[HTML][HTML] Artificial intelligence research: A review on dominant themes, methods, frameworks and future research directions
K Ofosu-Ampong - Telematics and Informatics Reports, 2024 - Elsevier
This article presents an analysis of artificial intelligence (AI) in information systems and
innovation-related journals to determine the current issues and stock of knowledge in AI …
innovation-related journals to determine the current issues and stock of knowledge in AI …
[HTML][HTML] Enhancing Cybersecurity through AI and ML: Strategies, Challenges, and Future Directions
M Roshanaei, MR Khan, NN Sylvester - Journal of Information Security, 2024 - scirp.org
The landscape of cybersecurity is rapidly evolving due to the advancement and integration
of Artificial Intelligence (AI) and Machine Learning (ML). This paper explores the crucial role …
of Artificial Intelligence (AI) and Machine Learning (ML). This paper explores the crucial role …
Security, privacy, and robustness for trustworthy AI systems: A review
MM Saeed, M Alsharidah - Computers and Electrical Engineering, 2024 - Elsevier
This review article provides a comprehensive exploration of the key pillars of trustworthy AI:
security privacy and robustness. The article delved into security measures both traditional …
security privacy and robustness. The article delved into security measures both traditional …
A novel hybrid convolutional neural network-and gated recurrent unit-based paradigm for IoT network traffic attack detection in smart cities
BB Gupta, KT Chui, A Gaurav, V Arya, P Chaurasia - Sensors, 2023 - mdpi.com
Internet of Things (IoT) devices within smart cities, require innovative detection methods.
This paper addresses this critical challenge by introducing a deep learning-based approach …
This paper addresses this critical challenge by introducing a deep learning-based approach …
Establishing Consumer Trust Through Data Protection Law as a Competitive Advantage in Indonesia and India
RA Prastyanti, R Sharma - Journal of Human Rights, Culture and Legal …, 2024 - jhcls.org
Data protection laws play a crucial role in enhancing consumer trust in the digital economy,
especially with the rise of online cybersecurity threats due to firm expansion. Despite …
especially with the rise of online cybersecurity threats due to firm expansion. Despite …
[HTML][HTML] Seat belt detection using gated Bi-LSTM with part-to-whole attention on diagonally sampled patches
One of the high-risk behaviors leading to severe traffic injuries is not wearing a seat belt. It is
therefore very important to be able to automatically detect seat belts from surveillance …
therefore very important to be able to automatically detect seat belts from surveillance …
[PDF][PDF] CNN Channel Attention Intrusion Detection System Using NSL-KDD Dataset.
FS Alrayes, M Zakariah, SU Amin… - … Materials & Continua, 2024 - cdn.techscience.cn
Intrusion detection systems (IDS) are essential in the field of cybersecurity because they
protect networks from a wide range of online threats. The goal of this research is to meet the …
protect networks from a wide range of online threats. The goal of this research is to meet the …
Assessing the effectiveness of dimensionality reduction on the interpretability of opaque machine learning-based attack detection systems
Commonly used in cybersecurity defense, most machine learning-based intrusion detection
systems (ML-IDSs) rely on black box classifiers for accurate intrusion classification …
systems (ML-IDSs) rely on black box classifiers for accurate intrusion classification …
Intrusion Detection With Deep Learning Classifiers: A Synergistic Approach of Probabilistic Clustering and Human Expertise to Reduce False Alarms
Intrusion detection systems (IDS) have seen an increasing number of proposals by
researchers utilizing deep learning (DL) to safeguard critical networks. However, they often …
researchers utilizing deep learning (DL) to safeguard critical networks. However, they often …
An explainable nature-inspired cyber attack detection system in Software-Defined IoT applications
C Kumar, MSA Ansari - Expert Systems with Applications, 2024 - Elsevier
The integration of the Internet of Things with Software-Defined Networking offers a flexible
approach to managing Software-Defined Internet of Things (SD-IoT) applications. However …
approach to managing Software-Defined Internet of Things (SD-IoT) applications. However …