Investigating the security issues of multi-layer IoT attacks using machine learning techniques

Book chapter


Al Sukhni, Badeea, Dave, Jugal M., Manna, Soumya K. and Zhang, Leishi 2022. Investigating the security issues of multi-layer IoT attacks using machine learning techniques. in: 2022 Human-Centered Cognitive Systems (HCCS) IEEE.
AuthorsAl Sukhni, Badeea, Dave, Jugal M., Manna, Soumya K. and Zhang, Leishi
Abstract

The rapid growth of the IoT applications in smart homes, medical devices and industry 4.0 has brought huge benefits to our society and industry however faces several challenges in terms of security and privacy issues. Due to its heterogeneous architecture, lack of standard security frameworks between layers, lack of secured communication protocols and lack of resources of power, memory and cryptographic functions on edge control, current IoT devices are prone to security attacks at all three main layers: application, network, and physical layer. While there are some attacks such as Sybil, Blackhole, and Malware usually target a specific layer of IoT architecture, other attacks like DDoS and MITM can compromise the security across multiple layers. These types of attacks not only result in the loss of control over sensitive data and the theft of personal information, but they also result in financial and reputational damages. In recent years, the majority of the research has been carried out to develop robust intrusion detection technologies to safeguard the IoT from a wide range of security attacks, either through novel secure network protocols, the use of firmware or encryption techniques. It is also important to detect IoT attacks at different layers while securing it. Consequently various supervised and unsupervised machine learning (ML) techniques have been found to be effective in detecting them. There is still a lack of research for detecting multilayer attacks as well as new types of attacks in IoT devices. Hence a thorough investigation of multi-layer Intrusion Detection Systems (IDS) is provided in this article to identify a wide variety of multi-layer attacks and their behavioural patterns. The list of effective ML algorithms is also reviewed along with their training datasets. We have highlighted the challenges and opportunities for future directions of multi-layer intrusion detection research through the taxonomy of multi-layer attacks. We aim to develop a novel computational framework by investigating the similarities in the features of multi-layer attacks for training ML models to overcome existing problems.

KeywordsInternet of Things; Cyber security
Year2022
Book title2022 Human-Centered Cognitive Systems (HCCS)
PublisherIEEE
Output statusPublished
ISBN9781665450416
9781665450423
Publication dates
Online17 Dec 2022
Publication process dates
Deposited17 Apr 2023
Digital Object Identifier (DOI)https://doi.org/10.1109/hccs55241.2022.10090400
Official URLhttps://ieeexplore.ieee.org/abstract/document/10090400
Journal2022 Human-Centered Cognitive Systems (HCCS)
Permalink -

https://repository.canterbury.ac.uk/item/94621/investigating-the-security-issues-of-multi-layer-iot-attacks-using-machine-learning-techniques

  • 84
    total views
  • 0
    total downloads
  • 2
    views this month
  • 0
    downloads this month

