| Full text | |
| Author(s): Show less - |
Arbex, Gustavo Vitral
;
Machado, Ketly Goncalves
;
Nogueira, Michele
;
Batista, Daniel M.
;
Hirata, Roberto, Jr.
;
Machuca, CM
;
Martins, L
;
Sargento, S
;
Wauters, T
;
Jorge, L
;
Salhab, N
;
Chemouil, P
Total Authors: 12
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| Document type: | Journal article |
| Source: | PROCEEDINGS OF THE 2021 12TH INTERNATIONAL CONFERENCE ON NETWORK OF THE FUTURE (NOF 2021); v. N/A, p. 8-pg., 2021-01-01. |
| Abstract | |
The Internet of Things (IoT) represents a new reality, as smart devices spread quickly and a higher number of applications arises. This attracts the attention of not only legitimate users but also attackers aiming to jeopardize the entire IoT infrastructure. Intrusion detection mechanisms are paramount in this networking environment as its first line of defense. Hence, this work proposes a Network Intrusion Detection System (NIDS) that deals with the Distributed Denial of Service (DDoS) attack, one of the most critical attacks that occur through IoT. The proposed NIDS uses stream learning to detect DDoS attacks in the IoT network and is designed to be deployed in a fog infrastructure. The detection model, built on Hoeffding Anytime Tree (HATT) algorithm, achieved a 99% accuracy and a 99% recall. (AU) | |
| FAPESP's process: | 14/50937-1 - INCT 2014: on the Internet of the Future |
| Grantee: | Fabio Kon |
| Support Opportunities: | Research Projects - Thematic Grants |
| FAPESP's process: | 15/24485-9 - Future internet for smart cities |
| Grantee: | Fabio Kon |
| Support Opportunities: | Research Projects - Thematic Grants |
| FAPESP's process: | 18/22979-2 - IoT-SED: security and efficiency in data transport on Internet of Things |
| Grantee: | Daniel Macêdo Batista |
| Support Opportunities: | Regular Research Grants |
| 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 |