Papers by Keyword: Privacy

Abstract: The increase in privacy concerns and the introduction of privacy and data protection legislation compel organisations to reevaluate their practices regarding traditional machine learning. The aggregation and management of users’ private data on the central server may contravene regulations if not properly administered. Federated learning provides a technique that eliminates the necessity of uploading users’ data to the server. It facilitates substantial learning by collaboratively training on each client’s devices and pooling the model gradient changes. Federated learning, augmented with a proxy as an intermediary and encrypted model parameters, will enhance anonymity, privacy, and data protection against malicious threats, including membership inference adversaries. Nonetheless, encrypted data incurs costs for customers’ communication and data size that exceed twice the original size. Our paper seeks to resolve these issues. We present two secure approaches for effective communication in an anonymous encrypted federated learning framework as our contribution. Additionally, our experiments demonstrated that it is feasible to attain equivalent communication costs as in non-encrypted scenarios. We provide recommendations in the conclusion for the effective implementation of privacy-preserving federated learning in the area of personal devices.

Abstract: In this paper, we describe some privacy threats in the Internet of Things and some research works on privacy protection. We present a new scheme base on cryptosystem to protect privacy in the Internet of Things. The scheme includes location privacy protection, data privacy homomorphism mechanism and information hiding technology, and secure multi-party computation on data privacy.

Abstract: Wearable device was once developed which caused everybody's attention. Is it update or revolution for mobile terminal It has a lot of characteristics which the current mobile terminal do not have. Of course, it also has some shortcomings, even hidden danger.

Abstract: In the big data era, the security and protection of users’ privacy have become a research focus of libraries, especially the protection for users’ data privacy is of vital importance. This paper analyzes and discusses the features of libraries in big data era, discusses the influence of big data era on information security of libraries, and proposes big data-related scientific problems which shall be solved in terms of information security.

Abstract: Individuals’ privacy protection when publishing data for research has recently put great attention on data mining and information resources sharing fields. Privacy preservation is an important and challenging problem in micro-data publishing. This paper aimed to find an available directly way protect patient privacy. Processing numeric values which got from body sensor network (BSN). Firstly, we analyze the characteristics of medical data which collected from BSN, and then the records will be grouped according to the Quasi-identifier. The last step is to inspect the diversity of sensitive attributes.

Abstract: With the development of the supply chain industry, the application environment has become increasingly complex, and the security demands in RFID communication are also increasing. This paper analyzes the problems and security requirements of node authentication, message accuracy and privacy protection, etc., proposes an RFID secure communication algorithm based on random numbers describing the algorithm for nodes query generation and node processing forwards. Experimental results show that the proposed algorithm has higher accuracy.

Abstract: As wide applications of wireless sensor networks, privacy concerns have emerged as the main obstacle to success. When wireless sensor networks are used to battlefield, the privacy about sink-locations become a crux issue. If sink location will be exposed to adversary, the consequence is inconceivable. Random data collection scheme has a problem that message latencies become larger higher for protecting mobile-sink-locationprivacy .In this paper, BDRW (Bidirectional Random Walk) is proposed to preserve mobile-sink-location privacy. In BDRW, data are forwarded by directional random walk and stored at pass nodes in the network, the sink move in directional random walk to collect data from the local nodes occasionally, which prevents the attackers from predicting their locations and movements. Compared to random data collection scheme, BDRW has smaller message latencies, while providing satisfactory mobile-sink-location privacy.

Abstract: The widespread deployment of smart meters for the modernization of the electricity distribution network has been associated with privacy concerns due to the potentially large number of measurements that reflect the consumers’ behavior. At the same time, how to extract important knowledge from the potentially large of measurements — these measurements are spilt among various parties, has already became a hot topic in the field of data mining. In this paper, we present protocols that can be used to compute meter measurements over defined sets of meters without revealing any additional about the individual meter readings, and address secure mining of association rules. Thus, most of the benefits of the smart grid can be achieved without revealing individual data.

Abstract: Vehicular Ad-hoc NETwork (VANET) is an emerging technology. The integration of NEMO (NETwork MObility) with VANET is known as NEMO based VANETs. This combination supports the communication between the RSU (Road Side Unit) and Vehicles to provide the internet access through the public hotspots inside the public transportation systems. The travelers inside these systems can enjoy full internet access by using different Mobile Network Nodes (MNNs). Due to open nature of wireless system the physical layer attack can easily localize the MNNs by measuring their Received Signal Strength (RSS). The proposed system deals with the power variability and concealment techniques and propose the hybrid privacy preserving scheme to prevent the attackers from localizing the MNNs inside Nested NEMO based VANETs hotspots. The main aim of this proposed system is to make more confusion on the measurement of RSS and, hence, preserve the privacy at physical layer. The simulation is achieved by the integration of Vanet Mobisim and NS-2. In addition, our proposed scheme can be practically implemented due to having many MNNs that select the same fake point and, hence, increase estimation error on RSS measurement by the attacker. Key words: NEMO, Nested NEMO, Privacy, RSS, VANET

Abstract: As for Chinese express industry, it is high time to effectively protect consumers private information. Nowadays, the popular solution is to take two-dimensional codes as the carrier to directly encrypt and store consumers private information. However, this paper hasnt followed the old routine and seperated the privacy flow from the courier and item flow. Based on the Mobile Internet, Android Application and Cloud Storage, it redesigns traditional courier receipt, stores consumers private information in securer Cloud servers and realizes the Zero Rate of Exposure of consumers private information in the circulating process with two-dimensional codes as the key entrance connecting online servers and offline users. After practical tests, this system succeeds in securing the circulation of consumers privacy on courier receipts. Whats more, it can automatically update logistic information and improve the efficiency of sorting and delivering.