Denial of service attacks in edge computing layers: Taxonomy, vulnerabilities, threats and solutions
Edge computing has emerged as the dominant communication technology connecting IoT
and cloud, offering reduced latency and harnessing the potential of edge devices. However …
and cloud, offering reduced latency and harnessing the potential of edge devices. However …
AI-empowered trajectory anomaly detection for intelligent transportation systems: A hierarchical federated learning approach
The vigorous development of positioning technology and ubiquitous computing has
spawned trajectory big data. By analyzing and processing the trajectory big data in the form …
spawned trajectory big data. By analyzing and processing the trajectory big data in the form …
A novel blockchain-based deepfake detection method using federated and deep learning models
In recent years, the proliferation of deep learning (DL) techniques has given rise to a
significant challenge in the form of deepfake videos, posing a grave threat to the authenticity …
significant challenge in the form of deepfake videos, posing a grave threat to the authenticity …
Vehicle detection and classification via YOLOv8 and deep belief network over aerial image sequences
Vehicle detection and classification are the most significant and challenging activities of an
intelligent traffic monitoring system. Traditional methods are highly computationally …
intelligent traffic monitoring system. Traditional methods are highly computationally …
Efficient reinforcement learning-based method for plagiarism detection boosted by a population-based algorithm for pretraining weights
Plagiarism detection (PD) in natural language processing involves locating similar words in
two distinct sources. The paper introduces a new approach to plagiarism detection utilizing …
two distinct sources. The paper introduces a new approach to plagiarism detection utilizing …
[HTML][HTML] A novel framework for capacitated SDN controller placement: Balancing latency and reliability with PSO algorithm
Abstract Software Defined Networking (SDN) is a new network architecture theoretical
framework, which based on the partition of the control plane and the data plane. Some of the …
framework, which based on the partition of the control plane and the data plane. Some of the …
Generative ai for cyber security: Analyzing the potential of chatgpt, dall-e and other models for enhancing the security space
This research paper intends to provide real-life applications of Generative AI (GAI) in the
cybersecurity domain. The frequency, sophistication and impact of cyber threats have …
cybersecurity domain. The frequency, sophistication and impact of cyber threats have …
A systematic review on elliptic curve cryptography algorithm for internet of things: Categorization, application areas, and security
Cyberattacks on the Internet of Things (IoT) may be avoided by implementing cybersecurity
protocols on IoT devices, platform packages, and Internet tools. A significant problem is …
protocols on IoT devices, platform packages, and Internet tools. A significant problem is …
A review of video-based human activity recognition: theory, methods and applications
Video-based human activity recognition (HAR) is an important task in many fields, such as
healthcare monitoring, video surveillance, and sports analysis. This review paper aims to …
healthcare monitoring, video surveillance, and sports analysis. This review paper aims to …
Towards improving community detection in complex networks using influential nodes
H Zheng, H Zhao, G Ahmadi - Journal of Complex Networks, 2024 - academic.oup.com
Complex network analysis is inspired by empirical studies of real-world networks such as
computer networks, technology networks and social networks. The analysis of community …
computer networks, technology networks and social networks. The analysis of community …