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Securing Smart Cities using LSTM algorithm and lightweight containers against botnet attacks
Applied Soft Computing ( IF 8.7 ) Pub Date : 2021-09-02 , DOI: 10.1016/j.asoc.2021.107859
Mikail Mohammed Salim 1 , Sushil Kumar Singh 1 , Jong Hyuk Park 1
Affiliation  

Smart Cities contains millions of IoT sensors supporting critical applications such as Smart Transport, Buildings, Intelligent Vehicles, and Logistics. A central administrator appointed by the government manages and maintains the security of each node. Smart City relies upon millions of sensors that are heterogeneous and do not support standard security architecture. Different manufacturers have weak protection protocols for their products and do not update their firmware upon newly identified operating systems’ vulnerabilities. Adversaries using brute force methods exploit the lack of inbuilt security systems on IoT devices to grow their bot network. Smart cities require a standard framework combining soft computing and Deep Learning (DL) for device fleet management and complete control of sensor operating systems for absolute security. This paper presents a real-world application for IoT fleet management security using a lightweight container-based botnet detection (C-BotDet) framework. Using a three-phase approach, the framework using Artificial Intelligence detects compromised IoT devices sending malicious traffic on the network. Balena Cloud revokes API keys and prevents a compromised device from infecting other devices to form a more giant botnet. VPN (Virtual Private Network) prevents inter-device communication and routes all malicious traffic through an external server. The framework quickly updates the standard Linux-based operating system IoT device fleet without relying on different manufacturers to update their system security individually. The simulation and analysis of the C-BotDet framework are presented in a practical working environment to demonstrate its implementation feasibility.



中文翻译:

使用 LSTM 算法和轻量级容器保护智能城市免受僵尸网络攻击

智慧城市包含数百万个物联网传感器,支持智能交通、建筑、智能车辆和物流等关键应用。由政府指定的中央管理员管理和维护每个节点的安全。智慧城市依赖于数以百万计的异构传感器,不支持标准安全架构。不同的制造商对其产品的保护协议较弱,并且不会根据新发现的操作系统漏洞更新其固件。使用蛮力方法的攻击者利用物联网设备上缺乏内置安全系统来发展他们的机器人网络。智慧城市需要一个结合软计算和深度学习 (DL) 的标准框架来管理设备群并完全控制传感器操作系统以实现绝对安全。本文介绍了使用基于轻量级容器的僵尸网络检测 (C-BotDet) 框架的物联网车队管理安全的实际应用。使用三阶段方法,使用人工智能的框架检测在网络上发送恶意流量的受损物联网设备。Balena Cloud 撤销 API 密钥并防止受感染设备感染其他设备以形成更大的僵尸网络。VPN(虚拟专用网络)可防止设备间通信并通过外部服务器路由所有恶意流量。该框架可快速更新基于 Linux 的标准操作系统 IoT 设备群,而无需依赖不同的制造商单独更新其系统安全性。

更新日期:2021-09-12
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