Towards secure intrusion detection systems using deep learning techniques: Comprehensive analysis and review
Providing a high-performance Intrusion Detection System (IDS) can be very effective in
controlling malicious behaviors and cyber-attacks. Regarding the ever-growing negative …
controlling malicious behaviors and cyber-attacks. Regarding the ever-growing negative …
A comprehensive survey of generative adversarial networks (GANs) in cybersecurity intrusion detection
Generative Adversarial Networks (GANs) have seen significant interest since their
introduction in 2014. While originally focused primarily on image-based tasks, their capacity …
introduction in 2014. While originally focused primarily on image-based tasks, their capacity …
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 …
smote-drnn: A deep learning algorithm for botnet detection in the internet-of-things networks
Nowadays, hackers take illegal advantage of distributed resources in a network of
computing devices (ie, botnet) to launch cyberattacks against the Internet of Things (IoT) …
computing devices (ie, botnet) to launch cyberattacks against the Internet of Things (IoT) …
A framework for anomaly detection in IoT networks using conditional generative adversarial networks
I Ullah, QH Mahmoud - IEEE Access, 2021 - ieeexplore.ieee.org
While anomaly detection and the related concept of intrusion detection are widely studied,
detecting anomalies in new operating behavior in environments such as the Internet of …
detecting anomalies in new operating behavior in environments such as the Internet of …
A survey on machine-learning based security design for cyber-physical systems
A cyber-physical system (CPS) is the integration of a physical system into the real world and
control applications in a computing system, interacting through a communications network …
control applications in a computing system, interacting through a communications network …
At the Dawn of Generative AI Era: A tutorial-cum-survey on new frontiers in 6G wireless intelligence
A Celik, AM Eltawil - IEEE Open Journal of the …, 2024 - ieeexplore.ieee.org
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 …
Effective multitask deep learning for iot malware detection and identification using behavioral traffic analysis
Despite the benefits of the Internet of Things (IoT), the growing influx of IoT-specific malware
coordinating large-scale cyberattacks via infected IoT devices has created a substantial …
coordinating large-scale cyberattacks via infected IoT devices has created a substantial …
ADEPT: Detection and identification of correlated attack stages in IoT networks
KLK Sudheera, DM Divakaran… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
The fast-growing Internet-of-Things (IoT) market has opened up a large threat landscape,
given the wide deployment of IoT devices in both consumer and commercial spaces. Attacks …
given the wide deployment of IoT devices in both consumer and commercial spaces. Attacks …
Adversarial attacks against iot networks using conditional gan based learning
H Benaddi, M Jouhari, K Ibrahimi… - … 2022-2022 IEEE …, 2022 - ieeexplore.ieee.org
During the last decade, the integration of artificial intelligence (AI) and the use of intrusion
detection systems (IDSs) in the Internet of Things (IoT) networks have brought a new …
detection systems (IDSs) in the Internet of Things (IoT) networks have brought a new …