In a MANET, nodes communicate with each other by routing data through relay nodes in a multihop manner. Thus, reliable communication is critical to the proper operation of MANETs. Encouraging cooperation and deterring selfish behaviors are important for proper operations of mobile ad hoc networks (MANETs). For this purpose, most previous efforts rely on either […]
A Unified Framework For Dealing With Exact Point-Of-Interest Queries In Dynamic Continental Road Networks
We show that partition-based algorithms developed for point-to-point shortest path computations can be naturally extended to handle augmented queries such as finding the closest restaurant or the best post office to stop on the way home, always ranking POIs according to a user-defined cost function. Our solution allows different trade-offs between indexing effort (time and […]
A Novel Truthful Detection Of Packet Dropping Attacks In Wireless Ad Hoc Networks
In this abstract, we develop an accurate algorithm for detecting selective packet drops made by insider attackers. Our algorithm also provides a truthful and publicly verifiable decision statistics as a proof to support the detection decision. The high detection accuracy is achieved by exploiting the correlations between the positions of lost packets, as calculated from […]
A Homomorphic Linear Authenticator (HLA) Based Public Auditing Architecture For Verify The Truthfulness Of The Packet Loss Information In Wireless Ad Hoc Networks
In a multihop wireless network, nodes cooperate in relaying/routing traffic. An adversary can exploit this cooperative nature to launch attacks. In this abstract, while observing a sequence of packet losses in the network, we are interested in determining whether the losses are caused by link errors only, or by the combined effect of link errors […]
A New Metrics QCS And ME For Participatory Sensing
In this abstract, we tackle the challenge of attracting a regular stream of data contributions of reasonable quality through market-based mechanisms so that useful information can be extracted and passed on to service consumers who would pay for the information. In this abstract, we consider the specific case of participatory sensing whereby people contribute […]
Participatory Sensing With Quality Of Contributed Service And Market Equilibrium Metrics
Participatory sensing has the problem that contributions are sporadic and infrequent. To overcome this, we formulate a market-based framework for participatory sensing with plausible models of the market participants comprising data contributors, service consumers and a service provider. We analyze the market equilibrium and obtain a closed form expression for the resulting QCS at market […]
LEVERAGING THE TAIL TIME FOR BATCHING AND PREFETCHING TO REDUCE ENERGY CONSUMPTION IN CELLULAR NETWORKS
In cellular networks, inactivity timers are used to control the release of radio resources. However, considerable radio resources and battery energy are wasted in the tail time. In this abstract, we proposed TailTheft, which leverages the tail time for batching and pre fetching. Our work is the first to consider using rather than eliminating the […]
LOCX: A NOVEL APPROACH FOR PRESERVING LOCATION PRIVACY IN GEOSOCIAL APPLICATIONS
In this abstract, we propose LocX (short for location to index mapping), a novel approach to achieving user privacy while maintaining full accuracy in location-based social applications (LBSAs from here on-ward). Our insight is that many services do not need to resolve distance-based queries between arbitrary pairs of users, but only between friends interested in […]
LOCATION PRIVACY PRESERVING IN GEOSOCIAL APPLICATIONS
In this abstract, we introduce LocX, a novel alternative that provides significantly improved location privacy without adding uncertainty into query results or relying on strong assumptions about server security. Our key insight is to apply secure user-specific, distance-preserving coordinate transformations to all location data shared with the server. The friends of a user share this […]
LOCX: A NOVEL APPROACH FOR PRESERVING LOCATION PRIVACY IN GEOSOCIAL APPLICATIONS
In this abstract, we propose LocX (short for location to index mapping), a novel approach to achieving user privacy while maintaining full accuracy in location-based social applications (LBSAs from here on-ward). Our insight is that many services do not need to resolve distance-based queries between arbitrary pairs of users, but only between friends interested in […]