A critical review of intrusion detection systems in the internet of things: techniques, deployment strategy, validation strategy, attacks, public datasets and challenges

A Khraisat, A Alazab - Cybersecurity, 2021 - Springer
Abstract The Internet of Things (IoT) has been rapidly evolving towards making a greater
impact on everyday life to large industrial systems. Unfortunately, this has attracted the …

Survey of intrusion detection systems: techniques, datasets and challenges

A Khraisat, I Gondal, P Vamplew, J Kamruzzaman - Cybersecurity, 2019 - Springer
Cyber-attacks are becoming more sophisticated and thereby presenting increasing
challenges in accurately detecting intrusions. Failure to prevent the intrusions could degrade …

[HTML][HTML] Multiobjective optimization of building energy consumption and thermal comfort based on integrated BIM framework with machine learning-NSGA II

HH Hosamo, MS Tingstveit, HK Nielsen… - Energy and …, 2022 - Elsevier
Detailed parametric analysis and measurements are required to reduce building energy
usage while maintaining acceptable thermal conditions. This research suggested a system …

[HTML][HTML] Digital Twins for the built environment: learning from conceptual and process models in manufacturing

JMD Delgado, L Oyedele - Advanced Engineering Informatics, 2021 - Elsevier
The overall aim of this paper is to contribute to a better understanding of the Digital Twin
(DT) paradigm in the built environment by drawing inspiration from existing DT research in …

A review on optimization methods applied in energy-efficient building geometry and envelope design

F Kheiri - Renewable and Sustainable Energy Reviews, 2018 - Elsevier
Building envelope parameters and geometric configurations can considerably influence the
building energy performance. However, determining the best trade-offs of different building …

Multi-objective optimization of the building energy performance: A simulation-based approach by means of particle swarm optimization (PSO)

N Delgarm, B Sajadi, F Kowsary, S Delgarm - Applied energy, 2016 - Elsevier
This paper proposes an efficient methodology for the simulation-based multi-objective
optimization problems, which addresses important limitations for the optimization of the …

Energy performance optimization of existing buildings: A literature review

N Hashempour, R Taherkhani, M Mahdikhani - Sustainable Cities and …, 2020 - Elsevier
Energy retrofit and renovation of existing buildings have an effective role in reducing carbon
dioxide emissions and ultimately global warming. Therefore, there is an increasing interest …

Towards adoption of building energy simulation and optimization for passive building design: A survey and a review

Z Tian, X Zhang, X Jin, X Zhou, B Si, X Shi - Energy and Buildings, 2018 - Elsevier
Integrating optimization algorithms into simulation-based design processes is a promising
approach for achieving energy efficient buildings. Building Energy Simulation and …

A review on building energy efficient design optimization rom the perspective of architects

X Shi, Z Tian, W Chen, B Si, X Jin - Renewable and Sustainable Energy …, 2016 - Elsevier
Energy efficiency is a mandatory requirement and integral part of green and sustainable
buildings. Energy efficient design optimization is both a design philosophy and a practical …

A systematic review of genetic algorithm-based multi-objective optimisation for building retrofitting strategies towards energy efficiency

I Costa-Carrapiço, R Raslan, JN González - Energy and Buildings, 2020 - Elsevier
Most common practices for solving building retrofit problems lack efficiency and overall
robustness. Knowledge of novel methods that support decision-making (DM) for retrofitting is …