A Survey on Spoofing and Selective Forwarding Attacks on Zigbee based WSN

The main focus of WSN is to gather data from the physical world. It is often deployed for sensing, processing as well as disseminating information of the targeted physical environments. The main objective of the WSN is to collect data from the target environment using sensors as well as transmit those data to the desired place of choice. In order to achieve an efficient performance, WSN should have efficient as well as reliable networking protocols. The most popular technology behind WSN is Zigbee. In this paper a pilot study is done on important security issues on spoofing and selective forwarding attack on Zigbee based WSN. This paper identifies the security vulnerabilities of Zigbee network and gaps in the existing methodologies to address the security issues and will help the future researchers to narrow down their research in WSN.Keywords: Zigbee, WSN, Protocol Stack, Spoofing and Selective Forwarding

Fuzzy super resolving number and resolving number of some special graphs

Resolving number of a graph was introduced by Slater in the year 1975, which is used to navigate the position of the robot uniquely in a graph-structured framework. In this paper, we introduce fuzzy super resolving set, fuzzy super resolving number and certain crisp graph with ʹ2nʹ vertices and resolving number ʹnʹ , whose resolving set form a basis for Rⁿ.Publisher's Versio

On regular fuzzy resolving set

In a fuzzy graph G, if the degree of each vertex is the same, then it is called a regular fuzzy graph. The representation of σ − H with respect to the subset H of σ are all distinct then H is called the resolving set of the fuzzy graph G(V, σ, µ). In this article, we define a regular fuzzy resolving set, regular fuzzy resolving number and the properties of a regular fuzzy resolving set in a fuzzy graph whose crisp graph is a cycle, even or odd. And also we prove that, if G be a regular fuzzy graph with G* is a cycle, then any minimum fuzzy resolving set of G is a regular fuzzy resolving set of G.Emerging Sources Citation Index (ESCI)MathScinetScopu

Investigation of keratinase activity by thermo-alkanophilic Nocardiopsis sp. SD6 isolated from feather waste soil / Subhasish Saha... [et. al.]

The aim of the study was to isolate keratinolytic actinobacteria from feather waste soil, poultry farm soil in Tiruchirappalli and Nammakkal District, Tamil Nadu, India and their keratinase activity were investigated by feather degradation. Totally 91 isolates were obtained from feather waste soil and poultry waste soil samples. Among the 91 isolates, 32 positive isolates were selected after grown on modified starch casein agar (SCA) medium with additional casein. All 32 proteolytic isolates were subjected for casein hydrolysis and four significant isolates were selected based on their growth on basal liquid medium containing chicken feather. The isolate SD6 was tentatively identified one of the best among 4 isolates. The isolate SD6 was characterized by morphological, biochemical and molecular property inducing 16s rRNA analysis based and has been identified as Nocardiopsis sp. SD6 (JF907189). The isolate was grown on modified starch casein broth (SCB). Supernatant from centrifuged culture was examined for protease and keratinase activity. The optimum temperature and pH for enzyme activity for both proteolytic and keratinolytic was found at 50°C, pH 8 respectively. Extracellular keratinase enzyme was separated from the culture supernatant by centrifugation and precipitated with ammonium sulphate (80% saturation) and followed by dialysis using dialysis membrane 150. Native PAGE was performed with the enzyme sample and visible bands were observed after de-staining. Zymogram gel electrophoresis was employed to identify the keratinase enzymes band and three bands in the gel were found with positive keratinase activity

Free-text keystroke dynamics authentication for Arabic language

This study introduces an approach for user authentication using free-text keystroke dynamics which incorporates text in Arabic language. The Arabic language has completely different characteristics to those of English. The approach followed in this study involves the use of the keyboard's key-layout. The method extracts timing features from specific key-pairs in the typed text. Decision trees were exploited to classify each of the users' data. In parallel for comparison, support vector machines were also used for classification in association with an ant colony optimisation feature selection technique. The results obtained from this study are encouraging as low false accept rates and false reject rates were achieved in the experimentation phase. This signifies that satisfactory overall system performance was achieved by using the typing attributes in the proposed approach, while typing Arabic text

APPLICATION OF VARIOUS OPEN SOURCE VISUALIZATION TOOLS FOR EFFECTIVE MINING OF INFORMATION FROM GEOSPATIAL PETROLEUM DATA

This study emphasizes the use of various tools for visualizing geospatial data for facilitating information mining of the global petroleum reserves. In this paper, open-source data on global oil trade, from 1996 to 2016, published by British Petroleum was used. It was analysed using the shapefile of the countries of the world in the open-source software like StatPlanet, R and QGIS. Visualizations were created using different maps with combinations of graphics and plots, like choropleth, dot density, graduated symbols, 3D maps, Sankey diagrams, hybrid maps, animations, etc. to depict the global petroleum trade. Certain inferences could be quickly made like, Venezuela and Iran are rapidly rising as the producers of crude oil. The strong-hold is shifting from the Gulf countries since China, Sudan and Kazakhstan have shown a high rate of positive growth in crude reserves. It was seen that the global oil consumption is not driven only by population but by lifestyle also, since Saudi Arabia has a very high rate of per-capita consumption of petroleum, despite very low population. India and China have very limited oil reserves, yet have to cater to a large population. These visualizations help to understand the likely sources of crude and refined petroleum products and to judge the flux in the global oil reserves. The results show that geodata visualization increases the understanding, breaks down the complexity of data and enables the viewer to quickly digest the high volumes of data through visual association