Rough Set-hypergraph-based Feature Selection Approach for Intrusion Detection Systems

Immense growth in network-based services had resulted in the upsurge of internet users, security threats and cyber-attacks. Intrusion detection systems (IDSs) have become an essential component of any network architecture, in order to secure an IT infrastructure from the malicious activities of the intruders. An efficient IDS should be able to detect, identify and track the malicious attempts made by the intruders. With many IDSs available in the literature, the most common challenge due to voluminous network traffic patterns is the curse of dimensionality. This scenario emphasizes the importance of feature selection algorithm, which can identify the relevant features and ignore the rest without any information loss. In this paper, a novel rough set κ-Helly property technique (RSKHT) feature selection algorithm had been proposed to identify the key features for network IDSs. Experiments carried using benchmark KDD cup 1999 dataset were found to be promising, when compared with the existing feature selection algorithms with respect to reduct size, classifier’s performance and time complexity. RSKHT was found to be computationally attractive and flexible for massive datasets

Unified customer service interactions

A server device configured to receive first-information associated with a call that was received by a first server device; receive second-information associated with the call, where the second-information is associated with processing of the call by the first server device and at least one second server device; generate a unified record associated with the call, where the unified record includes at least some of the first-information and at least some of the second-information; determine, based on the unified record, that a condition exists with respect to the call; and send an instruction to perform a customer operation with respect to the call when the condition is determined to exist, where the customer operation includes increasing a priority for handling of the call by a customer service agent

A Reverse Logistics Network Model for Handling Returned Products

58827Due to the emergence of e-commerce and the proliferation of liberal return policies, product returns have become daily routines for many companies. Considering the significant impact of product returns on the company’s bottom line, a growing number of companies have attempted to streamline the reverse logistics process. Products are usually returned to initial collection points (ICPs) in small quantities and thus increase the unit shipping cost due to lack of freight discount opportunities. One way to address this issue is to aggregate the returned products into a larger shipment. However, such aggregation increases the holding time at the ICP, which in turn increases the inventory carrying costs. Considering this logistics dilemma, the main objectives of this research are to minimize the total cost by determining the optimal location and collection period of holding time of ICPs; determining the optimal location of a centralized return centre; transforming the nonlinear objective function of the proposed model formulation by Min et al. (2006a) into a linear form; and conducting a sensitivity analysis to the model solutions according to varying parameters such as shipping volume. Existing models and solution procedures are too complicated to solve real-world problems. Through a series of computational experiments, we discovered that the linearization model obtained the optimal solution at a fraction of the time used by the traditional nonlinear model and solution procedure, as well as the ability to handle up to 150 customers as compared to 30 in the conventional nonlinear model. As such, the proposed linear model is more suitable for actual industry applications than the existing models.S

Mitochondrial DNA variation in the endangered fish Dawkinsia tambraparniei (Actinopterygii: Cypriniformes: Cyprinidae) from southern Western Ghats, India

Background. Dawkinsia tambraparniei (Silas, 1954) is confined to an area not exceeding 100 km2 within a single watershed—the Tamiraparani River, southern Western Ghats, India. Its populations have recently declined, earning the fish the endangered status. For effective conservation efforts it is important to determine the levels of genetic variation between different populations. Therefore we attempted to quantify the cytochrome b (Cyt b) and cytochrome c oxidase subunit I (COI) gene sequence similarity between different populations of D. tambraparniei, as well as to study the phylogenetic relation with the closely related species D. arulius and D. filamentosa. Materials and methods. Samples were collected from 9 locations and 10 individuals from each were preserved for DNA analysis. The partial sequence of Cyt b and COI genes were amplified and sequenced. The sequences were aligned by the visual method using BioEdit version 7.1.3.0 and edited using Sequencer 4.7. The Bayesian consensus tree was constructed using the Monte Carlo Markov Chain (MCMC) method by BEAST v1.7.5. Results. The partial sequences of Cyt b and COI from 90 specimens of Dawkinsia tambraparniei representing nine populations were examined. The Cyt b gene sequences showed that all populations belong to a single haplotype and no nucleotide variation was observed between populations. In the case of COI gene sequences, two haplotypes were revealed: an additional haplotype with a clear transition of C to T at the nucleotide 58 position was detected within the Thalayanai Stream population. The phylogenetic analysis of COI gene demonstrated that the pair wise genetic distance between D. tambraparniei and D. arulius was low (0.004 ± SE 0.003) when compared with the distance between D. tambraparniei and D. filamentosa (0.061 ± SE 0.012). Conclusion. The mitochondrial DNA analysis revealed very low diversity among investigated populations of D. tambraparniei for studied genes, with the only local population from the Thalayanai Stream demonstrating certain divergence. The phylogenetic analysis confirms the concept on the validity of D. tambraparniei as a separate species. This phylogenetic study also demonstrated that D. tambraparniei is closer to D. arulius, followed by D. filamentosa

Mitochondrial DNA variation in the endangered fish Dawkinsia tambraparniei (Actinopterygii: Cypriniformes: Cyprinidae) from southern Western Ghats, India

Background. Dawkinsia tambraparniei (Silas, 1954) is confined to an area not exceeding 100 km2 within a single watershed—the Tamiraparani River, southern Western Ghats, India. Its populations have recently declined, earning the fish the endangered status. For effective conservation efforts it is important to determine the levels of genetic variation between different populations. Therefore we attempted to quantify the cytochrome b (Cyt b) and cytochrome c oxidase subunit I (COI) gene sequence similarity between different populations of D. tambraparniei, as well as to study the phylogenetic relation with the closely related species D. arulius and D. filamentosa. Materials and methods. Samples were collected from 9 locations and 10 individuals from each were preserved for DNA analysis. The partial sequence of Cyt b and COI genes were amplified and sequenced. The sequences were aligned by the visual method using BioEdit version 7.1.3.0 and edited using Sequencer 4.7. The Bayesian consensus tree was constructed using the Monte Carlo Markov Chain (MCMC) method by BEAST v1.7.5. Results. The partial sequences of Cyt b and COI from 90 specimens of Dawkinsia tambraparniei representing nine populations were examined. The Cyt b gene sequences showed that all populations belong to a single haplotype and no nucleotide variation was observed between populations. In the case of COI gene sequences, two haplotypes were revealed: an additional haplotype with a clear transition of C to T at the nucleotide 58 position was detected within the Thalayanai Stream population. The phylogenetic analysis of COI gene demonstrated that the pair wise genetic distance between D. tambraparniei and D. arulius was low (0.004 ± SE 0.003) when compared with the distance between D. tambraparniei and D. filamentosa (0.061 ± SE 0.012). Conclusion. The mitochondrial DNA analysis revealed very low diversity among investigated populations of D. tambraparniei for studied genes, with the only local population from the Thalayanai Stream demonstrating certain divergence. The phylogenetic analysis confirms the concept on the validity of D. tambraparniei as a separate species. This phylogenetic study also demonstrated that D. tambraparniei is closer to D. arulius, followed by D. filamentosa