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Multi-Core parallel Processing Technique to Prepare the Time Series Data for the Early Detection of DDoS Flooding Attacks

Multi-Core Parallel Processing Technique to Prepare the Time...

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international conference on computing for Sustainable Global Development (INDIACom)

作者： S. Ratan Kumar V. Valli Kumari K. V. S. V. N. Raju Anil Neerukonda Institute of Technology and Sciences Visakhapatnam India Andhra University Visakhapatnam India Gayatri Vidya Parishad College for Degree and PG Courses Visakhapatnam India

Distributed Denial of Service (DDoS) attacks pose a considerable threat to Cloud computing, Internet of things (IoT) and other services offered on the Internet. the victim server receives terabytes of data per second during the DDoS attack. It may take hours to examine them to detect a potential threat, leading to denial of service to legitimate users. Processing vast volumes of traffic to mitigate the attack is a challenging task for network administrators. High-performance techniques are more suited for processing DDoS attack traffic compared to Sequential Processing Techniques. this paper proposes a Multi-Core parallel Processing Technique to prepare the time series data for the early detection of DDoS flooding attacks. Different time series analysis methods are suggested to detect the attack early on. Producing time series data using parallel processing saves time and further speeds up the detection of the attack. the proposed method is applied to the benchmark data set CICDDoS2019 for generating four different time series to detect TCP-based flooding attacks, namely TCP-SYN, TCP-SYN-ACK, TCP-ACK, and TCP-RST. the implementation results show that the proposed method can give a speedup of 2.3 times for processing attack traffic compared to sequential processing.

关键词： Cloud computing Time series analysis Distributed databases parallel processing Denial-of-service attack Floods Internet of things

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A novel approach for radar network's detection power analysis based on GPU 8

A novel approach for radar network's detection power analysi...

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8th international conference on Advanced Cloud and Big Data (CBD)

作者： Huang, Yafeng Zhu, Zhengrong Li, Xiangchen Nanjing Res Inst Elect Technol Syst Dept Nanjing Peoples R China

ISBN: (纸本)9781665423137

the detection power analysis of radar network is an essential but time-consuming problem in the domain of situation awareness. In this paper, we propose a novel GPU based method more efficient than existing solutions. the proposed approach is based on the field model, and the calculation of detection power is regarded as the construction and information handling process of the field model. Furthermore, it's a computation and visualization combined method. It directly produces the geotagged image, which is needed in the final display terminal. Finally, it fully utilizes the GPU hardware through various techniques, such as compressing solution space, optimizing memory usage, and instruction usage optimization. the result of the comparative experiment has shown that this novel GPU based algorithm is scalable to various conditions such as different cell resolution, detection possibility, and height. the optimized GPU version can reap the processing efficiency to about 93 times than the serial version.

关键词： GPU parallel computing CUDA radar network detection power analysis field-based model

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Agent-Navigable Dynamic Graph Construction and Visualization over Distributed Memory 8

Agent-Navigable Dynamic Graph Construction and Visualization...

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8th IEEE international conference on Big Data (Big Data)

作者： Gilroy, Justin Paronyan, Satine Acoltzi, Jonathan Fukuda, Munehiro Univ Washington Bothell Comp & Software Syst Bothell WA 98011 USA

ISBN: (纸本)9781728162515

Some graph analyses, such as social network and biological network, need large-scale graph construction and maintenance over distributed memory space. Distributed data-streaming tools, including MapReduce and Spark, restrict some computational freedom of incremental graph modification and run-time graph visualization. Instead, we take an agent-based approach. We construct a graph from a scientific dataset in CSV, tab, and XML formats;dispatch many reactive agents on it;and analyze the graph in the form of their collective group behavior: propagation, flocking, and collision. the key to success is how to automate the run-time construction and visualization of agent-navigable graphs mapped over distributed memory. We implemented this distributed graph-computing support in the multi-agent spatial simulation (MASS) library, coupled with the Cytoscape graph visualization software. this paper presents the MASS implementation techniques and demonstrates its execution performance in comparison to MapReduce and Spark, using two benchmark programs: (1) an incremental construction of a complete graph and (2) a KD tree construction.

关键词： multi-agent systems agent-based modeling data analysis data visualization parallel programming

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Massively parallel Genetic Optimization through Asynchronous Propagation of Populations 38th

Massively Parallel Genetic Optimization Through Asynchronous...

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38th international conference on High Performance computing, ISC High Performance 2023

作者： Taubert, Oskar Weiel, Marie Coquelin, Daniel Farshian, Anis Debus, Charlotte Schug, Alexander Streit, Achim Götz, Markus Eggenstein-Leopoldshafen76344 Germany

ISBN: (纸本)9783031320408

We present Propulate, an evolutionary optimization algorithm and software package for global optimization and in particular hyperparameter search. For efficient use of HPC resources, Propulate omits the synchronization after each generation as done in conventional genetic algorithms. Instead, it steers the search with the complete population present at time of breeding new individuals. We provide an MPI-based implementation of our algorithm, which features variants of selection, mutation, crossover, and migration and is easy to extend with custom functionality. We compare Propulate to the established optimization tool Optuna. We find that Propulate is up to three orders of magnitude faster without sacrificing solution accuracy, demonstrating the efficiency and efficacy of our lazy synchronization approach. Code and documentation are available at https://***/Helmholtz-AI-Energy/propulate/. © 2023, the Author(s).

