Publication: Industrial Internet of Things (IIoT) of Forensic and Vulnerabilities
dc.contributor.author | Venkata Venugopal Rao Gudlur, | en_US |
dc.contributor.author | Vikneswara Abirama Shanmugan, | en_US |
dc.contributor.author | Sundresan Perumal, | en_US |
dc.contributor.author | Radin Maya Saphira Radin Mohammed | en_US |
dc.date.accessioned | 2024-05-28T03:28:02Z | |
dc.date.available | 2024-05-28T03:28:02Z | |
dc.date.issued | 2020-01 | |
dc.date.submitted | 2021-2-9 | |
dc.description | International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-8 Issue-5, January 2020 | en_US |
dc.description.abstract | 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. | en_US |
dc.identifier.doi | 10.35940/ijrte.D8710.018520 | |
dc.identifier.epage | 3878 | |
dc.identifier.issn | 2277-3878 | |
dc.identifier.issue | 5 | |
dc.identifier.other | 1880-19 | |
dc.identifier.spage | 2277 | |
dc.identifier.uri | https://www.scilit.net/article/b183b456f13b2b6e583f210406f48232 | |
dc.identifier.uri | https://oarep.usim.edu.my/handle/123456789/4214 | |
dc.identifier.volume | 8 | |
dc.language.iso | en | en_US |
dc.publisher | Universiti Sains Islam Malaysia | en_US |
dc.relation.ispartof | International Journal of Recent Technology and Engineering | en_US |
dc.subject | Artificial Intelligence (AI), | en_US |
dc.subject | Business Intelligence (BI), | en_US |
dc.subject | Digital Forensic Investigation (DFI), | en_US |
dc.subject | Industrial Internet of things (IIoT) | en_US |
dc.title | Industrial Internet of Things (IIoT) of Forensic and Vulnerabilities | en_US |
dc.type | Article | en_US |
dspace.entity.type | Publication |
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