عنوان المقالة: Intrusion Detection System Classifier for VANET Based on Pre-processing Feature Extraction
غيث ضرغام خليل جاسم | Ghaith Khalil | 3131
- نوع النشر
- مؤتمر علمي
- المؤلفون بالعربي
- المؤلفون بالإنجليزي
- Ayoob Ayoob, Ghaith Khalil, Morshed Chowdhury, Robin Doss
- الملخص الانجليزي
- Vehicular Ad-hoc Networks (VANETs) are gaining much interest and research efforts over recent years for it offers enhanced safety and improved travel comfort. However, security threats that are either seen in the ad-hoc networks or unique to VANET present considerable challenges. In this paper, we are presenting the intrusion detection classifier for VANET base on pre-processing feature extraction. This ID infrastructure novel is mainly introducing a new design feature for extraction mechanism a pre-processing feature-based classifier. In the beginning, we will extract the traffic stream structures and vehicle location features in the VANET model. Later an Algorithm Pre-processing feature-based classifier was designed for evaluating the IDS by using hierarchy learning process. Finally, an additional two-step validation mechanism was used to determine the abnormal vehicle messages accurately. The …
- تاريخ النشر
- 28/10/2019
- الناشر
- Springer, Cham
- رقم المجلد
- رقم العدد
- رابط DOI
- https://doi.org/10.1007/978-3-030-34353-8_1
- رابط خارجي
- https://link.springer.com/chapter/10.1007/978-3-030-34353-8_1
- الكلمات المفتاحية
- Vehicular Ad-hoc Network (VANET) Intrusion Detection System (IDS) IEEE 802.11p