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, diversity and inclusion in Computing at Canterbury Christ Church University 

Highlight

At Canterbury Christ Church University we have successfully begun to integrate soft skills, such as presenting to stakeholders and group collaboration alongside the technical skills that all students entering Computing and Engineering need so that we can ensure that we are educating the whole individual. By focusing on strengthening the opportunities of the individual we can make sure that each person gets the learning and the support that they need without preconceptions and stereotypes.

To read more: https://blogs.canterbury.ac.uk/engineering/edi-in-computing/

References and related links

Calder, M. (2022) BCS landscape review: Computing qualifications in the UK | BCS. Available at: https://www.bcs.org/policy-and-influence/education/bcs-landscape-review-computing-qualifications-in-the-uk/ (Accessed: 19 October 2022).

UCAS (2021) UCAS Undergraduate sector-level end of cycle data resources 2021, UCAS. Available at: https://www.ucas.com/data-and-analysis/undergraduate-statistics-and-reports/ucas-undergraduate-sector-level-end-cycle-data-resources-2021 (Accessed: 19 October 2022).

Does it matter that women aren’t engaging in STEM?

https://kentcomputing.blogspot.com/2022/11/does-it-matter-that-women-arent.html

Why should everybody learn Artificial Intelligence?

 

A recent blog post, https://blogs.canterbury.ac.uk/engineering/why-should-everybody-learn-artificial-intelligence/,  produced by two members of the Computing team at Canterbury Christ Church University concerned with why everyone should learn about Artificial Intelligence. This is not a call out for those necessarily doing Computing but more about everyone should understand something about this important and society-changing topic.

Why should everybody learn Artificial Intelligence?

by Amina Souag, Scott Turner
School of Engineering, Technology and Design
Canterbury Christ Church University

Artificial Intelligence (AI) is not science fiction. It is around us now (e.g., for automatic plate number recognition, credit-card fraud detection), and it is here to remain. AI is also not just one technology, but a range of technologies inspired by everything from how the brain works to how ants find food. These allow computers to appear intelligent and apply more focused processing power than the human brain can produce, though usually only to narrowly defined tasks. This is why AI technology has become so important to the modern economy. AI is here and working now.

The post can be found at  https://blogs.canterbury.ac.uk/engineering/why-should-everybody-learn-artificial-intelligence/

Related Link

https://researchspace.canterbury.ac.uk/8y2xy/why-everyone-should-learn-a-bit-

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 Sukhni, B., Manna, S., Dave, J. and Zhang, L.

Title

Exploring Research and Development in the MedTech, Life Science and Healthcare Sectors

Event date

09 Nov 2022

Abstract

The Internet of Medical Things (IoMT) plays a significant role in the healthcare system as it improves effectiveness and efficiency of treatment by continuously monitoring patients using smart home sensor and wearables (Fig. 1), early disease diagnosis using data collected from the Internet of Medical Things (IoMT) devices and assisting doctors in deciding the best treatment and acting immediately if necessary. Additionally, it helps to reduce the number of hospital visits, limiting carbon footprint.IoMT devices are vulnerable to Multi-layer attacks because most of these devices are resource-constrained and portable, which is why there is not that much implementation of security features in these devices and making them a prime target for intruders looking to steal patients’ sensitive information and healthcare records. Multi-layer attacks are a group of attacksexploiting multiple layers of IoMT architecture. Denial-of-service (DoS) and Man-In-The-Middle (MITM) attacks, for instance, can target the three layers of the IoMT system and lead to serious consequences, such as theft of patients’ sensitive data and reputational damages. The main aim of the project is to create a robust IDS for IoT devices

To read more go to: https://researchspace.canterbury.ac.uk/9315y/investigating-the-security-issue 

References

[1] Rasool, R.U., Ahmad, H.F., Rafique, W., Qayyum, A. and Qadir, J., 2022. Security and privacy of internet of medical things: A contemporary review in the age of surveillance, botnets, and adversarial ML. Journal of Network and Computer Applications, p.103332. https://doi.org/10.1016/j.jnca.2022.103332

[2] Khanam, S., Ahmedy, I.B., Idris, M.Y.I., Jaward, M.H. and Sabri, A.Q.B.M., 2020. A survey of security challenges, attacks taxonomy and advanced countermeasures in the internet of things. IEEE access, 8, pp.219709-219743. https://doi.org/10.1109/ACCESS.2020.3037359

