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
Sustainability analysis and improvement of model driven engineering and model transformation languages
Kevin Lano - Shekoufeh Kolahdouz Rahimi
SDN-based Deep Anomaly Detection For Securing Cloud Gaming Servers
Mohammadreza Ghafari - Dr Seyed Mostafa Safavi Hemami
Automatic identification and reconstruction of Tuberculosis in microscopic images using convolutional auto-encoder network
Ahmad Reza Nadafi - Farahnaz Mohanna
انتخاب ویژگی با استفاده از الگوریتم بهینه سازی ذرات مبتنی بر استراتژی خود تطبیقی دودویی جهت تشخیص بیماری
الهام صالحی - دکتر محمدرضا کرمی ملایی - دکتر حسام عمرانپور الهام صالحی - محمدرضا کرمی ملایی - حسام عمرانپور -
IoMT-Enabled Smart Healthcare: State-of-the-Art, Security and Future Directions
Shivam Tripathi - Vatsalkumar Makwana - Malaram Kumhar - Harshal Trivedi - Jitendra Bhatia - Sudeep Tanwar - Hossein Shahinzadeh
تشخیص بیماری شبکوری با استفاده از ترکیب الگوریتمهای یادگیری عمیق
میثم فتاحی
شناسایی کمپلکس های پروتئینی با استفاده از داده های زیستی و خوشه بندی فازی
مریم مولی وردیخانی - دکتر سعید جلیلی مریم مولی وردیخانی - سعید جلیلی -
IoT-Based Model in Smart Urban Traffic Control: Graph theory and Genetic Algorithm
Saeed Doostali - Seyed Morteza Babamir - Mohammad Shiralizadeh Dezfoli - Behzad Soleimani Neysiani
A Multi Objective & Trust-Based Workflow Scheduling Method In Cloud Computing Based On The MVO Algorithm
Fatemeh Ebadifard
امنیت در اینترنت اشیا؛ معماری، کاربردها، چالشها و راهکارها
مهدی موسی وند - دکتر پیام محمودی نصر مهدی موسی وند - پیام محمودی نصر -
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 42.2.4