Conceptualizing smart city applications: Requirements, architecture, security issues, and emerging trends

AKMB Haque, B Bhushan, G Dhiman - Expert Systems, 2022 - Wiley Online Library
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 …

Anomaly detection for IoT time-series data: A survey

AA Cook, G Mısırlı, Z Fan - IEEE Internet of Things Journal, 2019 - ieeexplore.ieee.org
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 …

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 …

From cloud down to things: An overview of machine learning in internet of things

F Samie, L Bauer, J Henkel - IEEE Internet of Things Journal, 2019 - ieeexplore.ieee.org
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 …

A comprehensive study of anomaly detection schemes in IoT networks using machine learning algorithms

A Diro, N Chilamkurti, VD Nguyen, W Heyne - Sensors, 2021 - mdpi.com
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 …

A framework for anomaly detection and classification in Multiple IoT scenarios

F Cauteruccio, L Cinelli, E Corradini… - Future Generation …, 2021 - Elsevier
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 …

Activity recognition for ambient assisted living with videos, inertial units and ambient sensors

CM Ranieri, S MacLeod, M Dragone, PA Vargas… - Sensors, 2021 - mdpi.com
Worldwide demographic projections point to a progressively older population. This fact has
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 …

A survey on anomalous behavior detection for elderly care using dense-sensing networks

S Deep, X Zheng, C Karmakar, D Yu… - … Surveys & Tutorials, 2019 - ieeexplore.ieee.org
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 …

Anomaly detection methods for categorical data: A review

A Taha, AS Hadi - ACM Computing Surveys (CSUR), 2019 - dl.acm.org
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 …