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Detecting DDoS Attacks in IoT-Based Networks Using Matrix Profile
| Content Provider | MDPI |
|---|---|
| Author | Alzahrani, Mohammed Ali Alzahrani, Ali M. Siddiqui, Muhammad Shoaib |
| Copyright Year | 2022 |
| Description | The Internet of Things (IoT) is a swiftly developing technology in all sectors, with the number of devices that connect to the Internet has increased remarkably in recent years. However, most of these devices use cheap hardware and lack a concrete security defence system. This may encourage hackers to recruit these devices and use them to launch Distributed Denial of Service (DDoS) attacks, which is one of the main causes of concern among security engineers. This paper investigates the possibility of using a matrix profile to detect DDoS attacks in an IoT-based environment. According to our empirical experiments, the preliminary findings illustrate that the matrix profile algorithm can efficiently detect IoT-based DDoS attacks. |
| Starting Page | 8294 |
| e-ISSN | 20763417 |
| DOI | 10.3390/app12168294 |
| Journal | Applied Sciences |
| Issue Number | 16 |
| Volume Number | 12 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2022-08-19 |
| Access Restriction | Open |
| Subject Keyword | Applied Sciences Industrial Engineering Information and Library Science Distributed Denial of Services (ddos) Attacks Internet of Things (iot) Matrix Profile Smart Cities Anomaly Detection |
| Content Type | Text |
| Resource Type | Article |
