【标题】Double Layered Priority based Gray Wolf Algorithm (PrGWO-SK) for safety management in IoT network through anomaly detection
【参考中译】基于双层优先级的Gray Wolf算法(PrGWO-SK)用于物联网网络异常检测的安全管理
【类型】 期刊
【关键词】 Gray wolf optimizer; Anomaly detection; Feature selection; Predictive maintenance
【参考中译】 灰狼优化器；异常检测；特征选择；预测性维护
【作者】 Akhileshwar Prasad Agrawal; Nanhay Singh
【摘要】 For mitigating and managing risk failures due to Internet of Things (IoT) attacks, many Machine Learning (ML) and Deep Learning (DL) solutions have been used to detect attacks but mostly suffer from the problem of high dimensionality. The problem is even more acute for resource starved IoT nodes to work with high dimension data. Motivated by this problem, in the present work a priority based Gray Wolf Optimizer is proposed for effectively reducing the input feature vector of the dataset. At each iteration all the wolves leverage the relative importance of their leader wolves' position vector for updating their own positions. Also, a new inclusive fitness function is hereby proposed which incorporates all the important quality metrics along with the accuracy measure. In a first, SVM is used to initialize the proposed PrGWO population and kNN is used as the fitness wrapper technique. The proposed approach is tested on NSL-KDD, DS2OS and BoTIoT datasets and the best accuracies are found to be 99.60%, 99.71% and 99.97% with number of features as 12,6 and 9 respectively which are better than most of the existing algorithms.
【参考中译】 为了缓解和管理物联网(IoT)攻击导致的风险故障，许多机器学习(ML)和深度学习(DL)解决方案已被用于检测攻击，但大多存在高维问题。对于资源匮乏的物联网节点来说，处理高维数据的问题更加严重。针对这一问题，本文提出了一种基于优先级的Gray Wolf优化器，以有效地减少数据集的输入特征向量。在每一次迭代中，所有狼都利用它们的领头狼的位置向量的相对重要性来更新它们自己的位置。此外，本文还提出了一种新的包含适应度函数，它结合了所有重要的质量度量和准确度度量。首先，使用支持向量机对提出的PrGWO种群进行初始化，并使用KNN作为适应度包装器技术。该方法在NSL-KDD、DS2OS和BoTIoT数据集上进行了测试，准确率分别为99.60%、99.71%和99.97%，特征数分别为12、6和9，优于现有的大多数算法。
【来源】 Maintenance and Reliability 2022, vol.24, no.4
【入库时间】 2023/6/29
【标题】Movable barcode scanning system using IoT smart glass technology
【参考中译】采用物联网智能玻璃技术的移动条码扫描系统
【关键词】 Barcode scanning; Automation; Smart glasses; Manual interaction; Inventory management
【参考中译】 条码扫描；自动化；智能眼镜；手动交互；库存管理
【作者】 Akash Awasthi; P. Deepalakshmi; P. Nagaraj; Amarakota Madhu Vamsi
【摘要】 Nowadays, everything is getting digitalised in India according to the Digital India program. Lot of manual work has been replaced by digital and IoT-based technologies. The trend of using smart glasses for managing warehouses is increasing. But then, these glasses need manual interaction which may lead to manual error. So, there exists a need for a technology, which can make the inventory management in the warehouse totally digitalised and automatic. This study aims to develop a technology to reduce the manual interaction that further reduces theft, manual errors and benefits the organisation to save cost spent on workers every month. Considering the need for industrial automation, the present study provides an idea of movable barcode scanning system to measure the inventories and send a notification to supplier and the company employee for order placement as well as display currently scanned inventories on a webpage hosted by our system. This system associates the industry to be advanced, fast and digitalised especially in warehouse management.
【参考中译】 如今，根据数字印度计划，印度的一切都在数字化。许多人工工作已经被数字和基于物联网的技术所取代。使用智能眼镜管理仓库的趋势正在增加。但是，这些眼镜需要手动交互，这可能会导致手动错误。因此，需要一种能够使仓库库存管理完全数字化和自动化的技术。这项研究旨在开发一种减少人工交互的技术，从而进一步减少盗窃和手动错误，并使组织受益于节省每月花在员工身上的成本。考虑到工业自动化的需要，本研究提出了一种移动条码扫描系统的想法，用于测量库存，并向供应商和公司员工发送下单通知，以及在我们的系统托管的网页上显示当前扫描的库存。该系统结合了行业的先进、快速和数字化，特别是在仓库管理方面。
【来源】 International Journal of Intelligent Enterprise 2023, vol.10, no.2
【标题】Defending the IoT/OT Attack Surface
【参考中译】防御物联网/OT攻击面
【作者】 Bud Broomhead
【摘要】 The Internet of Things (IoT) and operational technology (OT) devices behind so many advances in manufacturing are also responsible for creating the largest and fastest growing attack surface within an organization. Sensors, cameras, access control systems, printers, and many other non-IT devices exist to provide business value to the organization. But, as connected devices, they are very attractive to threat actors and easier to breach than other IP-connected systems.
【参考中译】 物联网(IoT)和运营技术(OT)设备推动了制造业的如此多进步，也造成了组织内规模最大、增长最快的攻击面。传感器、摄像头、访问控制系统、打印机和许多其他非IT设备的存在是为了为组织提供业务价值。但是，作为连接设备，它们对威胁参与者非常有吸引力，而且比其他IP连接系统更容易被攻破。
【来源】 Smart Manufacturing 2023, vol.8, no.1