Prof. Muhammad Ashad Kabir
School of Computing, Mathematics and Engineering, Charles Sturt University, Bathurst, New South Wales, Australia
'%3e%3cpath%20d='M22.1642%2019.0924C21.7317%2018.068%2021.1041%2017.1375%2020.3163%2016.3527C19.5309%2015.5656%2018.6006%2014.9381%2017.5766%2014.5048C17.5674%2014.5002%2017.5582%2014.4979%2017.5491%2014.4933C18.9774%2013.4616%2019.9059%2011.7811%2019.9059%209.88504C19.9059%206.74408%2017.3611%204.19922%2014.2201%204.19922C11.0792%204.19922%208.53429%206.74408%208.53429%209.88504C8.53429%2011.7811%209.46282%2013.4616%2010.8912%2014.4956C10.882%2014.5002%2010.8728%2014.5025%2010.8636%2014.5071C9.83652%2014.9404%208.91487%2015.5617%208.1239%2016.355C7.33685%2017.1404%206.70933%2018.0707%206.276%2019.0947C5.85031%2020.0972%205.62072%2021.172%205.59967%2022.2609C5.59905%2022.2853%205.60335%2022.3097%205.61229%2022.3325C5.62123%2022.3553%205.63465%2022.376%205.65174%2022.3935C5.66883%2022.4111%205.68926%2022.425%205.71182%2022.4345C5.73437%2022.444%205.7586%2022.4489%205.78308%2022.4489H7.15868C7.25956%2022.4489%207.3398%2022.3686%207.3421%2022.2701C7.38795%2020.5001%208.09868%2018.8425%209.35506%2017.5861C10.655%2016.2862%2012.3814%2015.5709%2014.2201%2015.5709C16.0588%2015.5709%2017.7852%2016.2862%2019.0852%2017.5861C20.3415%2018.8425%2021.0523%2020.5001%2021.0981%2022.2701C21.1004%2022.3709%2021.1807%2022.4489%2021.2815%2022.4489H22.6571C22.6816%2022.4489%2022.7058%2022.444%2022.7284%2022.4345C22.751%2022.425%2022.7714%2022.4111%2022.7885%2022.3935C22.8056%2022.376%2022.819%2022.3553%2022.8279%2022.3325C22.8369%2022.3097%2022.8412%2022.2853%2022.8406%2022.2609C22.8176%2021.165%2022.5907%2020.0989%2022.1642%2019.0924ZM14.2201%2013.8284C13.1678%2013.8284%2012.1773%2013.418%2011.4322%2012.6729C10.6871%2011.9278%2010.2767%2010.9374%2010.2767%209.88504C10.2767%208.83271%2010.6871%207.84227%2011.4322%207.09715C12.1773%206.35204%2013.1678%205.94165%2014.2201%205.94165C15.2724%205.94165%2016.2629%206.35204%2017.008%207.09715C17.7531%207.84227%2018.1635%208.83271%2018.1635%209.88504C18.1635%2010.9374%2017.7531%2011.9278%2017.008%2012.6729C16.2629%2013.418%2015.2724%2013.8284%2014.2201%2013.8284Z'%20fill='%238590A2'/%3e%3c/g%3e%3c/svg%3e)
Co-authors
Following
Followers
Research Focus & Metrics
Explore full metrics on Scilit
Academic Career Length
19Years (2008-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
View All Publications1 July 2024 in International Journal of Data Science and Analytics
Journal Article
NSNeeraj Anand Sharma
Neeraj Anand SharmaAAA B M Shawkat Ali
A B M Shawkat AliMuhammad Ashad Kabir6 April 2021 in Health Information Science and Systems
Journal Article
DHDelowar Hossain
Delowar HossainMuhammad Ashad Kabir
Aman Maung Than OoZIZahidul Islam
Zahidul Islam17 March 2022 in Computers in Biology and Medicine
Journal Article
NCNihad Karim Chowdhury
Nihad Karim ChowdhuryMuhammad Ashad KabirMRMuhtadir Rahman
Muhtadir Rahman
Sheikh Mohammed Shariful Islam1 August 2018
Conference Paper
Jabed ChowdhuryACAlan Colman
Alan Colman
Muhammad Ashad KabirJHJun Han
Jun Han
PSPaul Sarda
Paul Sarda
In recent times, Bitcoin has gained special attention both from industry and academia. The underlying technology that enables Bitcoin (or more generally crypto-currency) is called blockchain. At the core of the blockchain technology is a data structure that keeps record of the transactions in the network. The special feature that distinguishes it from existing technology is its immutability of the stored records. To achieve immutability, it uses consensus and cryptographic mechanisms. As the data is stored in distributed nodes this technology is also termed as "Distributed Ledger Technology (DLT)". As many researchers and practitioners are joining the hype of blockchain, some of them are raising the question about the fundamental difference between blockchain and traditional database and its real value or potential. In this paper, we present a critical analysis of both technologies based on a survey of the research literature where blockchain solutions are applied to various scenarios. Based on this analysis, we further develop a decision tree diagram that will help both practitioners and researchers to choose the appropriate technology for their use cases. Using our proposed decision tree we evaluate a sample of the existing works to see to what extent the blockchain solutions have been used appropriately in the relevant problem domains.