Export as

Related outputs

Impact of CDIO framework pedagogical approach adoption on the student learning and experience
Nortcliffe, A., Matei, G., Malik, M., Manna, S., Sheikholeslami, G. and James, H. 2024. Impact of CDIO framework pedagogical approach adoption on the student learning and experience.
Design of IoT-based smart energy meter for e-billing and prepaid electricity
Sinha, D., Bhrahmachary, S., Bhattacharya, S., Chaudhuri, N., Manna, S. and Bandyopadhyay, C. 2024. Design of IoT-based smart energy meter for e-billing and prepaid electricity. https://doi.org/10.1007/978-981-97-3485-6_22
Bio-inspired soft pneumatic gripper for agriculture harvesting
Clark, A., Goodsell-Carpenter, L., Buckow, P., Hewett, D., White, F., Imam, A., Naz, N., Robinson, B., Manna, S. and Ahmed, A. 2024. Bio-inspired soft pneumatic gripper for agriculture harvesting.
A qualitative review of educational robots for STEM: Technical features and impacts
Manna, Soumya Kanti, Azhar, M. A. Hannan Bin and Greace, Ann 2024. A qualitative review of educational robots for STEM: Technical features and impacts. in: Proceedings of the International Convention MIPRO IEEE.
Utilization of ChatGPT in CDIO projects to enhance the literacy of international students
Manna, S., Williams, S., Richmond-Fuller, A. and Nortcliffe, A. 2024. Utilization of ChatGPT in CDIO projects to enhance the literacy of international students.
Innovative assistive device to enhance wrist drop treatment in patients
Trainer, C., Manna, S. and Azhar, H. 2024. Innovative assistive device to enhance wrist drop treatment in patients. in: Costin, H-N., Magjarević, R. and Petroiu, G. G. (ed.) Advances in Digital Health and Medical Bioengineering: Proceedings of the 11th International Conference on E-Health and Bioengineering, EHB-2023, November 9–10, 2023, Bucharest, Romania – Volume 2: Health Technology Assessment, Biomedical Signal Processing, Medicine and Informatics Cham Springer. pp. 489-497
Tele-controlled upper arm exoskeleton for post-stroke recovery
Manna, S., Khan, A., Dilley, O. and Azhar, H. 2024. Tele-controlled upper arm exoskeleton for post-stroke recovery. in: Costin, H-N, Magjarević, R. and Petroiu, G. G. (ed.) Advances in Digital Health and Medical Bioengineering Cham Springer. pp. 478-488
Investigating security issues (multilayer attacks) on IoT devices using machine learning
Al Sukhni, B., Manna, S., Dave, J. and Zhang, L. 2024. Investigating security issues (multilayer attacks) on IoT devices using machine learning.
Safeguarding IoMT: Semi-automated Intrusion Detection System (SAIDS) for detecting multilayer attacks
Al Sukhni, B., Manna, S., Dave, J. and Zhang, L. 2024. Safeguarding IoMT: Semi-automated Intrusion Detection System (SAIDS) for detecting multilayer attacks.
An interactive web portal for customised telerehabilitation in neurological care
Hannan Bin Azhar, M A, Mészáros, Zoltán, Islam, Tasmina and Manna, Soumya K. 2023. An interactive web portal for customised telerehabilitation in neurological care. in: 2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) IEEE. pp. 1814-1821
Exploring optimal set of features in machine learning for improving IoT multilayer security
Al Sukhni, B., Manna, S., Dave, J. and Zhang, Leishi 2023. Exploring optimal set of features in machine learning for improving IoT multilayer security. 2023 IEEE 9th World Forum on Internet of Things (WF-IoT). https://doi.org/10.1109/wf-iot58464.2023.10539376
Integration of graduate employability skills through industry outsourced CDIO project
Manna, S., Joyce, N. and Nortcliffe, A. 2023. Integration of graduate employability skills through industry outsourced CDIO project. in: Lyng, R., Bennedsen, J., Bettaied, L., Bodsberg, N. R., Edstrom, K., Guojonsdottir, M. S., Roslof, J., Solbjord, O. K. and Oien, G. (ed.) The 19th CDIO International Conference: Proceedings - Full Papers NTNU SEED. pp. 425-435
Optimal locations and computational frameworks of FSR and IMU sensors for measuring gait abnormalities
Manna, S., Azhar, H. and Greace, A. 2023. Optimal locations and computational frameworks of FSR and IMU sensors for measuring gait abnormalities. Heliyon. 9 (4), p. e15210. https://doi.org/10.1016/j.heliyon.2023.e15210
Machine learning-based solutions for securing IoT systems against multilayer attacks
Al Sukhni, B., Manna, S., Dave, J. and Zhang, L. 2022. Machine learning-based solutions for securing IoT systems against multilayer attacks. in: Singh Tomar, R., Verma, S., Kumar Chaurasia, B., Singh, V., Abawajy, J. H., Akashe, S., Hsiung, Pao-Ann and Prasad, R. (ed.) Communication, Networks and Computing Third International Conference, CNC 2022, Gwalior, India, December 8–10, 2022, Proceedings, Part I Cham Springer. pp. 140-153
Investigating the security issues of multi-layer IoMT attacks using machine learning techniques
Al Sukhni, B., Manna, S., Dave, J. and Zhang, L. 2022. Investigating the security issues of multi-layer IoMT attacks using machine learning techniques.
Accuracy and repeatability study of an elbow exoskeleton for multistage exercises
Manna, Soumya K 2022. Accuracy and repeatability study of an elbow exoskeleton for multistage exercises. in: 2022 20th International Conference on Mechatronics - Mechatronika (ME) IEEE.
A smart and home-based telerehabilitation tool for patients with neuromuscular disorder
Manna, Soumya K., Hannan, M. A., Azhar, B., Smith, D. and Islam, T. 2022. A smart and home-based telerehabilitation tool for patients with neuromuscular disorder. IEEE. https://doi.org/10.1109/iecbes54088.2022.10079410
Evaluation of students’ performance in CDIO projects through blended learning
Manna, S., Battikh, N., Nortcliffe, A. and Camm, J. 2022. Evaluation of students’ performance in CDIO projects through blended learning.
A smart and secure IoMT tele-neurorehabilitation framework for post-stroke patients
Manna, S., Azhar, H. and Sakel, M. 2022. A smart and secure IoMT tele-neurorehabilitation framework for post-stroke patients. in: Bhaumik, S., Chattopadhyay, S., Chattopadhyay, T. and Bhattacharya, S. (ed.) Proceedings of International Conference on Industrial Instrumentation and Control ICI2C 2021 Singapore Springer. pp. 11-20
Enhancing hands-on skills under capstone CDIO project using blended learning approach
Manna, S., Battikh, N. and Camm, J. 2021. Enhancing hands-on skills under capstone CDIO project using blended learning approach . Sheffield
An inclusive student-led online class test during the pandemic
Manna, S. and Azhar, H. 2021. An inclusive student-led online class test during the pandemic . Assessment and Feedback Symposium 2021.
Adaptive and flexible online learning during Covid19 lockdown
Manna, S., Nortcliffe, A., Sheikholeslami, G. and Richmond-Fuller, A. 2021. Adaptive and flexible online learning during Covid19 lockdown.
Developing engineering growth mindset through CDIO outreach activities
Manna, S., Nortcliffe, A. and Sheikholeslami, G. 2020. Developing engineering growth mindset through CDIO outreach activities. in: Proceedings of the 16th International CDIO Conference Gothenburg, Sweden CDIO.
Design of a game-based rehabilitation system using Kinect sensor
Manna, S. and Dubuy, V. N. 2019. Design of a game-based rehabilitation system using Kinect sensor. Minneapolis, MN, USA ASME.
Assessment of joint parameters in a Kinect sensor based rehabilitation game
Manna, S. and Dubey, V. N. 2019. Assessment of joint parameters in a Kinect sensor based rehabilitation game. Anaheim, California, USA ASME.
Rehabilitation strategy for post-stroke recovery using an innovative elbow exoskeleton
Manna, S. and Dubey, V. N. 2019. Rehabilitation strategy for post-stroke recovery using an innovative elbow exoskeleton. Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine. 233 (6), pp. 668-680. https://doi.org/10.1177/0954411919847058
A portable elbow exoskeleton for three stages of rehabilitation
Manna, S. and Dubey, V. N. 2019. A portable elbow exoskeleton for three stages of rehabilitation. Journal of Mechanisms and Robotics. 11 (6), p. 065002. https://doi.org/10.1115/1.4044535