Flexible and scalable ML-based diagnosis module for optical networks: a security use case
2023 - Journal of Optical Communications and Networking Vol. 15, Issue 8, pp. C155-C165
To support the pervasive digital evolution, optical network infrastructures must be able to quickly and effectively adapt to changes arising from traffic dynamicity or external factors such as faults and attacks.
A Machine-Learning-Based Cyberattack Detector for a Cloud-Based SDN Controller
2023 - Applied Sciences, 13(8), 4914
The rapid evolution of network infrastructure through the softwarization of network elements has led to an exponential increase in the attack surface, thereby increasing the complexity of threat protection.
B5GEMINI: AI-driven Network Digital Twin
2022 - Sensors 2022, 22, 4106
Network Digital Twin (NDT) is a new technology that builds on the concept of Digital Twins (DT) to create a virtual representation of the physical objects of a telecommunications network.
Synthetic flow-based cryptomining attack generation through Generative Adversarial Networks
2022 - Scientific Reports, Vol. 12, Article 2091
Due to the growing rise of cyber attacks in the Internet, the demand of accurate intrusion detection systems (IDS) to prevent these vulnerabilities is increasing. To this aim, Machine Learning (ML) components have been proposed as an efficient and effective solution.
Evaluation of the abstraction of optical topology models in blockchain-based data center interconnection
2022 - Journal of Optical Communications and Networking, Vol. 14, Issue 4, pp. 211 - 221
Data center (DC) interconnection allows us to have optical transmissions between DCs directly connected to optical networks, avoiding the use of a packet-based infrastructure.
Scalability analysis of machine learning QoT estimators for a cloud-native SDN controller on a WDM over SDM network
2022 - Journal of Optical Communications and Network, Vol. 14, Issue 4, pp. 257-266
Maintaining a good quality of transmission (QoT) in optical transport networks is key to maintaining the service level agreement between the user and the service provider.
Improving the quality of generative models through Smirnov transformation
2022 - Information Sciences, Vol. 609
Solving the convergence issues of Generative Adversarial Networks (GANs) is one of the most outstanding problems in generative models. In this work, we propose a novel activation function to be used as output of the generator agent.
Practical Mitigation of Smart Contract Bugs
2022 - Computer Sciences (March 2022)
In spite of their popularity, developing secure smart contracts remains a challenging task. Existing solutions are either impractical as they do not support many complex real-world contracts or leave the burden to developers for fixing bugs.
Field Trial of Programmable L3 VPN Service Deployment Using SDN-Based Multi-domain Service Provisioning over IP/Optical Networks
2021 - IEEE Network, Vol. 35, Issue 6, November/December 2021
Network operators cannot change their footprint to upgrade the entire network to support SDN from scratch. Hence, network operators adapted the original SDN concept into a hybrid SDN approach to have a pragmatic, evolutionary, and economically viable solution.
Packet Optical Transport Network Slicing with Hard and Soft Isolation
2021 - Applied Sciences, 11(13), 6219
Network operators have been dealing with the necessity of a dynamic network resources allocation to provide a new generation of customer-tailored applications.