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Concurrency in Intrusion Detection Systems: A Study in F

机译:入侵检测系统中的并发:F的研究

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摘要

The number of CPU cores increasing each year is creating the need for highly efficient algorithms to fully take advantage of multi-threading and parallel computing capabilities, network security solutions to intrusion detection included. Challenges in network intrusion detection systems include increasing the speed of analysis of network traffic for potential threats. Utilizing different algorithm types as well as the use of multiple cores in processing of data have been an integral part of the search for solutions; however, little consideration has been given to the programming language choice. Mixed paradigm languages, that include functional components, have become more popular as they are proven to be a highly transparent means of enabling concurrency in programming. This paper investigates the rise of the mixed paradigm language F Sharp (F;Keywords: Algorithm Development, Network Security, Intrusion Detection, Concurrency, Parallel Processing, Multi-paradigm languages, F
机译:每年增加的CPU内核数量导致对高效算法的需求,以充分利用多线程和并行计算功能(包括用于入侵检测的网络安全解决方案)。网络入侵检测系统的挑战包括提高分析网络流量以分析潜在威胁的速度。在解决方案中,使用不同的算法类型以及在数据处理中使用多个核已成为不可或缺的一部分。但是,很少考虑编程语言的选择。包含功能组件的混合范例语言已变得更加流行,因为它们被证明是实现编程并发的高度透明的手段。本文研究了混合范式语言F Sharp(F;关键字:算法开发,网络安全,入侵检测,并发,并行处理,多范式语言,F

著录项

  • 作者

    Deines, Jessica.;

  • 作者单位

    Colorado Technical University.;

  • 授予单位 Colorado Technical University.;
  • 学科 Computer Science.
  • 学位 D.C.S.
  • 年度 2014
  • 页码 179 p.
  • 总页数 179
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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