[HTML][HTML] A survey on neural networks for (cyber-) security and (cyber-) security of neural networks
The goal of this systematic and broad survey is to present and discuss the main challenges
that are posed by the implementation of Artificial Intelligence and Machine Learning in the …
that are posed by the implementation of Artificial Intelligence and Machine Learning in the …
SDN-enabled hybrid DL-driven framework for the detection of emerging cyber threats in IoT
The Internet of Things (IoT) has proven to be a billion-dollar industry. Despite offering
numerous benefits, the prevalent nature of IoT makes it vulnerable and a possible target for …
numerous benefits, the prevalent nature of IoT makes it vulnerable and a possible target for …
Drone Industry Security Issues and Challenges in the Context of IoD
IA Shah - Cybersecurity Issues and Challenges in the Drone …, 2024 - igi-global.com
The major commercial sector has been drawn to the internet of drones (IoD) because of its
technological breakthroughs, utility functions, and capacities. It is a tiered network primarily …
technological breakthroughs, utility functions, and capacities. It is a tiered network primarily …
An investigation into the application of deep learning in the detection and mitigation of DDOS attack on SDN controllers
Software-Defined Networking (SDN) is a new paradigm that revolutionizes the idea of a
software-driven network through the separation of control and data planes. It addresses the …
software-driven network through the separation of control and data planes. It addresses the …
Hybrid deep learning: An efficient reconnaissance and surveillance detection mechanism in SDN
Software defined network (SDN) centralized control intelligence and network abstraction
aims to facilitate applications, service deployment, programmability, innovation and ease in …
aims to facilitate applications, service deployment, programmability, innovation and ease in …
Drone Technology: Current Challenges and Opportunities
Unmanned aerial vehicles are becoming more common among business users and
enthusiasts. The integration of technology is having a huge impact on globalization. There is …
enthusiasts. The integration of technology is having a huge impact on globalization. There is …
Towards SDN-enabled, intelligent intrusion detection system for internet of things (IoT)
The Internet of Things (IoT) has established itself as a multibillion-dollar business in recent
years. Despite its obvious advantages, the widespread nature of IoT renders it insecure and …
years. Despite its obvious advantages, the widespread nature of IoT renders it insecure and …
A hybrid intelligent framework to combat sophisticated threats in secure industries
With the new advancements in Internet of Things (IoT) and its applications in different
sectors, such as the industrial sector, by connecting billions of devices and instruments, IoT …
sectors, such as the industrial sector, by connecting billions of devices and instruments, IoT …
Present and future of network security monitoring
Network Security Monitoring (NSM) is a popular term to refer to the detection of security
incidents by monitoring the network events. An NSM system is central for the security of …
incidents by monitoring the network events. An NSM system is central for the security of …
Use of AI-Based Drones in Smart Cities
Autonomous drones, known as AI drones, have been working without human intervention. It
is doing something like navigation, avoiding obstacles, and taking picture recognition …
is doing something like navigation, avoiding obstacles, and taking picture recognition …