A wireless sensor network is an application-specific data acquisition network where sensors are required to sense their vicinity (sensing coverage) continuously with severely limited resources such as energy, computational power, memory, and wireless communication bandwidth. In particular, replenishing energy may not often be possible. Moreover, due to high implementation cost, sensor nodes are not usually equipped with tamper-resistant hardware such that adversaries can easily capture sensor nodes and generate large amounts of their replicas in order to paralyze the network. More......

 

      Motivated by the fact that a compromised sensor is most likely to be first detected by its fellow neighboring nodes, we introduce the concept of local collaboration during the process of group key distribution. In the proposed scheme, a sensor node is not able to obtain the secret key solely based on the broadcast message and its pre-deployed secret share. Rather, it has to seek for collaboration from its fellow sensor nodes. More .....

Ali R. Hurson  Heterogenous and Mobile Databases

       Much of the data that is collected and mined today is structural, consisting not only of entities but also of relationships between the entities. As a result, a need exists to develop methods for discovering knowledge and learning concepts specifically for this
               

Abstract:
       Information filtering includes monitoring text streams to detect patterns that are more complex than those handled by search engines. Text stream monitoring and pattern detection have far reaching applications such as tracking information flow among terrorist outfits, web parental control, and business intelligence. Pattern characterization requirements of the applications entail an expressive language for specifying patterns than what is currently provided by Information Retrieval Query Languages (IRQLs) and
current information filtering systems. More ....
      

      Information acquired by large number of heterogeneous sensors needs to be integrated in a proactive, intelligent, and situation-aware manner to predict the occurrence of events (including security) in the PSI framework. In this project, we investigate the applicability of sensors significantly, by deploying collaborating software agents that meet the needs of dynamic applications. Two major challenges for proactive and real time collaboration among agents are (1) heterogeneity of sensors, information representation and granularity and (2) fusion of uncertain, redundant, complementary and time sensitive information from various sensors. More..