[HTML][HTML] Anomaly-based cyberattacks detection for smart homes: A systematic literature review

JII Araya, H Rifà-Pous - Internet of Things, 2023 - Elsevier
Smart homes, leveraging IoT technology to interconnect various devices and appliances to
the internet, enable remote monitoring, automation, and control. However, collecting …

A Survey on cyber resilience: Key strategies, research challenges, and future directions

SM Alhidaifi, MR Asghar, IS Ansari - ACM Computing Surveys, 2024 - dl.acm.org
Cyber resilience has become a major concern for both academia and industry due to the
increasing number of data breaches caused by the expanding attack surface of existing IT …

[HTML][HTML] Threat modeling in smart firefighting systems: Aligning MITRE ATT&CK matrix and NIST security controls

S Zahid, MS Mazhar, SG Abbas, Z Hanif, S Hina… - Internet of Things, 2023 - Elsevier
Industrial automation technologies are envisioned as multi-device systems that are
constantly interacting with one another and with enterprise systems. In these industrial …

Detection of Mirai Botnet Attacks on IoT devices Using Deep Learning

A Sharma, V Mansotra, K Singh - Journal of Scientific Research and …, 2023 - jsrtjournal.com
Abstract The Internet of Things is a staple in the workplace, especially in the fields of office
automation (OA) and operational technology (OT). As a consequence, businesses may set …

Concept drift analysis by dynamic residual projection for effectively detecting botnet cyber-attacks in IoT scenarios

H Qiao, B Novikov, JO Blech - IEEE Transactions on Industrial …, 2021 - ieeexplore.ieee.org
IoT devices typically stream data such as sensor values to other devices including cloud-
based services. Analyzing these streams for cyber-attacks is a challenging task. This is due …

Iot botnet detection based on anomalies of multiscale time series dynamics

JB Borges, JPS Medeiros, LPA Barbosa… - … on Knowledge and …, 2022 - ieeexplore.ieee.org
In this work, we propose a solution for detecting botnet attacks on the Internet of Things (IoT)
by identifying anomalies in the temporal dynamics of their devices. Given their limited …

Expediting the design and development of secure cloud-based mobile apps

FT Chimuco, JBF Sequeiros, TMC Simōes… - International Journal of …, 2024 - Springer
The adoption and popularity of mobile devices by end-users is partially driven by the
increasing development and availability of mobile applications that can aid solving different …

Anomaly-based cyberattacks detection for smart homes: A systematic literature review

JI Iturbe Araya, H Rifà-Pous - Internet of Things, 2023, Vol. 22 …, 2023 - openaccess.uoc.edu
Smart homes, leveraging IoT technology to interconnect various devices and appliances to
the internet, enable remote monitoring, automation, and control. However, collecting …

Preventing and Detecting Malware in Smart Environments. The Smart Home Case

S Kulkarni, A Mylonas, S Vidalis - Malware: Handbook of Prevention and …, 2024 - Springer
Abstract Latest research from Strategy Analytics suggests that smart home devices will soar
to 17 billion by 2030. However, as these devices become more popular increases, they …

[PDF][PDF] Uncovering botnets in IoT sensor networks: a hybrid self-organizing maps approach

MA AlHija, HJ Alqudah… - Indonesian Journal of …, 2024 - researchgate.net
The integration of the internet of things (IoT) has revolutionized diverse industries,
introducing interconnected devices and IoT sensor networks for improved data acquisition …