Journal Article
NFNuruzzaman Faruqui
Nuruzzaman FaruquiMYMohammad Abu Yousuf
Mohammad Abu YousufMWMd Whaiduzzaman
Md WhaiduzzamanAAA. K. M. Azad
A. K. M. AzadSASalem A. Alyami
Salem A. AlyamiMMMohammad Ali Moni
Mohammad Ali Moni +2
The Internet of Medical Things (IoMT) has become an attractive playground to cybercriminals because of its market worth and rapid growth. These devices have limited computational capabilities, which ensure minimum power absorption. Moreover, the manufacturers use simplified architecture to offer a competitive price in the market. As a result, IoMTs cannot employ advanced security algorithms to defend against cyber-attacks. IoMT has become easy prey for cybercriminals due to its access to valuable data and the rapidly expanding market, as well as being comparatively easier to exploit.As a result, the intrusion rate in IoMT is experiencing a surge. This paper proposes a novel Intrusion Detection System (IDS), namely SafetyMed, combining Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) networks to defend against intrusion from sequential and grid data. SafetyMed is the first IDS that protects IoMT devices from malicious image data and sequential network traffic. This innovative IDS ensures an optimized detection rate by trade-off between False Positive Rate (FPR) and Detection Rate (DR). It detects intrusions with an average accuracy of 97.63% with average precision and recall, and has an F1-score of 98.47%, 97%, and 97.73%, respectively. In summary, SafetyMed has the potential to revolutionize many vulnerable sectors (e.g., medical) by ensuring maximum protection against IoMT intrusion.
1 January 2022 in Artificial Intelligence in Agriculture
Journal Article
EHEkramul Hossain
Ekramul Hossain
Muhammad Ashad Kabir
Lihong ZhengDSDave L. Swain
Dave L. Swain
SMShawn McGrath
Shawn McGrath
JMJonathan Medway
Jonathan Medway
About Me
Dr. Ashad Kabir is a Full Professor in Computer Science and the Deputy Leader of the Data Mining Research at Charles Sturt University, Australia. He has over fifteen years of teaching and research experience at several universities, including Nanyang Technological University (Singapore), Deakin University (Australia), Swinburne University of Technology (Australia), University of Nantes (France), and Pusan National University (South Korea). Over the years, Prof. Kabir has been involved in several projects from different industries/institutions, including Rolls-Royce (Singapore), Samsung (South Korea), INRIA (France), and Computer Associates (Australia). Prof. Kabir received his Ph.D. from the Swinburne University of Technology, Melbourne, Australia. He has been invited to visit the University of Toronto (Canada), York University (Canada), University of Maryland (USA), Texas A&M University - Kingsville (USA), Auckland University of Technology (New Zealand), Chandigarh University (India), Universitas Amikom Yogyakarta (Indonesia) and King Abdul-Aziz University (Saudi Arabia) as a guest speaker/keynote speaker/visiting scholar. He is a member of ACM and Senior Member of IEEE. He has published over 90 peer-reviewed articles in top-tier conferences and journals. He is a recipient of the Charles Sturt Faculty Researcher of the Year Award 2022. He is a guest editor of Electronics (MDPI) and an associate editor of the Frontiers in Digital Health and Connected Health journals.