Analysis of IoT security challenges and its solutions using artificial intelligence
The Internet of Things (IoT) is a well-known technology that has a significant impact on many
areas, including connections, work, healthcare, and the economy. IoT has the potential to …
areas, including connections, work, healthcare, and the economy. IoT has the potential to …
Artificial intelligence for antimicrobial resistance prediction: challenges and opportunities towards practical implementation
Antimicrobial resistance (AMR) is emerging as a potential threat to many lives worldwide. It
is very important to understand and apply effective strategies to counter the impact of AMR …
is very important to understand and apply effective strategies to counter the impact of AMR …
Explainable artificial intelligence in cybersecurity: A survey
Nowadays, Artificial Intelligence (AI) is widely applied in every area of human being's daily
life. Despite the AI benefits, its application suffers from the opacity of complex internal …
life. Despite the AI benefits, its application suffers from the opacity of complex internal …
Design of intrusion detection system based on cyborg intelligence for security of cloud network traffic of smart cities
Abstract The Internet of things (IoT) is an important technology that is highly beneficial in
establishing smart items, connections and cities. However, there are worries regarding …
establishing smart items, connections and cities. However, there are worries regarding …
Cyber‐Internet Security Framework to Conquer Energy‐Related Attacks on the Internet of Things with Machine Learning Techniques
The Internet of Things (IoT) ushers in a new era of communication that depends on a broad
range of things and many types of communication technologies to share information. This …
range of things and many types of communication technologies to share information. This …
Leveraging computational intelligence techniques for defensive deception: a review, recent advances, open problems and future directions
PV Mohan, S Dixit, A Gyaneshwar, U Chadha… - Sensors, 2022 - mdpi.com
With information systems worldwide being attacked daily, analogies from traditional warfare
are apt, and deception tactics have historically proven effective as both a strategy and a …
are apt, and deception tactics have historically proven effective as both a strategy and a …
An Intelligent Framework for Cyber–Physical Satellite System and IoT-Aided Aerial Vehicle Security Threat Detection
The small-drone technology domain is the outcome of a breakthrough in technological
advancement for drones. The Internet of Things (IoT) is used by drones to provide inter …
advancement for drones. The Internet of Things (IoT) is used by drones to provide inter …
Improved DDoS detection utilizing deep neural networks and feedforward neural networks as autoencoder
Software-defined networking (SDN) is an innovative network paradigm, offering substantial
control of network operation through a network's architecture. SDN is an ideal platform for …
control of network operation through a network's architecture. SDN is an ideal platform for …
A comprehensive survey on knowledge-defined networking
PADSN Wijesekara, S Gunawardena - Telecom, 2023 - mdpi.com
Traditional networking is hardware-based, having the control plane coupled with the data
plane. Software-Defined Networking (SDN), which has a logically centralized control plane …
plane. Software-Defined Networking (SDN), which has a logically centralized control plane …
Identification and classification for multiple cyber attacks in power grids based on the deep capsule CNN
G Zhang, J Li, O Bamisile, Y Xing, D Cao… - … Applications of Artificial …, 2023 - Elsevier
Cyber-attacks have become one of the main threats to the security, reliability, and economic
operation of power systems. Detection and classification of multiple cyber-attacks pose …
operation of power systems. Detection and classification of multiple cyber-attacks pose …