Analysis of cyber security attacks and its solutions for the smart grid using machine learning and blockchain methods
Smart grids are rapidly replacing conventional networks on a worldwide scale. A smart grid
has drawbacks, just like any other novel technology. A smart grid cyberattack is one of the …
has drawbacks, just like any other novel technology. A smart grid cyberattack is one of the …
Internet of drones security: Taxonomies, open issues, and future directions
Drones have recently become one of the most important technological breakthroughs. They
have opened the horizon for a vast array of applications and paved the way for a diversity of …
have opened the horizon for a vast array of applications and paved the way for a diversity of …
Deep learning for cyber security intrusion detection: Approaches, datasets, and comparative study
In this paper, we present a survey of deep learning approaches for cyber security intrusion
detection, the datasets used, and a comparative study. Specifically, we provide a review of …
detection, the datasets used, and a comparative study. Specifically, we provide a review of …
Deep learning-based intrusion detection for distributed denial of service attack in agriculture 4.0
Smart Agriculture or Agricultural Internet of things, consists of integrating advanced
technologies (eg, NFV, SDN, 5G/6G, Blockchain, IoT, Fog, Edge, and AI) into existing farm …
technologies (eg, NFV, SDN, 5G/6G, Blockchain, IoT, Fog, Edge, and AI) into existing farm …
Rdtids: Rules and decision tree-based intrusion detection system for internet-of-things networks
This paper proposes a novel intrusion detection system (IDS), named RDTIDS, for Internet-of-
Things (IoT) networks. The RDTIDS combines different classifier approaches which are …
Things (IoT) networks. The RDTIDS combines different classifier approaches which are …
[HTML][HTML] Feature extraction for machine learning-based intrusion detection in IoT networks
A large number of network security breaches in IoT networks have demonstrated the
unreliability of current Network Intrusion Detection Systems (NIDSs). Consequently, network …
unreliability of current Network Intrusion Detection Systems (NIDSs). Consequently, network …
Fighting COVID-19 and future pandemics with the Internet of Things: Security and privacy perspectives
The speed and pace of the transmission of severe acute respiratory syndrome coronavirus 2
(SARS-CoV-2; also referred to as novel Coronavirus 2019 and COVID-19) have resulted in …
(SARS-CoV-2; also referred to as novel Coronavirus 2019 and COVID-19) have resulted in …
Cyber security for fog-based smart grid SCADA systems: Solutions and challenges
This paper presents a comprehensive survey of existing cyber security solutions for fog-
based smart grid SCADA systems. We start by providing an overview of the architecture and …
based smart grid SCADA systems. We start by providing an overview of the architecture and …
A taxonomy of security issues in Industrial Internet-of-Things: Scoping review for existing solutions, future implications, and research challenges
Industrial Internet of Things (IIoTs) are the extensions of the Internet of Things (IoTs) and
have paved the way towards the industry revolution 4.0. IIoT accelerates the industry …
have paved the way towards the industry revolution 4.0. IIoT accelerates the industry …
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 …