Conceptualizing smart city applications: Requirements, architecture, security issues, and emerging trends
The emergence of smart cities and sustainable development has become a globally
accepted form of urbanization. The epitome of smart city development has become possible …
accepted form of urbanization. The epitome of smart city development has become possible …
Anomaly detection for IoT time-series data: A survey
Anomaly detection is a problem with applications for a wide variety of domains; it involves
the identification of novel or unexpected observations or sequences within the data being …
the identification of novel or unexpected observations or sequences within the data being …
Abnormal behavior recognition for intelligent video surveillance systems: A review
AB Mabrouk, E Zagrouba - Expert Systems with Applications, 2018 - Elsevier
With the increasing number of surveillance cameras in both indoor and outdoor locations,
there is a grown demand for an intelligent system that detects abnormal events. Although …
there is a grown demand for an intelligent system that detects abnormal events. Although …
From cloud down to things: An overview of machine learning in internet of things
With the numerous Internet of Things (IoT) devices, the cloud-centric data processing fails to
meet the requirement of all IoT applications. The limited computation and communication …
meet the requirement of all IoT applications. The limited computation and communication …
A comprehensive study of anomaly detection schemes in IoT networks using machine learning algorithms
The Internet of Things (IoT) consists of a massive number of smart devices capable of data
collection, storage, processing, and communication. The adoption of the IoT has brought …
collection, storage, processing, and communication. The adoption of the IoT has brought …
A framework for anomaly detection and classification in Multiple IoT scenarios
The investigation of anomalies is an important element in many scientific research fields. In
recent years, this activity has been also extended to social networking and social …
recent years, this activity has been also extended to social networking and social …
Activity recognition for ambient assisted living with videos, inertial units and ambient sensors
Worldwide demographic projections point to a progressively older population. This fact has
fostered research on Ambient Assisted Living, which includes developments on smart …
fostered research on Ambient Assisted Living, which includes developments on smart …
A formally validated authentication algorithm for secure message forwarding in smart home networks
VO Nyangaresi - SN Computer Science, 2022 - Springer
The many devices connected in smart homes increase the attack surfaces from which
adversaries can invade the network. In addition, majority of these smart devices have …
adversaries can invade the network. In addition, majority of these smart devices have …
A survey on anomalous behavior detection for elderly care using dense-sensing networks
Facing the gradual ageing society, elderly people living independently are in need of
serious attention. In order to assist them to live in a safer environment, the increasing cost of …
serious attention. In order to assist them to live in a safer environment, the increasing cost of …
Anomaly detection methods for categorical data: A review
Anomaly detection has numerous applications in diverse fields. For example, it has been
widely used for discovering network intrusions and malicious events. It has also been used …
widely used for discovering network intrusions and malicious events. It has also been used …