Title: Enhancing cyber threat prediction utilising digital forensics

Authors: Qingli Zhang; Guohui Quan

Addresses: School of Information Engineering (School of Software), Henan University of Animal Husbandry and Economy, Zhengzhou, Henan, 450044, China ' Department of New Materials Science and Engineering, Zhengzhou Technical College, Zhengzhou, Henan, 450121, China

Abstract: As we move into the Fourth Industrial Revolution, smart houses that use the internet of things (IoT) make digital sleuthing a lot more difficult. The study's goal is to look into these issues and create methods that can be used with a lot of IoT gadgets in smart homes. We come up with a complete method that includes open-source intelligence, application, network, and hardware studies. Our goal is to make this method work for all kinds of IoT devices and their different ways of storing data. To make sure the way works, it was put to the test on well-known systems such as Sony SmartThings, Aqara, QNAP NAS, and Hikvision IP cameras. The study makes big progress in the field of IoT digital forensics and sets the stage for more research into IoT cases that are more general. Data from seven countries are analysed in this article.

Keywords: internet of things; IoT; incident investigation; smart home; digital forensics.

DOI: 10.1504/IJESDF.2026.156136

International Journal of Electronic Security and Digital Forensics, 2026 Vol.18 No.5, pp.629 - 646

Received: 09 Aug 2024
Accepted: 31 Oct 2024
Published online: 07 Sep 2026 *

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