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At the dawn of generative AI era: A tutorial-cum-survey on new frontiers in 6G wireless intelligence
As we transition from the 5G epoch, a new horizon beckons with the advent of 6G, seeking a
profound fusion with novel communication paradigms and emerging technological trends …
profound fusion with novel communication paradigms and emerging technological trends …
Design and development of RNN anomaly detection model for IoT networks
Cybersecurity is important today because of the increasing growth of the Internet of Things
(IoT), which has resulted in a variety of attacks on computer systems and networks. Cyber …
(IoT), which has resulted in a variety of attacks on computer systems and networks. Cyber …
Imbalanced tabular data modelization using CTGAN and machine learning to improve IoT Botnet attacks detection
Abstract The Internet of Things (IoT) has been trending in the past few years, posing so
many security problems. IoT Botnets are one of the most serious attacks that threaten the …
many security problems. IoT Botnets are one of the most serious attacks that threaten the …
[HTML][HTML] DIDS: A Deep Neural Network based real-time Intrusion detection system for IoT
The number of people using the Internet of Things (IoT) devices has exploded in recent
years. The instantaneous development in deploying constrained devices in numerous areas …
years. The instantaneous development in deploying constrained devices in numerous areas …
Application of generative adversarial networks in image, face reconstruction and medical imaging: challenges and the current progress
S Sabnam, S Rajagopal - Computer Methods in Biomechanics and …, 2024 - Taylor & Francis
ABSTRACT In deep learning, GANs (Generative Adversarial Networks) are one of the
prominent study areas due to their ability to generate synthetic data thereby solving the …
prominent study areas due to their ability to generate synthetic data thereby solving the …
[PDF][PDF] Detection of cyberattacks using bidirectional generative adversarial network
R Vallabhaneni, SA Vaddadi, S Pillai… - Indonesian Journal of …, 2024 - academia.edu
Due to the progress of communication technologies, diverse information is transmitted in
distributed systems via a network model. Concurrently, with the evolution of communication …
distributed systems via a network model. Concurrently, with the evolution of communication …
[HTML][HTML] Anomaly detection in industrial IoT using distributional reinforcement learning and generative adversarial networks
Anomaly detection is one of the biggest issues of security in the Industrial Internet of Things
(IIoT) due to the increase in cyber attack dangers for distributed devices and critical …
(IIoT) due to the increase in cyber attack dangers for distributed devices and critical …
Generative AI in cyber security of cyber physical systems: Benefits and threats
The advancements in Cyber-Physical Systems (CPSs) have also increased their
vulnerability to various cyber-attacks. Therefore, it is crucial to develop strong cybersecurity …
vulnerability to various cyber-attacks. Therefore, it is crucial to develop strong cybersecurity …
Adversarial attacks and defenses in 6g network-assisted iot systems
The Internet of Things (IoT) and massive IoT systems are key to sixth-generation (6G)
networks due to dense connectivity, ultrareliability, low latency, and high throughput …
networks due to dense connectivity, ultrareliability, low latency, and high throughput …
An efficient intrusion detection system for MQTT-IoT using enhanced chaotic salp swarm algorithm and LightGBM
C Prajisha, AR Vasudevan - International Journal of Information Security, 2022 - Springer
Abstract Internet of Things (IoT) networks are becoming increasingly popular for monitoring
critical environments of various types. For the communication of IoT devices, several …
critical environments of various types. For the communication of IoT devices, several …