| Classification of Skin Disease Using Deep Learning Neural Networks with MobileNet V2 and LSTM PN Srinivasu, JG SivaSai, MF Ijaz, AK Bhoi, W Kim, JJ Kang Sensors 21 (8), 2852, 2021 | 632 | 2021 |
| A comprehensive review on machine learning in healthcare industry: classification, restrictions, opportunities and challenges Q An, S Rahman, J Zhou, JJ Kang Sensors 23 (9), 4178, 2023 | 162 | 2023 |
| A review of security protocols in mHealth wireless body area networks (WBAN) J Kang, S Adibi Future Network Systems and Security: First International Conference, FNSS …, 2015 | 58 | 2015 |
| No Soldiers Left Behind: An IoT-based Low-Power Military Mobile Health System Design JJ Kang IEEE Access 8 (https://ieeexplore.ieee.org/document/924), 1-18, 2020 | 57 | 2020 |
| DoS/DDoS-MQTT-IoT: A dataset for evaluating intrusions in IoT networks using the MQTT protocol A Alatram, LF Sikos, M Johnstone, P Szewczyk, JJ Kang Computer Networks 231, 109809, 2023 | 45 | 2023 |
| Hybrid routing for Man-in-the-Middle (MITM) attack detection in IoT networks JJ Kang, K Fahd, S Venkatraman, R Trujillo-Rasua, P Haskell-Dowland 2019 29th International Telecommunication Networks and Applications …, 2019 | 43 | 2019 |
| MalBoT-DRL: Malware botnet detection using deep reinforcement learning in IoT networks M Al-Fawa’reh, J Abu-Khalaf, P Szewczyk, JJ Kang IEEE Internet of Things Journal, 2023 | 40 | 2023 |
| A linear convolution-based cancelable fingerprint biometric authentication system W Yang, S Wang, JJ Kang, MN Johnstone, A Bedari Computers & Security 114, 102583, 2022 | 30 | 2022 |
| Predictive data mining for converged Internet of Things: A mobile health perspective JJ Kang, S Adibi, H Larkin, T Luan 2015 International telecommunication networks and applications conference …, 2015 | 28 | 2015 |
| Secure fingerprint authentication with homomorphic encryption W Yang, S Wang, K Yu, JJ Kang, MN Johnstone 2020 Digital Image Computing: Techniques and Applications (DICTA), 1-6, 2020 | 23 | 2020 |
| An inference system framework for personal sensor devices in mobile health and internet of things networks J Kang Deakin University, 2017 | 22 | 2017 |
| An Energy-Efficient and Secure Data Inference Framework for Internet of Health Things: A Pilot Study JJ Kang Sensors 21 (https://doi.org/10.3390/s21010312), 312, 2021 | 19 | 2021 |
| Systematic Analysis of Security Implementation for Internet of Health Things in Mobile Health Networks JJ Kang Data Science in Cybersecurity and Cyberthreat Intelligence, pp 87-113, 2020 | 19 | 2020 |
| Intelligent Personal Health Devices Converged with Internet of Things Networks JJ Kang, H Larkin Journal of Mobile Multimedia 12 (3&4), 197-212, 2017 | 19 | 2017 |
| Application of an Emergency Alarm System for Physiological Sensors Utilizing Smart Devices J Kang, H Larkin MDPI technologies 5 (2), 2017 | 16 | 2017 |
| Data processing of physiological sensor data and alarm determination utilising activity recognition JJ Kang, T Luan, H Larkin Int. J. Inf. Commun. Technol. Appl 2 (1), 108-131, 2016 | 16 | 2016 |
| Inference of personal sensors in the internet of things JJ Kang, H Larkin International Journal of Information, Communication Technology and …, 2016 | 16 | 2016 |
| Enhancement of sensor data transmission by inference and efficient data processing JJ Kang, TH Luan, H Larkin Applications and Techniques in Information Security: 6th International …, 2016 | 16 | 2016 |
| A Privacy-Preserving Data Inference Framework for Internet of Health Things Networks JJ Kang, M Dibaei, G Luo, W Yang, X Zheng The 19th IEEE International Conference on Trust, Security and Privacy in …, 2021 | 15 | 2021 |
| Trusted time-based verification model for automatic man-in-the-middle attack detection in cybersecurity JJ Kang, K Fahd, S Venkatraman Cryptography 2 (4), 38, 2018 | 15 | 2018 |
Sasan AdibiFaculty Member, School of Information Technology, Deakin University, Melbourne, AustraliaVerified email at deakin.edu.au
