Smart infrastructure design
Machine learning solutions for securing modern cities
Bibliographic Data
| ID | 21232265 |
|---|---|
| Authors | Wei Shuhan (University of Nottingham Ningbo China), Yu Chengzhi (0009-0009-6778-5133, University of Nottingham Ningbo China, corresponding author), Liao Xiaoxiao (Keio University), Wang Siyu (The University of Melbourne) |
| Year | 2024 |
| Volume | 107 |
| Pages | 105439 |
| Publication date | 2024-07-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Sustainable Cities and Society (JOURNAL) |
| Journal identifiers | ISSN: 2210-6707 • E-ISSN: 2210-6715 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.scs.2024.105439 |
| OpenAlex | W4394787074 |
| Language | EN |
| Citations received | 3 |
| References cited | 20 |
Computer security · Data science · Internet of Things · Intrusion detection system · Smart city · Systems engineering · Anomaly Detection Techniques and Applications · Computer Science · Engineering · Network Security and Intrusion Detection · Traffic Prediction and Management Techniques · Architecture
| Citations per year | 1.5 |
|---|---|
| Citation span | 2024 - 2025 (2) |
| Highly cited | No |