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Implementation of lightweight intrusion detection model for security of smart green house and vertical farm

机译:智能温室和垂直农场安全的轻量级入侵检测模型的实现

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With the current global food production capability, it is not difficult to anticipate that there will be a global food shortage when the world population grows beyond 10?billion by the end of the 21st century. Many projects are in motion to deal with this problem and some of them are considered to be quite feasible. Development and implementation of smart green houses and vertical farms are two major solutions for the expected crisis, but as other ICT-based systems, their security problems must be dealt with. Nevertheless, current network forensics is still unable to fully monitor and analyze computer network traffic to gather the evidences of malicious attacks or intrusions. Although major companies and government agencies have introduced various types of high-speed IDS into their networks, smaller firms or private organizations are unable to do so because of the cost involved. The lightweight IDS proposed in this study can be a suitable solution as this system can be operated with a common PC and peripherals. This system also underwent a test bed experiment and proved its efficiency. Jpcap library was used to capture transport packets which were then classified using typical communications protocols. The packet headers were subjected to analysis and the results were stored in database for later applications.
机译:以目前的全球粮食生产能力,不难预见,到21世纪末,当世界人口增长到100亿以上时,将出现全球粮食短缺。许多项目正在解决这个问题,其中一些被认为是非常可行的。智能温室和垂直农场的开发和实施是应对预期危机的两个主要解决方案,但是与其他基于ICT的系统一样,必须解决其安全问题。但是,当前的网络取证仍然无法完全监视和分析计算机网络流量以收集恶意攻击或入侵的证据。尽管大型公司和政府机构已经在其网络中引入了各种类型的高速IDS,但由于涉及成本,较小的公司或私人组织无法这样做。这项研究中提出的轻量级IDS可能是一种合适的解决方案,因为该系统可以与普通PC和外围设备一起运行。该系统还进行了试验台实验并证明了其效率。 Jpcap库用于捕获传输数据包,然后使用典型的通信协议对传输数据包进行分类。对数据包头进行分析,并将结果存储在数据库中,以备后用。

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