Network intrusion detection system: A systematic study of machine learning and deep learning approaches

Z Ahmad, A Shahid Khan, C Wai Shiang… - Transactions on …, 2021 - Wiley Online Library
The rapid advances in the internet and communication fields have resulted in a huge
increase in the network size and the corresponding data. As a result, many novel attacks are …

Comparative analysis of intrusion detection systems and machine learning-based model analysis through decision tree

Z Azam, MM Islam, MN Huda - IEEE Access, 2023 - ieeexplore.ieee.org
Cyber-attacks pose increasing challenges in precisely detecting intrusions, risking data
confidentiality, integrity, and availability. This review paper presents recent IDS taxonomy, a …

When digital economy meets web3. 0: Applications and challenges

C Chen, L Zhang, Y Li, T Liao, S Zhao… - IEEE Open Journal …, 2022 - ieeexplore.ieee.org
With the continuous development of web technology, Web3. 0 has attracted a considerable
amount of attention due to its unique decentralized characteristics. The digital economy is an …

Emerging smart logistics and transportation using IoT and blockchain

M Humayun, NZ Jhanjhi, B Hamid… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Transportation and logistics management play a vital role in the development of a country.
With the advancement of the Internet of Things (IoT) devices, smart transportation is …

[HTML][HTML] Anomaly detection using deep neural network for IoT architecture

Z Ahmad, A Shahid Khan, K Nisar, I Haider, R Hassan… - Applied Sciences, 2021 - mdpi.com
The revolutionary idea of the internet of things (IoT) architecture has gained enormous
popularity over the last decade, resulting in an exponential growth in the IoT networks …

[HTML][HTML] Implementation of blockchain technology in integrated IoT networks for constructing scalable ITS systems in India

A Kharche, S Badholia, RK Upadhyay - Blockchain: Research and …, 2024 - Elsevier
The implementation of blockchain technology in integrated IoT networks for constructing
scalable Intelligent Transportation Systems (ITSs) in India has the potential to revolutionize …

Robust spammer detection using collaborative neural network in Internet-of-Things applications

Z Guo, Y Shen, AK Bashir, M Imran… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
Spamming is emerging as a key threat to the Internet of Things (IoT)-based social media
applications. It will pose serious security threats to the IoT cyberspace. To this end, artificial …

[HTML][HTML] The case of HyperLedger Fabric as a blockchain solution for healthcare applications

MS Antwi, A Adnane, F Ahmad, R Hussain… - Blockchain: Research …, 2021 - Elsevier
The healthcare industry deals with highly sensitive data which must be managed in a secure
way. Electronic Health Records (EHRs) hold various kinds of personal and sensitive data …

A spectrogram image-based network anomaly detection system using deep convolutional neural network

AS Khan, Z Ahmad, J Abdullah, F Ahmad - IEEE access, 2021 - ieeexplore.ieee.org
The dynamics of computer networks have changed rapidly over the past few years due to a
tremendous increase in the volume of the connected devices and the corresponding …

[HTML][HTML] Amalgamation of Blockchain with resource-constrained IoT devices for Healthcare applications–State of Art, Challenges and Future Directions

P Hegde, PKR Maddikunta - … Journal of Cognitive Computing in Engineering, 2023 - Elsevier
Healthcare is an emerging sector with the integration of emerging technologies aiming to
improve Quality of Life of an individual through various medical services. Most of the …