A novel optimization based deep learning with artificial intelligence approach to detect intrusion attack in network system
S Siva Shankar, BT Hung, P Chakrabarti… - Education and …, 2024 - Springer
Modern life is increasingly influenced by networks, making cybersecurity a crucial area of
study. However, due to their few resources and varied makeup, they are more vulnerable to …
study. However, due to their few resources and varied makeup, they are more vulnerable to …
HBFL: A hierarchical blockchain-based federated learning framework for collaborative IoT intrusion detection
The continuous strengthening of the security posture of Internet of Things (IoT) ecosystems
is vital due to the increasing number of interconnected devices and the volume of sensitive …
is vital due to the increasing number of interconnected devices and the volume of sensitive …
Dynamic multi-scale topological representation for enhancing network intrusion detection
M Zhong, M Lin, Z He - Computers & Security, 2023 - Elsevier
Network intrusion detection systems (NIDS) play a crucial role in maintaining network
security. However, current NIDS techniques tend to neglect the topological structures of …
security. However, current NIDS techniques tend to neglect the topological structures of …
A Systematic Review of IoT Security: Research Potential, Challenges, and Future Directions
W Fei, H Ohno, S Sampalli - ACM Computing Surveys, 2023 - dl.acm.org
The Internet of Things (IoT) encompasses a network of physical objects embedded with
sensors, software, and data processing technologies that can establish connections and …
sensors, software, and data processing technologies that can establish connections and …
Collaborative intrusion detection system for sdvn: A fairness federated deep learning approach
With the continuous innovations and development in communication technology and
intelligent transportation systems, a new generation of vehicular ad hoc networks (VANETs) …
intelligent transportation systems, a new generation of vehicular ad hoc networks (VANETs) …
Scalable anomaly-based intrusion detection for secure Internet of Things using generative adversarial networks in fog environment
W Yao, H Shi, H Zhao - Journal of Network and Computer Applications, 2023 - Elsevier
The data generated exponentially by a massive number of devices in the Internet of Things
(IoT) are extremely high-dimensional, large-scale, non-labeled, which poses great …
(IoT) are extremely high-dimensional, large-scale, non-labeled, which poses great …
Heterogeneous domain adaptation for IoT intrusion detection: a geometric graph alignment approach
Data scarcity hinders the usability of data-dependent algorithms when tackling IoT intrusion
detection (IID). To address this, we utilize the data-rich network intrusion detection (NID) …
detection (IID). To address this, we utilize the data-rich network intrusion detection (NID) …
OPTIMIST: lightweight and transparent IDS with optimum placement strategy to mitigate mixed-rate DDoS attacks in IoT networks
Distributed Denial-of-Service (DDoS) attacks are widespread for Internet of Things (IoT)
systems that aim to disrupt the availability of a system completely (high-rate DDoS) or …
systems that aim to disrupt the availability of a system completely (high-rate DDoS) or …
Real-time AI-based anomaly detection and classification in power electronics dominated grids
Real-time anomaly detection system (ADS) and anomaly classification system (ACS)
techniques are becoming a crucial need for future power electronic dominated grid (PEDG) …
techniques are becoming a crucial need for future power electronic dominated grid (PEDG) …
Joint semantic transfer network for IoT intrusion detection
In this article, we propose a joint semantic transfer network (JSTN) toward effective intrusion
detection (ID) for large-scale scarcely labeled Internet of Things (IoT) domain. As a …
detection (ID) for large-scale scarcely labeled Internet of Things (IoT) domain. As a …