关键词： Genetic algorithms

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Massively parallel Processing Database for Sequence and Graph Data Structures Applied to Rapid-Response Drug Repurposing 8

Massively Parallel Processing Database for Sequence and Grap...

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8th IEEE international conference on Big Data (Big Data)

作者： Rickett, Christopher D. Maschhoff, Kristyn J. Sukumar, Sreenivas R. Hewlett Packard Enterprise Spring TX 77389 USA

ISBN: (纸本)9781728162515

In this paper, we present the application of a massively parallel-processing graph database for rapid-response drug repurposing. the novelty of our approach is that the scalable graph database is able to host a knowledge graph of medically relevant facts integrated from multiple knowledge sources and also act as a computational engine capable of in-database protein sequence analytics. We demonstrate the performance of the graph database on a real-world use-case to hypothesize cures for COVID-19, leveraging its built-in accelerated protein-sequence matching capabilities at unprecedented scale (to simultaneously handle data size and query latency requirements for interactive research). Based on supporting evidence from medical literature, we show that results generated by computing similarity of COVID-19 virus proteins across 4 million other open-science sequences and intelligently traversing over a 150 billion facts from open-science medical knowledge produces biologically insightful results. By presenting sample queries and extending application to use-cases beyond COVID-19, we demonstrate the use and value of the novel database for hypotheses generation in reducing the time-to-insight and increasing researcher productivity with interactivity.

关键词： graph database graph analytics in-database analytics distributed processing parallel processing sequence analytics

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Every Node for Itself: Fully Distributed Service Coordination 16

Every Node for Itself: Fully Distributed Service Coordinatio...

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16th international conference on network and Service Management (CNSM) / 2nd international Workshop on Analytics for Service and Application Management (AnServApp) / 1st international Workshop on the Future Evolution of Internet Protocols (IPFuture)

作者： Schneider, Stefan Klenner, Lars Dietrich Karl, Holger Paderborn Univ Paderborn Germany

ISBN: (数字)9783903176317

ISBN: (纸本)9783903176317

Modern services consist of modular, interconnected components, e.g., microservices forming a service mesh. To dynamically adjust to ever-changing service demands, service components have to be instantiated on nodes across the network. Incoming flows requesting a service then need to be routed through the deployed instances while considering node and link capacities. Ultimately, the goal is to maximize the successfully served flows and Quality of Service (QoS) through online service coordination. Current approaches for service coordination are usually centralized, assuming up-to-date global knowledge and making global decisions for all nodes in the network. Such global knowledge and centralized decisions are not realistic in practical large-scale networks. To solve this problem, we propose two algorithms for fully distributed service coordination. the algorithms can be executed individually at each node in parallel and require very limited global knowledge. We compare and evaluate both algorithms with a state-of-the-art centralized approach in extensive simulations on a large-scale, real-world network topology. Our results indicate that the two algorithms can compete with centralized approaches in terms of solution quality but require less global knowledge and are magnitudes faster (more than 100x).

关键词： Delays Knowledge engineering Routing Quality of service network topology Topology Routing protocols

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Stacked Convolutional Autoencoder for Detecting Animal Images in Cluttered Scenes with a Novel Feature Extraction Framework 8th

Stacked Convolutional Autoencoder for Detecting Animal Image...

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8th international conference on Soft computing for Problem Solving (SocProS)

作者： Meena, S. Divya Agilandeeswari, L. VIT Univ Sch Informat Technol & Engn Vellore Tamil Nadu India

ISBN: (纸本)9789811501845;9789811501838

Detection of animals from a cluttered scene is not a trivial task. So far, convolutional neural network (CNN) architectures have served this purpose. We introduce stacked convolutional autoencoders (SCAE) for this purpose. It is an unsupervised stratified feature extractor that could be used for high-dimensional input images. We also introduce a hybrid feature extraction technique based on Fisher Vectors (FV) and stacked autoencoders (SAE). SCAE learns significant features utilizing plain stochastic gradient descent and finds a good initialization for CNNs so as to eliminate the various unique local minima of exceptionally non-convex target functions emerging in virtually all deep learning problems. We have proposed a parallel pipeline for both detecting animals in both visible and infrared images. the framework model has achieved 97% accuracy.

关键词： Convolutional neural network Stacked convolutional autoencoder Animal detection Fisher Vector Infrared images Fuzzy

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CLASSIFICATION OF 3-DOF 3-UPU TRANSLATIONAL parallel MECHANISMS BASED ON CONSTRAINT SINGULARITY LOCI USING GROBNER COVER 45

CLASSIFICATION OF 3-DOF 3-UPU TRANSLATIONAL PARALLEL MECHANI...

