In this abstract, we propose an unconditionally secure and efficient source anonymous message authentication (SAMA) scheme based on the optimal modified ElGamal signature (MES) scheme on elliptic curves. This MES scheme is secure against adaptive chosen-message attacks in the random oracle model. Our scheme enables the intermediate nodes to authenticate the message so that all […]
COMPETITION AND COOPERATION AMONG CLOUD PROVIDERS USING A NOVEL MODEL
A provider naturally wishes to set a higher price to get a higher revenue; however, in doing so, it also bears the risk of discouraging demand in the future. On the other hand, they also look for the means to cooperate with other providers to reduce the operation cost and therefore improve their final revenue. […]
UNTRUSTED CLOUD ENVIRONMENTS USING SECURE KNN QUERY PROCESSING
Users send their current location as the query parameter, and wish to receive as result the nearest POIs, i.e., nearest – neighbors (NNs). But typical data owners do not have the technical means to support processing queries on a large scale, so they outsource data storage and querying to a cloud service provider. Many such […]
K-NEAREST NEIGHBOUR QUERY PROCESSING IN UNTRUSTED CLOUD ENVIRONMENTS
The emergence of mobile devices with fast Internet connectivity and geo-positioning capabilities has le d to a revolution in customized location – based services (LBS) , where users are enabled to access information about points of interest (POI ) that are relevant to their interests and are also close to their geographical coordinates. Pro b- […]
PRIVATE MATCHING PROTOCOLS BASED ON ASYMMETRIC SOCIAL PROXIMITY FOR ONLINE SOCIAL NETWORKS
In OSNs and Mobile Social Networks (MSNs), many distributed solutions to privately finding the social proximity between two users have been proposed in this abstract. The most common way of determining friendship between two people is through profile matching, i.e. finding out if they have common profile attributes, like interests, symptoms, or some other social […]
ONLINE SOCIAL NETWORKS USING ASYMMETRIC SOCIAL PROXIMITY BASED PRIVATE MATCHING PROTOCOLS
Online Social Networks have redefined the way people interact with existing friends, and more importantly, make new friends. In particular, people can now explore potential friendships via OSNs, by looking for common interests, friends, and symptoms, close geographic proximity, etc., between each other. In this abstract, we leverage community structures to redefine the OSN model […]
COMBINING USER INTEREST AND SOCIAL CIRCLE WITH PERSONALIZED RECOMMENDATION
Recommender system (RS) has been successfully exploited to solve information overload. In E-Commerce, like Amazon, it is important to handling mass scale of information, such as recommending user preferred items and products. With the advent and popularity of social network, more and more users like to share their experiences, such as ratings, reviews, and blogs. […]
PRIVACY-PRESERVING ALGORITHMS FOR DETERMINING AN OPTIMAL MEETING LOCATION FOR MOBILE DEVICES
Privacy of a user’s location or location preferences, with respect to other users and the third-party service provider, is a critical concern in such location-sharing-based applications. Equipped with state-of-the-art smart phones and mobile devices, today’s highly interconnected urban population is increasingly dependent on these gadgets to organize and plan their daily lives. These applications often […]
PERSONALIZED RECOMMENDER SYSTEM COMBINING USER INTEREST AND SOCIAL CIRCLE
In this abstract, three social factors, personal interest, inter-personal interest similarity, and interpersonal influence, fuse into a unified personalized recommendation model based on probabilistic matrix factorization. The personality is denoted by user-item relevance of user interest to the topic of item. To embody the effect of user’s personality, we mine the topic of item based […]
OPTIMAL MEETING LOCATION DETERMINATION ON MOBILE DEVICES FOR PRIVACY
Smartphone technology in urban communities has enabled mobile users to utilize context-aware services on their devices. Service providers take advantage of this dynamic and ever-growing technology landscape by proposing innovative context-dependent services for mobile subscribers. Location-based Services (LBS), for example, are used by millions of mobile subscribers every day to obtain location-specific information. In this […]
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