Applications of wireless sensor networks and internet of things frameworks in the industry revolution 4.0: A systematic literature review
The 21st century has seen rapid changes in technology, industry, and social patterns. Most
industries have moved towards automation, and human intervention has decreased, which …
industries have moved towards automation, and human intervention has decreased, which …
Internet of things applications, security challenges, attacks, intrusion detection, and future visions: A systematic review
N Mishra, S Pandya - IEEE Access, 2021 - ieeexplore.ieee.org
Internet of Things (IoT) technology is prospering and entering every part of our lives, be it
education, home, vehicles, or healthcare. With the increase in the number of connected …
education, home, vehicles, or healthcare. With the increase in the number of connected …
A hybrid intrusion detection model using ega-pso and improved random forest method
AK Balyan, S Ahuja, UK Lilhore, SK Sharma… - Sensors, 2022 - mdpi.com
Due to the rapid growth in IT technology, digital data have increased availability, creating
novel security threats that need immediate attention. An intrusion detection system (IDS) is …
novel security threats that need immediate attention. An intrusion detection system (IDS) is …
Future smart cities: Requirements, emerging technologies, applications, challenges, and future aspects
Future smart cities are the key to fulfilling the ever-growing demands of citizens. Information
and communication advancements will empower better administration of accessible …
and communication advancements will empower better administration of accessible …
A distributed intrusion detection system to detect DDoS attacks in blockchain-enabled IoT network
Abstract The Internet of Things (IoT) is emerging as a new technology for the development of
various critical applications. However, these applications are still working on centralized …
various critical applications. However, these applications are still working on centralized …
A comprehensive survey on computer forensics: State-of-the-art, tools, techniques, challenges, and future directions
With the alarmingly increasing rate of cybercrimes worldwide, there is a dire need to combat
cybercrimes timely and effectively. Cyberattacks on computing machines leave certain …
cybercrimes timely and effectively. Cyberattacks on computing machines leave certain …
Detection of distributed denial of service (DDoS) attacks in IOT based monitoring system of banking sector using machine learning models
Cyberattacks can trigger power outages, military equipment problems, and breaches of
confidential information, ie, medical records could be stolen if they get into the wrong hands …
confidential information, ie, medical records could be stolen if they get into the wrong hands …
Ae-mlp: A hybrid deep learning approach for ddos detection and classification
Distributed Denial-of-Service (DDoS) attacks are increasing as the demand for Internet
connectivity massively grows in recent years. Conventional shallow machine learning-based …
connectivity massively grows in recent years. Conventional shallow machine learning-based …
A long short-term memory (LSTM)-based distributed denial of service (DDoS) detection and defense system design in public cloud network environment
The fact that cloud systems are under the increasing risks of cyber attacks has made the
phenomenon of information security first a need and then a necessity for these systems …
phenomenon of information security first a need and then a necessity for these systems …
A survey on Blockchain solutions in DDoS attacks mitigation: Techniques, open challenges and future directions
With the proliferation of new technologies such as the Internet of Things (IoT) and Software-
Defined Networking (SDN) in recent years, the Distributed Denial of Service (DDoS) attack …
Defined Networking (SDN) in recent years, the Distributed Denial of Service (DDoS) attack …