Mitigation of Insider Attacks through Multi-Cloud

The malicious insider can be an employees, user and/or third party business partner. In cloud environment, clients may store sensitive data about their organization in cloud data centers. The cloud service provider should ensure integrity, security, access control and confidentiality about the stored data at cloud data centers. The malicious insiders can perform stealing on sensitive data at cloud storage and at organizations. Most of the organizations ignoring the insider attack because it is harder to detect and mitigate. This is a major emerging problem at the cloud data centers as well as in organizations. In this paper, we proposed a method that ensures security, integrity, access control and confidentiality on sensitive data of cloud clients by employing multi cloud service providers. The organization should encrypt the sensitive data with their security policy and procedures and store the encrypted data in trusted cloud. The keys which are used during encryption process are again encrypted and stored in another cloud area. So that organization contains only keys for keys of encrypted data. The Administrator of organization also does not know what data kept in cloud area and if he accesses the data, easily caught during the auditing. Hence, the only authorized used can access the data and use it and we can mitigate insider attacks by providing restricted privileges

Stochastic Control and Analysis of Two-node Tandem Communication Network Model with DBA and Binomial Bulk Arrivals with Phase Type Transmission

Communication Systems are governed by several random factors. In packetized communication systems, the system performance is controlled by arrival pattern and Transmission strategy. In this paper, we introduced and analyse a two node communication network with the assumption that the arrivals are characterized by compound binomial Poisson process. Here, it is further assumed that the Dynamic bandwidth Allocation strategy of transmission is adopted and the two nodes are connected in tandem with phase type transmission in each node. The system performance is analysed by deriving the explicit expressions for the performance measures and numerical illustrations. It is observed that the bulk arrival distribution parameters and Dynamic Bandwidth Allocation Strategy can reduce the delays in transmission and burstness of buffers. With suitable cost considerations the optimal operating policies of the network are also discussed. This network can approximate the performance parameters of the system more close to the reality at places like LAN, WAN, MAN and ATM scheduling

SUB LETHAL EFFECTS OF MALATHION (AN ORGANOPHOSPHATE) ON BIOCHEMICAL PARAMETERS OF FRESH WATER FISH Labeo rohita (HAMILTON)

The present investigation was undertaken to study the toxic effect of the insecticide Malathion (an Organo phosphate- pesticide) on biochemical parameters of the fresh water fish Labeo rohita (Hamilton). The fish were exposed to sub lethal concentration of the insecticide Malathion and the variations were observed on different parameters i.e. proteins, carbohydrates and ninhydrine positive substances (FAA) at different time intervals i.e. 24, 48, 72 and 96 hrs of Malathion exposure from different tissues of fish Labeo rohita i.e. gill, liver, intestine, muscle and brain. The results revealed that biochemical constituents i.e. proteins, carbohydrates and ninhydrine positive substances were decreased in all the tissues of L.rohita. The toxic nature of insecticide Malathion was found to be more after 48 hrs of exposure as highest % of decease  was found in biochemical constituents of all the tissues

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Not AvailableHailstorms cause enormous physical damage in agriculture, often result in disasters leading to widespread, sudden loss in harvestable produce, and at times entire loss to grownup orchards. Accurate area-wide crop damage assessment is a challenging task to provide timely relief to farmers. This study demonstrates the feasibility of using multispectral satellite data for mapping crop-damaged area, identification of hailstreaks, their ground track attributes using NDVI difference of pre and post-hailstorm events. Crop classification within hailstreak was performed using a multispectral, high resolution LISS-IV satellite data from IRS-Resourcesat-2. Six hailstorm-damaged streaks were examined in the study area, varying in width ranging from 3 to 8 km, and length ranging from 6 to 33 km. Maximum area damaged was in grapes, followed by sugarcane and papaya. Changes in NDVI profile of different crops in the study area was recorded, and a model was developed for estimating changes in NDVI due to hail damage. The crop classification error matrix indicated Kappa Coefficient (0.55) with an overall classification accuracy of 69.6%. This study discusses the potential of high spectral, spatial and temporal resolution remote sensing data for crop damage assessment in the aftermath of the hailstorms. (C) 2018 National Authority for Remote Sensing and Space Sciences. Production and hosting by Elsevier B.V.Not Availabl

A Comparative Study of Chemically and Biologically Synthesized MgO Nanomaterial for Liquefied Petroleum Gas Detection

The exceptional chemical and physical properties of nanostructured materials are extremely suitable for designing new and enhanced sensing devices, particularly gas sensors and biosensors. The present work describes the synthesis of magnesium oxide (MgO) nanoparticles through two methods: a green synthesis using aloe vera plant extract and a chemical method using a glycine-based solution combustion route. In a single step, the extracted organic molecules from aloe vera plants were used to reduce metal ions by the green method. MgO nanoparticles were coated onto the interdigital electrode using the drop-drying method. The dynamic gas-sensing characteristics were measured for liquefied petroleum gas (LPG) at different concentrations and various temperatures. The MgO nanoparticles were characterized by using x-ray diffraction, field emission scanning electron microscopy, and high-resolution transmission electron microscopy to determine the size and structure of the particles. The product’s functional properties were analyzed by Fourier transform-infrared spectroscopy and UV–visible spectroscopy. We found that the LPG sensing behavior of biologically synthesized MgO registers excellent sensitivity at various operating temperatures.Scopu