Degree-Based Clustering Algorithms for Wireless Ad Hoc Networks Under Attack

In this paper we investigate the behavior of degree-based clustering algorithms with respect to their stability and attack-resistance. Our attack scenario tries to bias the clustering head selection procedure by sending faulty degree claims. We propose a randomized variant of the highest degree algorithm which is proved, through experimental results, attack-resistant without imposing significant overhead to the clustering performance. In addition, we extend our proposal with a cooperative consistent clustering algorithm which integrates security into the clustering decision achieving attacker identification and classification

Adaptation of a Conference Key Distribution System for the Wireless Ad Hoc Network

In this paper we review previous works done with respect to Conference Key Distribution Systems (CKDS). We focus on the system proposed by Kim et al. and we propose improvements on that scheme a) from the perspective of security and anonymity, b) from the perspective of efficient calculation of the Lagrange polynomial coefficients, and c) from the perspective of adaptation into the dynamic wireless ad hoc network. The security of the proposed scheme is based on the difficulty of computing discrete logarithms over elliptic curves, the intractability of inverting a one-way hash function and the pseudo-randomness of user coordinates. We demonstrate the effectiveness of the proposed scheme through the analysis of characteristic attack scenarios

Identification of cancer predisposition variants in apparently healthy individuals using a next-generation sequencing-based family genomics approach

Cancer, like many common disorders, has a complex etiology, often with a strong genetic component and with multiple environmental factors contributing to susceptibility. A considerable number of genomic variants have been previously reported to be causative of, or associated with, an increased risk for various types of cancer. Here, we adopted a next-generation sequencing approach in 11 members of two families of Greek descent to identify all genomic variants with the potential to predispose family members to cancer. Cross-comparison with data from the Human Gene Mutation Database identified a total of 571 variants, from which 47 % were disease-associated polymorphisms, 26 % disease-associated polymorphisms with additional supporting functional evidence, 19 % functional polymorphisms with in vitro/laboratory or in vivo supporting evidence but no known disease association, 4 % putative disease-causing mutations but with some residual doubt as to their pathological significance, and 3 % disease-causing mutations. Subsequent analysis, focused on the latter variant class most likely to be involved in cancer predisposition, revealed two variants of prime interest, namely MSH2 c.2732T>A (p.L911R) and BRCA1 c.2955delC, the first of which is novel. KMT2D c.13895delC and c.1940C>A variants are additionally reported as incidental findings. The next-generation sequencing-based family genomics approach described herein has the potential to be applied to other types of complex genetic disorder in order to identify variants of potential pathological significance

On 3D Reconstruction of Porous Media by Using Spatial Correlation Functions

The challenging process of 3D porous media reconstruction from a single 2D image is investigated in this paper. The reconstruction of the 3D model is based on the statistical information derived from a 2D thin image of the material, by applying a spatial correlation function. For the first time, this paper reviews the commonly used auto-correlation functions for material characterization and discusses their properties making them useful for 3D porous media reconstruction. A set of experiments is conducted in order to analyze the reconstruction capabilities of the studied correlation functions, while some useful conclusions are drawn. Finally, by taking into account the reconstruction performance of the existed correlation functions, some desirable properties that need to be satisfied by an ideal correlation function towards the improvement of the reconstruction accuracy are determined