Table 7.
A summary of AI-Big data analytics frameworks proposed to ensure security and safety applications
| Ref. | AI model | Task | Building nature | Year | Description | Evaluation metrics | |||
|---|---|---|---|---|---|---|---|---|---|
| ACC | MAE | MSE | Others | ||||||
| Zhang et al. (2021) | DBN, R-LSTM-NN | Fire hazard prediction | Smart cities | 2021 | Detect fire outbreak based on the sensors readings of the IoT system using supervised learning | TPR, FPR Error rate | |||
| Fu (2020) | DT, kNN, NN | Fire safety assessment | Steel framed buildings | 2020 | Predict failure patterns and progressive collapse potential due to fire | ||||
| Sultan Mahmud et al. (2017) | DT, BayesNet NNs, SVM | Fire detection | - | 2017 | Enhance the fire system detection capability by analyzing system data to conclude the situation | ACC, Precision RAE, Recall, F1 | |||
| Huda et al. (2012) | PCA, NN | Inspection of electrical installations | Office | 2012 | Assess the thermal condition of electrical installations based on infrared images using supervised learning | ||||
| Ouache et al. (2021) | NN | Fire safety assessment | Residential | 2021 | Investigate and assess fire protection and intervention strategies | R | |||
| Elnour et al. (2021) | IF, PCA, CNN | Attack detection | Office | 2021 | Detect attacks on the building management system | Precision, Recall | |||
| de Assis et al. (2020) | CNN | DDoS attack detection | Industrial | 2020 | Detect DDoS attacks on the SDNs of the IIoT system | Precision, Recall F1 score | |||
| Aboelwafa et al. (2020) | NN | FDI attack detection | Industrial | 2020 | Detect FDI attacks on IIoT systems | FPR, TPR | |||
| Yahyaoui et al. (2020) | SVM | Intrusion detection | Hospital | 2020 | Detect intrusion in IoT systems | Energy | |||