[HTML][HTML] A review of anomaly detection strategies to detect threats to cyber-physical systems

N Jeffrey, Q Tan, JR Villar - Electronics, 2023 - mdpi.com
Cyber-Physical Systems (CPS) are integrated systems that combine software and physical
components. CPS has experienced rapid growth over the past decade in fields as disparate …

Adversarial machine learning attacks against intrusion detection systems: A survey on strategies and defense

A Alotaibi, MA Rassam - Future Internet, 2023 - mdpi.com
Concerns about cybersecurity and attack methods have risen in the information age. Many
techniques are used to detect or deter attacks, such as intrusion detection systems (IDSs) …

An enhanced AI-based network intrusion detection system using generative adversarial networks

C Park, J Lee, Y Kim, JG Park, H Kim… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
As communication technology advances, various and heterogeneous data are
communicated in distributed environments through network systems. Meanwhile, along with …

Imbalanced data classification: A KNN and generative adversarial networks-based hybrid approach for intrusion detection

H Ding, L Chen, L Dong, Z Fu, X Cui - Future Generation Computer Systems, 2022 - Elsevier
With the continuous emergence of various network attacks, it is becoming more and more
important to ensure the security of the network. Intrusion detection, as one of the important …

A survey on security and privacy issues in modern healthcare systems: Attacks and defenses

AI Newaz, AK Sikder, MA Rahman… - ACM Transactions on …, 2021 - dl.acm.org
Recent advancements in computing systems and wireless communications have made
healthcare systems more efficient than before. Modern healthcare devices can monitor and …

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 …

Practical gan-based synthetic ip header trace generation using netshare

Y Yin, Z Lin, M **, G Fanti, V Sekar - Proceedings of the ACM SIGCOMM …, 2022 - dl.acm.org
We explore the feasibility of using Generative Adversarial Networks (GANs) to automatically
learn generative models to generate synthetic packet-and flow header traces for networking …

A review of generative models in generating synthetic attack data for cybersecurity

G Agrawal, A Kaur, S Myneni - Electronics, 2024 - mdpi.com
The ability of deep learning to process vast data and uncover concealed malicious patterns
has spurred the adoption of deep learning methods within the cybersecurity domain …

Cyber-physical systems security: A systematic review

H Harkat, LM Camarinha-Matos, J Goes… - Computers & Industrial …, 2024 - Elsevier
In recent years, cyber-physical systems (CPS) have been to many vital areas, including
medical devices, smart cars, industrial systems, energy grid, etc. As these systems …

Towards secure intrusion detection systems using deep learning techniques: Comprehensive analysis and review

SW Lee, M Mohammadi, S Rashidi… - Journal of Network and …, 2021 - Elsevier
Providing a high-performance Intrusion Detection System (IDS) can be very effective in
controlling malicious behaviors and cyber-attacks. Regarding the ever-growing negative …