Computing in Kent

Title The case for validating ADDIE model as a digital forensic model for peer to peer network investigation Authors Musa, A . , Awan, I-U and Zarah, F. Musa, A., Awan, I-U and Zarah, F. 2022. The case for validating ADDIE model as a digital forensic model for peer to peer network investigation.  Information System Frontiers.  https://doi.org/10.1007/s10796-022-10360-8 Rapid technological advancement can substantially impact the processes of digital forensic investigation and present a myriad of challenges to the investigator. With these challenges, it is necessary to have a standard digital forensic framework as the foundation of any digital investigation. State-of-the-art digital forensic models assume that it is safe to move from one investigation stage to the next. It guides the investigators with the required steps and procedures. This brings a great stride to validate a non-specific framework to be used in most digital investigation procedures. This paper considers a new...

 A Recent paper on using Voice Recognition and machine learning to detect drowsiness when driving. Jasim, S. S., Abdul Hassan , A. K. and Turner , S. (2022) “Driver Drowsiness Detection Using Gray Wolf Optimizer Based on Voice Recognition”,  ARO-THE SCIENTIFIC JOURNAL OF KOYA UNIVERSITY , 10(2), pp. 142-151. doi: 10.14500/aro.11000. Full text at:  https://aro.koyauniversity.org/index.php/aro/article/view/1000 Globally, drowsiness detection prevents accidents. Blood biochemicals, brain impulses, etc., can measure tiredness. However, due to user discomfort, these approaches are challenging to implement. This article describes a voice-based drowsiness detection system and shows how to detect driver fatigue before it hampers driving. A neural network and Gray Wolf Optimizer are used to classify sleepiness automatically. The recommended approach is evaluated in alert and sleep-deprived states on the driver tiredness detection voice real dataset. The approach used in speech re...

 To celebrate Canterbury Christ Church University's (CCCU) 60th Anniversary a Medium site focusing on some the science, technology activities at CCCU, has been set up  https://medium.com/the-christ-church-science-a-to-z  . Among this two posts have been specifically produced by the Computing team. " Laptop Computer " by WDnet Studio is marked with CC0 1.0 . D is Disinformation ( https://medium.com/the-christ-church-science-a-to-z/d-is-for-disinformation-1415366ebfc7 ) This focuses on an approach that integrates Artificial Intelligence into the investigation and detection of disinformation in text sources.  To read more on Dr Leishi Zhang's work please go to  https://www.canterbury.ac.uk/science-engineering-and-social-sciences/engineering-technology-and-design/Staff/Profile.aspx?staff=45a837284aed24ae Z is Zoombombing ( https://medium.com/the-christ-church-science-a-to-z/z-is-for-zoombombing-18de82ab3b6e ) Recent investigations at Canterbury Christ...

  Future of Virtual Reality  Recently Gareth Ward, a member of the Computing Team at Canterbury Christ Church University, shared an insightful post  https://blogs.cante... Designing a system to mimic expert cognition: An initial prototype Recent paper from one of the Computing Team at CCCU Designing a system to mimic expert cognition: An initial prototype Hepenstal, S., Zhang... Investigating the security issues of multi-layer IoMT attacks using machine learning techniques Recent paper by colleagues. Investigating the security issues of multi-layer IoMT attacks using machine learning techniques Authors:  Al Suk... EDI in Computing – supporting student success  A post has recently been posted https://blogs.canterbury.ac.uk/engineering/edi-in-computing/ discussing the positive success in equality, ... Does it matter that women aren’t engaging in STEM?   " Circuit Bending Orchestra: Lara Grant at Diana Eng's Fairytale Fashion Show, Eyebeam NYC / 20100224.7D.03...