[HTML][HTML] Cyber resilience and incident response in smart cities: A systematic literature review
The world is experiencing a rapid growth of smart cities accelerated by Industry 4.0,
including the Internet of Things (IoT), and enhanced by the application of emerging …
including the Internet of Things (IoT), and enhanced by the application of emerging …
Identifying IoT devices and events based on packet length from encrypted traffic
Recently, machine learning algorithms have been used to identify Internet of Things (IoT)
devices and events. However, existing proposals may inspect the packet payload, what …
devices and events. However, existing proposals may inspect the packet payload, what …
Budgeted online selection of candidate IoT clients to participate in federated learning
Machine learning (ML), and deep learning (DL) in particular, play a vital role in providing
smart services to the industry. These techniques, however, suffer from privacy and security …
smart services to the industry. These techniques, however, suffer from privacy and security …
[HTML][HTML] Darknet traffic big-data analysis and network management for real-time automating of the malicious intent detection process by a weight agnostic neural …
Attackers are perpetually modifying their tactics to avoid detection and frequently leverage
legitimate credentials with trusted tools already deployed in a network environment, making …
legitimate credentials with trusted tools already deployed in a network environment, making …
[HTML][HTML] IoT botnet detection using salp swarm and ant lion hybrid optimization model
In the last decade, the devices and appliances utilizing the Internet of Things (IoT) have
expanded tremendously, which has led to revolutionary developments in the network …
expanded tremendously, which has led to revolutionary developments in the network …
Vulnerability analysis at industrial internet of things platform on dark web network using computational intelligence
Due to the potentially catastrophic effects in the event of an attack, security-enabled design
and algorithms are required to protect automated applications and instruments based on …
and algorithms are required to protect automated applications and instruments based on …
A survey of smart home iot device classification using machine learning-based network traffic analysis
Smart home IoT devices lack proper security, raising safety and privacy concerns. One-size-
fits-all network administration is ineffective because of the diverse QoS requirements of IoT …
fits-all network administration is ineffective because of the diverse QoS requirements of IoT …
Darknet traffic analysis and network management for malicious intent detection by neural network frameworks
Security breaches may be difficult to detect because attackers are continually tweaking
methods to evade detection and utilize legitimate credentials that have already been …
methods to evade detection and utilize legitimate credentials that have already been …
Multi-objective particle swarm optimization for botnet detection in internet of things
Nowadays, the world witnesses an immense growth in Internet of things devices. Such
devices are found in smart homes, wearable devices, retail, health care, industry, and …
devices are found in smart homes, wearable devices, retail, health care, industry, and …
Real-time identification of rogue WiFi connections in the wild
WiFi connections are vulnerable to simulated attacks from rogue access points (APs) or
devices whose SSID and/or MAC/IP address are the same as legitimate devices. This kind of …
devices whose SSID and/or MAC/IP address are the same as legitimate devices. This kind of …