IoT Denial-of-Service Attack Detection and Prevention Using Hybrid IDS
| Title | IoT Denial-of-Service Attack Detection and Prevention Using Hybrid IDS |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Authors | Shurman, M. M., Khrais, R. M., Yateem, A. A. |
| Conference Name | 2019 International Arab Conference on Information Technology (ACIT) |
| Keywords | ACL, Anomaly-based, anomaly-based IDS, composability, computer network security, digital signatures, DoS Attack Detection, hybrid IDS, IDPS, IDS, Internet of Things, intrusion detection and prevention systems, intrusion detection system, IoT denial-of-service attack detection, IoT DoS, network packet classification, pattern classification, pubcrawl, resilience, Resiliency, security issues, Signature-based, Signature-based IDS |
| Abstract | the more (IoT) scales up with promises, the more security issues raise to the surface and must be tackled down. IoT is very vulnerable against DoS attacks. In this paper, we propose a hybrid design of signature-based IDS and anomaly-based IDS. The proposed hybrid design intends to enhance the intrusion detection and prevention systems (IDPS) to detect any DoS attack at early stages by classifying the network packets based on user behavior. Simulation results prove successful detection of DoS attack at earlier stages. |
| DOI | 10.1109/ACIT47987.2019.8991097 |
| Citation Key | shurman_iot_2019 |
- Internet of Things
- Signature-based IDS
- Signature-based
- security issues
- Resiliency
- resilience
- pattern classification
- network packet classification
- IoT DoS
- IoT denial-of-service attack detection
- intrusion detection system
- intrusion detection and prevention systems
- pubcrawl
- IDS
- IDPS
- hybrid IDS
- DoS Attack Detection
- digital signatures
- computer network security
- composability
- anomaly-based IDS
- Anomaly-based
- ACL