FamilyGuard: A Security Architecture for Anomaly Detection in Home Networks
The residential environment is constantly evolving technologically. With this evolution, sensors have become intelligent interconnecting home appliances, personal computers, and mobile devices. Despite the benefits of this interaction, these devices are also prone to security threats and vulnerabili...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-04-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/22/8/2895 |
| _version_ | 1797443777551400960 |
|---|---|
| author | Pedro H. A. D. de Melo Rodrigo Sanches Miani Pedro Frosi Rosa |
| author_facet | Pedro H. A. D. de Melo Rodrigo Sanches Miani Pedro Frosi Rosa |
| author_sort | Pedro H. A. D. de Melo |
| collection | DOAJ |
| description | The residential environment is constantly evolving technologically. With this evolution, sensors have become intelligent interconnecting home appliances, personal computers, and mobile devices. Despite the benefits of this interaction, these devices are also prone to security threats and vulnerabilities. Ensuring the security of smart homes is challenging due to the heterogeneity of applications and protocols involved in this environment. This work proposes the FamilyGuard architecture to add a new layer of security and simplify management of the home environment by detecting network traffic anomalies. Experiments are carried out to validate the main components of the architecture. An anomaly detection module is also developed by using machine learning through one-class classifiers based on the network flow. The results show that the proposed solution can offer smart home users additional and personalized security features using low-cost devices. |
| first_indexed | 2024-03-09T13:02:46Z |
| format | Article |
| id | doaj.art-68c1cb74adb64df0bad838bc9b1b526f |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T13:02:46Z |
| publishDate | 2022-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-68c1cb74adb64df0bad838bc9b1b526f2023-11-30T21:52:29ZengMDPI AGSensors1424-82202022-04-01228289510.3390/s22082895FamilyGuard: A Security Architecture for Anomaly Detection in Home NetworksPedro H. A. D. de Melo0Rodrigo Sanches Miani1Pedro Frosi Rosa2School of Computer Science, Federal University of Uberlândia (UFU), Uberlândia 38400-902, BrazilSchool of Computer Science, Federal University of Uberlândia (UFU), Uberlândia 38400-902, BrazilSchool of Computer Science, Federal University of Uberlândia (UFU), Uberlândia 38400-902, BrazilThe residential environment is constantly evolving technologically. With this evolution, sensors have become intelligent interconnecting home appliances, personal computers, and mobile devices. Despite the benefits of this interaction, these devices are also prone to security threats and vulnerabilities. Ensuring the security of smart homes is challenging due to the heterogeneity of applications and protocols involved in this environment. This work proposes the FamilyGuard architecture to add a new layer of security and simplify management of the home environment by detecting network traffic anomalies. Experiments are carried out to validate the main components of the architecture. An anomaly detection module is also developed by using machine learning through one-class classifiers based on the network flow. The results show that the proposed solution can offer smart home users additional and personalized security features using low-cost devices.https://www.mdpi.com/1424-8220/22/8/2895machine learninganomaly detectionnetwork securitysmart homeInternet of things (IoT) |
| spellingShingle | Pedro H. A. D. de Melo Rodrigo Sanches Miani Pedro Frosi Rosa FamilyGuard: A Security Architecture for Anomaly Detection in Home Networks Sensors machine learning anomaly detection network security smart home Internet of things (IoT) |
| title | FamilyGuard: A Security Architecture for Anomaly Detection in Home Networks |
| title_full | FamilyGuard: A Security Architecture for Anomaly Detection in Home Networks |
| title_fullStr | FamilyGuard: A Security Architecture for Anomaly Detection in Home Networks |
| title_full_unstemmed | FamilyGuard: A Security Architecture for Anomaly Detection in Home Networks |
| title_short | FamilyGuard: A Security Architecture for Anomaly Detection in Home Networks |
| title_sort | familyguard a security architecture for anomaly detection in home networks |
| topic | machine learning anomaly detection network security smart home Internet of things (IoT) |
| url | https://www.mdpi.com/1424-8220/22/8/2895 |
| work_keys_str_mv | AT pedrohaddemelo familyguardasecurityarchitectureforanomalydetectioninhomenetworks AT rodrigosanchesmiani familyguardasecurityarchitectureforanomalydetectioninhomenetworks AT pedrofrosirosa familyguardasecurityarchitectureforanomalydetectioninhomenetworks |