Smart cities: The role of Internet of Things and machine learning in realizing a data-centric smart environment
This paper explores the concept of smart cities and the role of the Internet of Things (IoT)
and machine learning (ML) in realizing a data-centric smart environment. Smart cities …
and machine learning (ML) in realizing a data-centric smart environment. Smart cities …
Encrypted network traffic analysis and classification utilizing machine learning
Encryption is a fundamental security measure to safeguard data during transmission to
ensure confidentiality while at the same time posing a great challenge for traditional packet …
ensure confidentiality while at the same time posing a great challenge for traditional packet …
Intrusion detection system for wireless sensor networks: A machine learning based approach
In this era, plenty of wireless devices are being used with the support of WI-FI (Wireless
Fidelity) and need to be maintained and authorized. Wireless Sensor Networks (WSN), a …
Fidelity) and need to be maintained and authorized. Wireless Sensor Networks (WSN), a …
[HTML][HTML] Securing Android IoT devices with GuardDroid transparent and lightweight malware detection
Abstract The Internet of Things (IoT) has experienced significant growth in recent years and
has emerged as a very dynamic sector in the worldwide market. Being an open-source …
has emerged as a very dynamic sector in the worldwide market. Being an open-source …
Energy optimized data fusion approach for scalable wireless sensor network using deep learning-based scheme
Energy efficiency and security are critical components of Quality of Service (QoS) and
remain a challenge in WSN-assisted IoT owing to its open and resource-limited nature …
remain a challenge in WSN-assisted IoT owing to its open and resource-limited nature …
Secured energy-efficient routing in wireless sensor networks using machine learning algorithm: Fundamentals and applications
Wireless sensor networks consist of unattended small sensor nodes having low energy and
low range of communication. It has been observed that if there is any system to periodically …
low range of communication. It has been observed that if there is any system to periodically …
Proactive and data-centric Internet of Things-based fog computing architecture for effective policing in smart cities
Smart surveillance is crucial for improving citizen security and ensuring a sustainable
environment for routine tasks, particularly within intelligent transportation systems (ITS) …
environment for routine tasks, particularly within intelligent transportation systems (ITS) …
Analysis of machine learning based LEACH robust routing in the Edge Computing systems
Wireless sensor networks (WSN) are used to detect real-time changes in the deployed
environment. This dynamic behaviour is either triggered by the deployed environment or by …
environment. This dynamic behaviour is either triggered by the deployed environment or by …
An adaptive semi-supervised deep learning-based framework for the detection of Android malware
Positive developments in smartphone usage have led to an increase in malicious attacks,
particularly targeting Android mobile devices. Android has been a primary target for malware …
particularly targeting Android mobile devices. Android has been a primary target for malware …
Performance analysis of machine learning algorithms with clustering protocol in wireless sensor networks
In wireless sensor networks (WSN), machine learning (ML) algorithms have an important
role in cluster head (CH) selection according to several quality of service (QoS) metrics. This …
role in cluster head (CH) selection according to several quality of service (QoS) metrics. This …