Cassandra File System Over Hadoop Distributed File System

Cassandra is an open source distributed database management system is designed to handle large amounts of data across many commodity servers, provides a high availability with no single point of failure. Cassandra will be offering the robust support for clusters spanning multiple data centers with asynchronous masterless replica which allow low latency operations for all the clients. N oSQL data stores target the unstructured data, which nature has dynamic and a key focus area for "Big Data" research. New generation data can prove costly and also unpractical to administer with databases SQL, due to lack of structure, high scalability and needs for the elasticity. N oSQL data stores such as MongoDB and Cassandra provide a desirable platform for fast and efficient for data queries. The Hadoop Distributed File System is one of many different components and projects contained within the community Hadoop ecosystem. The Apache Hadoop project defines Had oop - DFS as "the primary storage system which is used by Hadoop applications" that enables "reliable, extremely rapid computations". This paper was providing high - level overview of how Hadoop - styled analytics (MapReduce, Pig, Mahout and Hive) can be run on data contained in Apache Cassandra wit hout the need for Hadoop - DFS

Implementation of Multilayer cybersecurity based on Intrusion Detection System

Cyber security has become a high priority in Industrial Sector/Automation. Here the dependable operation is to ensure the stable, secure and reliable in power system delivery. By using the Intrusion Detection System framework Obscurity progress can be easily removed. Access control mechanism mainly used to launching the anomalous attacks. This framework provides a hierarchical approach for; integrated security system and comprising distributed IDSs. In a novel SCADA-IDS with whitelists and behavior-based protocol analysis is proposed and it is exemplified in order to detect known and unknown cyber-attacks from inside or outside SCADA systems. Finally, our proposed SCADA-IDS is implemented and it is successfully validated through a series of scenarios performed in a SCADA-specific test bed developed to replicate cyber-attacks against a substation LAN. From the perspective of SCADA system operators, the lack of openly available test dataset is a bottleneck, to compare the performance and accuracy of proposed solutions. However, for the research in the community to progress, such a large dataset would be valuable. The propose system will to creating a new dataset to mitigate vulnerable attack from cyber-crime to save the higher level records and system. DOI: 10.17762/ijritcc2321-8169.150520

Ipsilesional trajectory control is related to contralesional arm paralysis after left hemisphere damage

We have recently shown ipsilateral dynamic deficits in trajectory control are present in left hemisphere damaged (LHD) patients with paresis, as evidenced by impaired modulation of torque amplitude as response amplitude increases. The purpose of the current study is to determine if these ipsilateral deficits are more common with contralateral hemiparesis and greater damage to the motor system, as evidenced by structural imaging. Three groups of right-handed subjects (healthy controls, LHD stroke patients with and without upper extremity paresis) performed single-joint elbow movements of varying amplitudes with their left arm in the left hemispace. Only the paretic group demonstrated dynamic deficits characterized by decreased modulation of peak torque (reflected by peak acceleration changes) as response amplitude increased. These results could not be attributed to lesion volume or peak velocity as neither variable differed across the groups. However, the paretic group had damage to a larger number of areas within the motor system than the non-paretic group suggesting that such damage increases the probability of ipsilesional deficits in dynamic control for modulating torque amplitude after left hemisphere damage