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ASME international Design Engineering Technical conferences / 41st Annual Computers and Information in Engineering conference (IDETC-CIE) / 45th Mechanisms and Robotics conference (MR)

作者： Kong, Xianwen Heriot Watt Univ Sch Engn & Phys Sci Edinburgh EH14 4AS Midlothian Scotland

ISBN: (纸本)9780791885451

A 3-UPU translational parallel mechanism (TPM) is one of typical TPMs. Several types of 3-UPU TPMs have been proposed in the literature. Despite comprehensive studies on 3-UPU TPMs in which the joint axes on the base and the moving platform are coplanar, only a few 3-UPU TPMs with a skewed base and moving platform have been proposed. However, the impact of link parameters on singularity loci of such TPMs has not been systematically investigated. the advances in computing CGS (comprehensive Grobner system) or Grobner cover of parametric polynomial systems provide an efficient tool for solving this problem. this paper presents a systematic classification of 3UPU TPMs, especially those with a skewed base and moving platform, based on constraint singularity loci. First, the constraint singularity equation of a 3-UPU TPM is derived. To simplify this equation, the coordinate frame on the base (or moving platform) is set up such that the centers of three U joints are located on different coordinate axes. Using Grobner Cover, the 3-UPU TPMs are classified into 20 types based on the constraint singularity loci. Finally, a novel 3-UPU TPM is proposed. Unlike most of existing 3-UPU TPMs which can transit to two or more 3-DOF operation modes at a constraint singular configuration, the proposed 3-UPU TPM can only transit to one general 3-DOF operation mode in a constraint singular configuration. the singularity locus divides the workspace of this 3-UPU TPM into two constraint singularity-free regions. this work provides a solid foundation for the design of 3-UPU TPMs and a starting point for the classification of a general 3-UPU parallel mechanism.

关键词： Translational parallel mechanism Constraint singularity Operation mode Quaternion Euler parameters Grobner Cover

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A parallel Data Stream Layer for Large Data Workloads on WANs 22

A Parallel Data Stream Layer for Large Data Workloads on WAN...

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22nd IEEE international conference on High Performance computing and Communications, 18th IEEE international conference on Smart City and 6th IEEE international conference on Data Science and Systems, HPCC-SmartCity-DSS 2020

作者： Eghbal, Nooshin Lu, Paul University of Alberta Department of Computing Science Edmonton Canada

ISBN: (纸本)9781728176499

A variety of workloads on wide-Area networks (WAN) can benefit from parallel data streams. Whether between public and private clouds or between high-performance computing centres, high bandwidth-delay-product (BDP) networks with even small amounts of packet loss (e.g., due to congestion) can suffer reduced TCP/IP throughput. therefore, we design, implement, and evaluate the open-source parallel Data Streams (PDS) user-level tool. PDS makes trade-offs (e.g., TCP fairness) for specific workloads, when performance is the key goal. Unlike the well-known GridFTP, PDS also supports tools such as rsync, git, Virtual network computing (VNC), and the network File System (NFS). We also quantify and contribute a performance evaluation of PDS, using a combination of emulated and real WANs. We establish that PDS achieves comparable performance to GridFTP for file transfer, but additional functionality via other tools. For example, PDS can transfer a 14 GB file on a WAN between Alberta and Quebec (maximum 1 Gbps;over 3,100 km) at 861 Mbps, using rsync and 8 parallel, cleartext, TCP streams. In comparison, rsync over a single SSH stream achieves 274 Mbps. © 2020 IEEE.

关键词： Wide area networks

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Securing an infiniband network and its effect on performance 1

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14th ifip WG 11.10 international conference on Critical Infrastructure Protection, ICCIP 2020

作者： Mireles, Lucas Graham, Scott Sweeney, Patrick Dunlap, Stephen Dallmeyer, Matthew Air Force Institute of Technology Wright-Patterson AirForce Base DaytonOH United States

ISBN: (数字)9783030628406

ISBN: (纸本)9783030628390

the InfiniBand network architecture, which delivers very high bandwidth and low latency, is one of the leading interconnects used in high performance computing. As its popularity increases, applications of InfiniBand in the critical infrastructure are growing, which creates the potential of new security risks. this chapter addresses some open security issues related to InfiniBand. It demonstrates that common traffic analyzing tools are unable to capture or monitor InfiniBand traffic transmitted between hosts. Due to the kernel bypass nature of InfiniBand, many host-based network security systems cannot be executed on InfiniBand applications and, unfortunately, those that can impose significant network performance penalties. the principal takeaways are that Ethernet security practices do not translate to InfiniBand networks and securing InfiniBand networks requires a hardware offload strategy. © ifip international Federation for Information Processing 2020.

关键词： network architecture

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