工业物联网(IIoT)取证和漏洞

Venkata Venugopal Rao Gudlur, Vikneswara Abirama Shanmugan, S. Perumal, Radin Maya Saphira Radin Mohammed
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摘要

工业物联网(IIoT)已经改变了当今世界和未来基于技术的工业4.0,然而,就安全问题而言,对工业物联网(IIoT)的理解已经成为一个巨大的挑战。采用和使用新技术的主要目的将带来新的网络安全挑战,并将在AI和BI应用和使用方面暴露更多不确定漏洞,取证调查和智能设备之间信息共享的准确性。本文主要论述了人工智能在司法调查过程中获取所需证据的应用。不同地区、不同行业的法律方法不同,但背后的框架工作和案例思维是相似的。这个框架是由人工智能和商业智能等智能系统构成的,这些系统过于依赖于来自云服务器的数字信息。来自商业智能(BI)和人工智能(AI)的信息与基于云的服务器上的数据交叉,需要更安全的网络进程和防火墙来防止网络入侵者。本文发现了一些安全问题和漏洞方面的差距,因为它将为数字取证调查过程提供适当的基于工业物联网的程序。
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Industrial Internet of Things (IIoT) of Forensic and Vulnerabilities
The Industrial Internet-of-Things (IIoT) have changed the present world and future technology-based Industry 4.0, however the understanding of Industrial Internet of things (IIoT) has turned out to be big challenge as far as security concern. The main purpose of adopting and going with new technologies will bring new challenges with cybersecurity and will have more expose uncertain vulnerabilities in terms of AI and BI applications and usage with forensic investigation and accuracy of information sharing between smart devices. This paper composed on the utilization of Artificial Intelligence in securing required evidence for forensic investigation process. The legal methods are different as per region and industry, but the back-frame work and case-based thinking are similar. This framework is made from Intelligence systems such as AI and BI too dependent on the digital information from cloud server. The information from Business Intelligence (BI) and Artificial Intelligence (AI) intersects with data on cloud-based server requires more secure network process and firewall to prevent cyber intruders. This paper has discovered a few gaps on security issues and vulnerabilities where as it will cater proper IIoT based procedure for the Digital Forensic Investigation process.
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