storage, processing, and transmission have hindered the wide utilization of IT and networks in the health care systems. Recently, the high availability, reachability, reliability, efficiency, usability and automation provided by the different cloud computing models paved the way to integrate the e-health systems with these cloud services to...
In recent times, the electronic health record (eHealth) system is regarded as one of the biggest developments in healthcare domains. An eHealth system needs to be agile, reliable, and sustainable. Although the existing Personally Controlled Electronic Health Record (PCEHR) systems are claimed to be fully controlled by the patients, there are ways where the healthcare professionals and the database/system...
Precision agriculture relies on real-time data gathering and analysis to maximize yield, minimize environmental impact and reduce cost, which has been envisioned as a new paradigm to revolutionize modern agriculture. However, the collection of farming data, especially geospatial data, raises concerns about potential privacy leakage. In this paper, we propose a novel scalable and private continual...
We consider the problem of a client efficiently, privately and securely delegating the computation of multiple group exponentiations to a computationally more powerful server (e.g. a cloud server). We provide the first practical and provable solutions to this batch delegation problem for groups commonly used in cryptography, based on discrete logarithm and RSA hardness assumptions. Previous results...
We show that it is possible to achieve information theoretic location privacy for secondary users (SUs) in database-driven cognitive radio networks (CRNs) with an end-to-end delay less than a second, which is significantly better than that of the existing alternatives offering only a computational privacy. This is achieved based on a keen observation that, by the requirement of Federal Communications...
In the recent years, we have observed the development of several connected and mobile devices intended for daily use. This development has come with many risks that might not be perceived by the users. These threats are compromising when an unauthorized entity has access to private big data generated through the user objects in the Internet of Things. In the literature, many solutions have been proposed...
Pervasive usage and wide-spread sharing of Electronic Health Records (EHRs) in modern healthcare environments has resulted in high availability of patients' medical history from any location and at any time, which has potential to make health care services both cheaper and of higher quality. However, EHRs contain huge amounts of sensitive information which should be protected from unauthorized accesses,...
The use of Bluetooth Low Energy (BLE) recently became famous in crowd localization services. In this article we show that such service induces significant threats and we propose a scheme that achieves privacy preserving crowd localization. Crowd localization applications leverage all their users to perform periodic BLE scan and detect the nearby tracked devices. The users run a smartphone application...
With the spread of social networks and mobile applications (apps), the amount of sensitive information shared across Internet increased considerably. Although the majority of this information is encrypted, many apps still transmit sensitive data in plain text, e.g., using HTTP (HyperText Transfer Protocol). Seemingly trivial information, if collected together, can leak out important data about a user...
We propose a privacy preserving mobile advertising system for in-app ad placement, that enables user profiling and targeted ads without revealing user interests to the mobile advertising companies. Our proposal relies on device-based user profiles, derived from app activity, on the use of Private Information Retrieval (PIR) to query ads database(s) for matching (to profile) ads, without the database(s)...
Attribute-based encryption schemes provide read access to data based on users' attributes. In these schemes, user privacy is compromised as the access policies are visible. This privacy issue has been addressed in literature by enabling the data owner to obfuscate the policy in a setting where a single authority generates decryption keys. However, a single authority can figure out the hidden access...
Spatial crowdsourcing engages individuals to collect and process social, environmental and other information with spatio-temporal features, making the data collection and analysis efficient, scalable and smart. The quality of task fulfillment strongly depends on the set of recruited workers. The more suitable workers are engaged, the better results may be obtained, meanwhile, the more privacy of workers...
The Internet of Things(IoT) has been developing rapidly since the past decade. It is becoming a crucial part of everyday life. It is becoming a way of living in which machines perform activities on their own by communicating with each other, without the need for human beings to instruct them. In such a scenario, which concerns daily life, privacy, and secrecy should be of at most priority. Since in...
The article is devoted to the search for ways to protect the data privacy for Internet of things. Different technologies and algorithms of privacy protection are considered, their computing and energy intensity is investigated. Prototyping is performed on the FPGA of the Internet of things. Searching for ways to minimize energy consumption and computing costs of the Internet of things with algorithms...
The introduction of the WebRTC API to modern browsers has brought about a new threat to user privacy. WebRTC is a set of communications protocols and APIs that provides browsers and mobile applications with Real-Time Communications (RTC) capabilities over peer-to-peer connections. The WebRTC API causes a range of client IP addresses to become available to a visited website via JavaScript, even if...
Tor is the most widely used anonymity network, currently serving millions of users each day. However, there is no access control in place for all these users, leaving the network vulnerable to botnet abuse and attacks. For example, criminals frequently use exit relays as stepping stones for attacks, causing service providers to serve CAPTCHAs to exit relay IP addresses or blacklisting them altogether,...
In this paper, we propose a novel secure and privacy-preserving scheme for enhancing security in vehicular cloud based tasks announcement. The proposed scheme uses an efficient multiple receiver signcryption technique with proxy re-encryption in order to prevent the private information of the vehicles from being disclosed during task announcement. By integrating the proxy re-encryption algorithm with...
Ongoing research in the field of positioning in cellular devices has led to several Location Based Services (LBSs) and its application flooding the market. However, these applications are neglecting user privacy in order to generate highly accurate results for user queries. While most traditional Location Based Service use the K-anonymity principle to blur user?s exact location information, these...
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