[3] Doshi, R., Apthorpe, N. and Feamster, N. (2018) "Machine learning DDoS detection for consumer internet of things devices," in Proceedings - 2018 IEEE Symposium on Security and Privacy Workshops, SPW 2018. doi:10.1109/SPW.2018.00013. https://doi.org/10.1109/SPW.2018.00013

[4] Moustafa, N., Turnbull, B. and Choo, K.K.R., 2018. An ensemble intrusion detection technique based on proposed statistical flow features for protecting network traffic of internet of things. IEEE Internet of Things Journal, 6(3), pp.4815-4830. https://doi.org/10.1109/JIOT.2018.2871719

[5] Shafiq, M. et al. (2020) "Selection of effective machine learning algorithm and Bot-IoT attacks traffic identification for internet of things in smart city," Future Generation Computer Systems, 107. doi:10.1016/j.future.2020.02.017. https://doi.org/10.1016/j.future.2020.02.017

[6] Liang, C. et al. (2019) "Intrusion Detection System for Internet of Things based on a Machine Learning approach," in Proceedings - International Conference on Vision Towards Emerging Trends in Communication and Networking, ViTECoN 2019. doi:10.1109/ViTECoN.2019.8899448. https://doi.org/10.1109/ViTECoN.2019.8899448

[7] Hady, A.A. et al. (2020) "Intrusion Detection System for Healthcare Systems Using Medical and Network Data: A Comparison Study," IEEE Access, 8. doi:10.1109/ACCESS.2020.3000421. https://doi.org/10.1109/ACCESS.2020.3000421

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.03621.P1.L1.SQ.BW / SML" by See-ming Lee (SML) is licensed under CC BY-SA 2.0.

I think we all know the answer to this is yes it does matter, but in a new post from Tina Eager https://blogs.canterbury.ac.uk/expertcomment/does-it-matter-that-women-arent-engaging-in-stem// A great case is made of why it matters and why if it does not change it is a problem.

To read more go to: https://blogs.canterbury.ac.uk/expertcomment/does-it-matter-that-women-arent-engaging-in-stem//

Tina Eager is Senior Lecturer in Computing in the School of Engineering, Technology, and Design; Course Director for BEng (Hons) Software Engineering.

Future of Virtual Reality

 Recently Gareth Ward, a member of the Computing Team at Canterbury Christ Church University, shared an insightful post https://blogs.canterbury.ac.uk/expertcomment/the-future-of-virtual-reality/  on Virtual, Extended and Augmented Realities. Including both the technologies and the comparison to other recent disruptive technologies adoption. 

See https://blogs.canterbury.ac.uk/expertcomment/the-future-of-virtual-reality/  for the full post. Originally published as part of the  Canterbury Christ Church University Expert opinion blog.

Gareth Ward is Senior Lecturer in Computing in the School of Engineering, Technology and Design. Gareth is currently studying a Part-Time PhD, looking into the use of Virtual Reality to drive University to Business Collaborative Innovation. More broadly, his academic and research interests include the adoption of XR technologies into areas that traditionally do not use them.

Teaching and subject expertise

• Virtual and Augmented Reality,
• Website Development,
• Human Computer Interaction and User Interface Design,
• Videogames Design and Development,
• Relational Database Design and Development.

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, L., & William Wong, B. L

Proceedings of the Human Factors and Ergonomics Society Annual Meeting

https://doi.org/10.1177/1071181322661092

In this paper, we present a proof-of-concept system to highlight the potential benefits of mimicking higher-order cognitive processes involved in ‘insight seeking’ to create the necessary context for expert sensemaking. We draw upon data from a realistic investigation exercise undertaken by 14 experienced intelligence analysts and use this to develop our prototype to mimic behaviours demonstrated by expert analysts. Our prototype system evaluates different strategies and provides recommendations for an analyst to explore, through a prototype user interface. The recommended strategies, and associated information retrieved, aligns with the actual investigations. We propose that our system presents a novel and promising approach to design AI support systems for tasks that typically require human expert cognitive processes

 

Citation

Hepenstal, S., Zhang, L., & William Wong, B. L. (2022). Designing a System to Mimic Expert Cognition: An Initial Prototype. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 66(1), 2057–2061. https://doi.org/10.1177/1071181322661092