Despite continued innovations in design of I/O systems, I/O performance has not kept pace with the progress in processor and communication technology. This paper addresses this I/O problem from a compiler’s perspective, and presents an I/O optimization strategy based on access pattern and storage form (file layout) detection. The objective of our optimization strategy is to determine storage fo...

Searchable Encryption (SE) allows a user to upload data to the cloud and to search it in a remote fashion while preserving the privacy of both the data and the queries. Recent research results describe attacks on SE schemes using the access pattern, denoting the ids of documents matching search queries, which most SE schemes reveal during query processing. However SE schemes usually leak more t...

Current distributed publish/subscribe systems assume that all participants have similar QoS requirements and equally contribute to the system’s resources. However, inmany real-world applications, themessage delay tolerance of individual peers may differ widely. Disseminating messages according to individual delay requirements not only allows for the satisfaction of user-specific needs but also ...

The increasing ubiquity of Internet access and the frequency with which people interact with it raise the possibility of using the Web to better observe, understand, and monitor several aspects of human social behavior. Web sites with large numbers of frequently returning users are ideal for this task. If these sites belong to companies or universities, their usage patterns can furnish informat...

The use of Identity Management (IdM) may leverage the trust in a distributed Publish-Subscribe (PubSub) system. An IdM provides mutual authentication between publishers, subscribers and message routers, enforces access control on message delivery and integrity control of message content. Access control is also a means to reduce traffic in a PubSub network since unauthorized message traffic will...

The goal of machine learning is to provide solutions which are trained by data or by experience coming from the environment. Many training algorithms exist and some brilliant successes were achieved. But even in structured environments for machine learning (e.g. data mining or board games), most applications beyond the level of toy problems need careful hand-tuning or human ingenuity (i.e. dete...

To secure computing in pervasive environment, an adaptive trust and recommendation based access control model (based on human notion of trust) is proposed. The proposed model provides support to calculate direct as well as indirect trust based on recommendations. It handles situations (by itself) both in which the requesting entity has a past experience with the service and a stranger entity re...

In this paper we present a new method for self-localization on wafers using geometric hashing. The proposed technique is robust to image changes induced by process variations, as opposed to the traditional, correlation based methods. Moreover, it eliminates the need in training on reference patterns. Two enhancements are introduced to the basic geometric hashing scheme improving its performance...

Introduction: Direct neuronal current imaging is a method that could potentially provide direct access to neuronal activity with an excellent spatial (mm) and temporal resolution (ms) [1-3]. However, so far it has not been convincingly demonstrated that MRI has adequate sensitivity to detect neuronal currents in vivo. In order to pin down the most influential factors in the signal formation, wi...