| Full text | |
| Author(s): |
Vergutz, Andressa
;
dos Santos, Bruna V.
;
Kantarci, Burak
;
Nogueira, Michele
Total Authors: 4
|
| Document type: | Journal article |
| Source: | IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT; v. 20, n. 2, p. 13-pg., 2023-06-01. |
| Abstract | |
The Internet of Things revolutionizes human life by inaugurating scenarios such as smart homes. However, IoT devices contain much sensitive information about users and devices from a security and privacy perspective. Through traffic-based attacks, adversaries map changes in traffic rates to a particular in-home user's actions. An efficient IoT data instrumentation may protect users against traffic-based attacks by giving valuable information to adaptive network security solutions. Nonetheless, no work performs data instrumentation or uses feature exploration to reveal relevant features to assist network security management. Thus, this article introduces IoTReGuard, an IoT Method to Reveal and Guard IoT Network Traffic Features. IoTReguard aims to explore network traffic features to reveal the most relevant ones and hide them to protect users' privacy. By IoT network feature exploration and data instrumentation, IoTReGuard provides valuable information on network traffic features to mask critical features. Results showed that IoTReGuard reduced from 70% to 20% of F1-Score on identifying the IoT devices, improving user privacy. (AU) | |
| FAPESP's process: | 18/23098-0 - MENTORED: from modeling to experimentation - predicting and detecting DDoS and zero-day attacks |
| Grantee: | Michele Nogueira Lima |
| Support Opportunities: | Research Projects - Thematic Grants |
| FAPESP's process: | 21/06733-6 - Identifying and obfuscating security vulnerabilities and behaviors in IoT |
| Grantee: | Aldri Luiz dos Santos |
| Support Opportunities: | Regular Research Grants |