0% Complete
English
صفحه اصلی
/
چهاردهمین کنفرانس بین المللی فناوری اطلاعات و دانش
Dealing with Black-hole Attacks in Inter-vehicle Networks Using the Packet Delivery Rate Algorithm
نویسندگان :
Marzieh Sedighi
1
Mehdi Hamidkhani
2
Mostafa Sadeghi
3
1- دانشگاه آزاد اسلامی واحد دولتآباد
2- دانشگاه آزاد اسلامی واحد اصفهان (خوراسگان)
3- دانشگاه آزاد اسلامی واحد اصفهان (خوراسگان)
کلمات کلیدی :
VANET،Black-hole attack،Packet delivery rate،DABHA-VANET
چکیده :
The VANET is a type of case mobile networks (a decentralized type of wireless networks) which includes moving vehicles as nodes in the network that establishes communication among adjacent vehicles as well as stationary vehicles and equipment which are usually installed along the roads. Therefore, reducing network overhead and traffic and increasing the data transmission security as well as the Packet Delivery Rate (PDR) are the most important issues related to VANETs. One of the most important challenges in the inter-vehicle networks is the presence of security attacks such as black-hole attacks in which the malicious node eliminates data packets and reduces the quality of the network. Therefore, this paper proposes a method to detect and eliminate the black-hole attacks in three phases. The so called DABHA-VANET in the first phase confirms the new join requests and verifies valid vehicles by checking the previous database and number of the steps. In the second phase, it applies the PDR algorithm to detect malicious nodes of the black-hole and then eliminates these nodes from the network and routing. Finally, the NS-2 simulator is used to compare DABHA-VANET with the PFDSA method. The provided results indicated an acceptable performance of the proposed approach.
لیست مقالات
لیست مقالات بایگانی شده
KGLM-QA: A Novel Approach for Knowledge Graph-Enhanced Large Language Models for Question Answering
Alireza Akhavan safaei - Pegah Saboori - Reza Ramezani - Mohammadali Nematbakhsh
Classification of Personality Traits on Facebook Using Key Phrase Extraction, Language Models and Machine Learning
Faezeh Safari - Abdolah Chalechale
NFV-Based Distributed Service Function Chaining with Imperfect Information
Mahsa Alikhani - Marzieh Sheikhi - Dr Vesal Hakami
Benchmarking Embedding Models for Persian-Language Semantic Information Retrieval
Mahmood Kalantari - Mehdi Feghhi - Nasser Mozayani
یک روش انتخاب ویژگی نیمهنظارتی جدید بر اساس منظمسازی هسین
دکتر راضیه شیخ پور راضیه شیخ پور -
LLM-Driven Feature Extraction for Stock Market Prediction: A case study of Tehran Stock Exchange
Siavash Hosseinpour Saffarian - Saman Haratizadeh
Movable Antenna Design for UAV-Aided Federated Learning via Deep Reinforcement Learning
MOHSEN Ahmadzadeh - Saeid Pakravan - Ghosheh Abed Hodtani
A novel approach audio watermarking based on (GBT,DCT,SVD)
Mahdi Mosleh
شناسایی حسابهای چندکاربره بر اساس ویژگیهای شخصیتی کاربران در پلتفرمهای پخش فیلم
مهسا رضائی - مرجان کائدی
AN EFFICIENT TASK SCHEDULING IN CLOUD COMPUTING BASED ON ACO ALGORITHM
Zahra Shafahi - Dr Alireza Yari
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 44.5.0