Protecting the Communication Structure in Sensor Networks

In the near future wireless sensor networks will be employed in a wide variety of applications establishing ubiquitous networks that will pervade society. The inherent vulnerability of these massively deployed networks to a multitude of threats, including physical tampering with nodes exacerbates concerns about privacy and security. For example, denial of service attacks (DoS) that compromise or disrupt communications or target nodes serving key roles in the network, e.g. sink nodes, can easily undermine the functionality as well as the performance delivered by the network. Particularly vulnerable are the components of the communications or operation infrastructure. Although, by construction, most sensor network systems do not possess a built-in infrastructure, a virtual infrastructure, that may include a coordinate system, a cluster structure, and designated communication paths, may be established post-deployment in support of network management and operation. Since knowledge of this virtual infrastructure can be instrumental for successfully compromising network security, maintaining the anonymity of the virtual infrastructure is a primary security concern. Somewhat surprisingly, in spite of its importance, the anonymity problem has not been addressed in wireless sensor networks. The main contribution of this work is to propose an energy-efficient protocol for maintaining the anonymity of the virtual infrastructure in a class of sensor network systems. Our solution defines schemes for randomizing communications such that the cluster structure, and coordinate system used remain undetectable and in visible to an observer of network traffic during both the setup and operation phases of the network

The secretome analysis of activated human renal fibroblasts revealed beneficial effect of the modulation of the secreted peptidyl-prolyl cis-trans isomerase A in kidney fibrosis

The secretome is an important mediator in the permanent process of reciprocity between cells and their environment. Components of secretome are involved in a large number of physiological mechanisms including differentiation, migration, and extracellular matrix modulation. Alteration in secretome composition may therefore trigger cell transformation, inflammation, and diseases. In the kidney, aberrant protein secretion plays a central role in cell activation and transition and in promoting renal fibrosis onset and progression. Using comparative proteomic analyses, we investigated in the present study the impact of cell transition on renal fibroblast cells secretome. Human renal cell lines were stimulated with profibrotic hormones and cytokines, and alterations in secretome were investigated using proteomic approaches. We identified protein signatures specific for the fibrotic phenotype and investigated the impact of modeling secretome proteins on extra cellular matrix accumulation. The secretion of peptidyl-prolyl cis-trans isomerase A (PPIA) was demonstrated to be associated with fibrosis phenotype. We showed that the in-vitro inhibition of PPIA with ciclosporin A (CsA) resulted in downregulation of PPIA and fibronectin (FN1) expression and significantly reduced their secretion. Knockdown studies of PPIA in a three-dimensional (3D) cell culture model significantly impaired the secretion and accumulation of the extracellular matrix (ECM), suggesting a positive therapeutic effect on renal fibrosis progression