Simulation of Vehicular Bots-Based DDoS Attacks in Connected Vehicles Networks

Connected vehicles are more vulnerable to attacks than wired networks since they involve rapid mobility, continuous data flow across connected nodes, and dynamic network design in a distributed network environment. Distributed Denial of Service (DDOS) is one of the most common and dangerous security...

Full description

Bibliographic Details
Published in:	HighTech and Innovation Journal
Main Authors:	Siti Fatimah Abdul Razak, Ku Yee Fang, Noor Hisham Kamis, Anang Hudaya Muhammad Amin, Sumendra Yogarayan
Format:	Article
Language:	English
Published:	Ital Publication 2023-12-01
Subjects:	vehicular bot nodes vanet distributed denial of services ns3.
Online Access:	https://hightechjournal.org/index.php/HIJ/article/view/445

Similar Items

Securing the road ahead: Machine learning-driven DDoS attack detection in VANET cloud environments
by: Himanshu Setia, et al.
Published: (2024-01-01)

A Hybrid Classical-Quantum Neural Network Model for DDoS Attack Detection in Software-Defined Vehicular Networks
by: Varun P. Sarvade, et al.
Published: (2025-08-01)

Performance Assessment of Optimized Link State Routing Protocol on Vehicular Ad Hoc Network Simulation
by: Yap Yu Xian, et al.
Published: (2025-03-01)

Real-time DDoS attack detection based on deep learning
by: Chuanhuang LI, et al.
Published: (2017-07-01)

Real-time DDoS attack detection based on deep learning
by: Chuanhuang LI, et al.
Published: (2017-07-01)

PREVIR: Fortifying Vehicular Networks Against Denial of Service Attacks
by: Amandeep Verma, et al.
Published: (2024-01-01)

Detection of DDOS attacks in Vehicular Ad Hoc Networks using Ensemble Deep Learning Model and Optimization Technique
by: Naramalli Jayakrishna, et al.
Published: (2025-09-01)

Detection and Prevention of DDoS Attacks on the IoT
by: Shu-Hung Lee, et al.
Published: (2022-12-01)

A DoS and DDoS Attack Protection System Architecture for the Grid
by: V. E. Lobanov, et al.
Published: (2010-09-01)

DDoS attacks detection based on link character
by: SUN Hong-jie, et al.
Published: (2007-01-01)

DDoS attacks detection based on link character
by: SUN Hong-jie, et al.
Published: (2007-01-01)

High-Speed Network DDoS Attack Detection: A Survey
by: Rana M. Abdul Haseeb-ur-rehman, et al.
Published: (2023-08-01)

Detection of DDoS Attacks in Software Defined Networking Using Entropy
by: Cong Fan, et al.
Published: (2021-12-01)

DDoS attack detection in intelligent transport systems using adaptive neuro-fuzzy inference system
by: G. Usha, et al.
Published: (2025-07-01)

XGBoost-Based Detection of DDoS Attacks in Named Data Networking
by: Liang Liu, et al.
Published: (2025-05-01)

Adaptive distributed honeypot detection network for enhanced cybersecurity against DoS and DDoS attacks
by: V. Selva Kumar, et al.
Published: (2025-06-01)

An Efficient Hybrid Protocol Framework for DDoS Attack Detection and Mitigation Using Evolutionary Technique
by: T. Yerriswamy, et al.
Published: (2022-12-01)

Collaborative Learning Based Sybil Attack Detection in Vehicular AD-HOC Networks (VANETS)
by: Sofia Azam, et al.
Published: (2022-09-01)

A Lightweight Model for DDoS Attack Detection Using Machine Learning Techniques
by: Sapna Sadhwani, et al.
Published: (2023-09-01)

Detection and mitigation of DDoS attacks based on multi-dimensional characteristics in SDN
by: Kun Wang, et al.
Published: (2024-07-01)

Entropic DDoS Detection for Quantum Networks
by: Del Rajan
Published: (2022-12-01)

Sybil Attack Detection Based on Signal Clustering in Vehicular Networks
by: Halit Bugra Tulay, et al.
Published: (2024-01-01)

Machine Learning Techniques to Detect a DDoS Attack in SDN: A Systematic Review
by: Tariq Emad Ali, et al.
Published: (2023-03-01)

DDoS attack detection and defense based on hybrid deep learning model in SDN
by: Chuanhuang LI, et al.
Published: (2018-07-01)

DDoS attack detection and defense based on hybrid deep learning model in SDN
by: Chuanhuang LI, et al.
Published: (2018-07-01)

DDoS Attack Detection Based on DBN in SDN Environment
by: ZHU Jing, WU Zhongdong, DING Longbin, WANG Yang
Published: (2020-04-01)

A hybrid deep learning model for detection and mitigation of DDoS attacks in VANETs
by: Naramalli Jayakrishna, et al.
Published: (2025-10-01)

Seamless Handover Scheme for MEC/SDN-Based Vehicular Networks
by: Nirmin Monir, et al.
Published: (2022-01-01)

A Survey of Vehicular Network Systems for Road Traffic Management
by: Karol Jurczenia, et al.
Published: (2022-01-01)

A Method of DDoS Attack Detection and Mitigation for the Comprehensive Coordinated Protection of SDN Controllers
by: Jin Wang, et al.
Published: (2023-08-01)

A comprehensive survey on DDoS attacks detection & mitigation in SDN-IoT network
by: Chandrapal Singh, et al.
Published: (2024-06-01)

DDoS Attack Detection Model Based on Statistics and Ensemble Autoencoders in SDN
by: LI Chunjiang, YIN Shaoping, CHI Haotian, YANG Jing, GENG Haijun
Published: (2024-11-01)

Detecting DDoS Attacks in IoT-Based Networks Using Matrix Profile
by: Mohammed Ali Alzahrani, et al.
Published: (2022-08-01)

An Asynchronous Federated Learning Arbitration Model for Low-Rate DDoS Attack Detection
by: Zengguang Liu, et al.
Published: (2023-01-01)

DDoSNet: Detection and prediction of DDoS attacks from realistic multidimensional dataset in IoT network environment
by: Goda Srinivasa Rao, et al.
Published: (2024-09-01)

Improving AODV Performance by Software Defined Networking Using NS3
by: Brahmia Hanene, et al.
Published: (2022-12-01)

Deep Learning-Based Approach for Detecting DDoS Attack on Software-Defined Networking Controller
by: Amran Mansoor, et al.
Published: (2023-06-01)

A Software Defined Networking Architecture for DDoS-Attack in the Storage of Multimicrogrids
by: Elaheh Taherian-Fard, et al.
Published: (2022-01-01)

Resource Cluster-Based Resource Search and Allocation Scheme for Vehicular Clouds in Vehicular Ad Hoc Networks
by: Hyunseok Choi, et al.
Published: (2024-03-01)

DDoS Attacks Detection in SDN Through Network Traffic Feature Selection and Machine Learning Models
by: Edith Paola Estupiñán Cuesta, et al.
Published: (2025-09-01)