A survey of explainable artificial intelligence for smart cities

AR Javed, W Ahmed, S Pandya, PKR Maddikunta… - Electronics, 2023 - mdpi.com
The emergence of Explainable Artificial Intelligence (XAI) has enhanced the lives of humans
and envisioned the concept of smart cities using informed actions, enhanced user …

Combating the challenges of false positives in AI-driven anomaly detection systems and enhancing data security in the cloud

O Olateju, SU Okon, U Igwenagu… - Available at SSRN …, 2024 - papers.ssrn.com
Anomaly detection is critical for network security, fraud detection, and system health
monitoring applications. Traditional methods like statistical approaches and distance-based …

A data-driven network intrusion detection system using feature selection and deep learning

L Zhang, K Liu, X Xie, W Bai, B Wu, P Dong - Journal of Information Security …, 2023 - Elsevier
Network intrusion detection system (NIDS) is an important line of defense for network
security as network attacks become more frequent. In this paper, we propose a data-driven …

Adaptive and convex optimization-inspired workflow scheduling for cloud environment

K Lakhwani, G Sharma, R Sandhu… - International Journal of …, 2023 - igi-global.com
Scheduling large-scale and resource-intensive workflows in cloud infrastructure is one of the
main challenges for cloud service providers (CSPs). Cloud infrastructure is more efficient …

Security computing resource allocation based on deep reinforcement learning in serverless multi-cloud edge computing

H Zhang, J Wang, H Zhang, C Bu - Future Generation Computer Systems, 2024 - Elsevier
Handling computationally intensive tasks is challenging for user devices (UDs) with limited
computing resources. Serverless cloud edge computing solves this problem and reduces …

AI-empowered malware detection system for industrial internet of things

SK Smmarwar, GP Gupta, S Kumar - Computers and Electrical Engineering, 2023 - Elsevier
With the significant growth in Industrial Internet of Things (IIoT) technologies, various IIoT-
based applications have emerged in the last decade. In recent years, various malware …

Machine learning-based distributed denial of services (DDoS) attack detection in intelligent information systems

W Alhalabi, A Gaurav, V Arya, IF Zamzami… - … Journal on Semantic …, 2023 - igi-global.com
The danger of distributed denial of service (DDoS) attacks has grown in tandem with the
proliferation of intelligent information systems. Because of the sheer volume of connected …

Ensemble-Learning-based decision support system for energy-theft detection in smart-grid environment

F Mohammad, K Saleem, J Al-Muhtadi - Energies, 2023 - mdpi.com
Theft of electricity poses a significant risk to the public and is the most costly non-technical
loss for an electrical supplier. In addition to affecting the quality of the energy supply and the …

Deep learning-based network anomaly detection and classification in an imbalanced cloud environment

AD Vibhute, V Nakum - Procedia Computer Science, 2024 - Elsevier
With the advancements in computer networking, communication between end-to-end
systems has increased drastically. However, security issues have also been raised. Thus …

An LSTM‐based novel near‐real‐time multiclass network intrusion detection system for complex cloud environments

AD Vibhute, M Khan, A Kanade, CH Patil… - Concurrency and …, 2024 - Wiley Online Library
The Internet is connected with everyone for sharing and monitoring digital information.
However, securing network resources from malicious activities is critical for several …