Subscribe to the gold package and get unlimited access to Shamra Academy
Register a new usersecurity vulnerabilities analysis of Vehicular ad hoc networks and countermeasures
تحليل الثغرات الأمنية في الشبكات الموائمة للمركبات و الإجراءات المقترحة لمعالجتها
1439
2 109
0
(
0
)
Created by
Shamra Editor
Ask ChatGPT about the research
نقوم في ىذا البحث بتقديم د ا رسة عن الحماية في شبكات VANET و التي تعد جزءاً من الشبكات اللاسلكية النقالة و المصممة بين المركبات المتحركة، فنقدم دراسة عن أهم الأخطار الأمنية التي تهدد حماية هذه الشبكات و تطبيقاتها . في الواقع سندرس الهجمات المتاحة على الشبكة و تحليل أخطارها، بالإضافة لمحاكاة بعض تلك الهجمات، و تحديدا" هجوم حجب الخدمة باستخدام أدوات مناسبة، و تصنيف أخطارها بناء على دراسة لمتحولات معينة تصف أداء الشبكة. إضافة إلى ذلك اقتراح بعض الحلول الأمنية التي تساعد في الحد من تأثير هذه الهجمات، و من ثم تطبيق هذه الحلول و تقييمها.
In this search, we provide a study about the security in VANET networks which are considered to be a part of mobile wireless networks and designed to work between moving vehicles. The most important security flaws of this networks and its applications are studied. In fact, we study the most important and dangerous attacks that may target VANET networks and analyze its main risks. Furthermore, we simulate some of these attacks Specifically Denial-of Service (DOS) attack using prober tools depending on chosen parameters that characterize the network performance. moreover, we provide some Security solutions to help counter measuring these attacks and minimize this effects, and Finally we apply these solutions and evaluate them.
References used
Vinh .H. L, Cavalli.A, 2014-Security attacks and solutions in vehicular ad hoc networks. International Journal on AdHoc Networking Systems (IJANS) ,Vol. 4, No. 2
Isaac. J.T, Zeadally .S, and Cmara .J.S.,2010-Security attacks and solutions for vehicular ad hoc networks . IET Communications
Rahbari.M and Jamali.M.A, 2011-Efficient Detection of Sybil Attack Based on Cryptography in VANET, IJNSA, Vol.3, No.6
rate research
Read More
Distributed Denial of Service attack (DDOS) on Vehicular Ad Hoc Networks
(VANETs) is considered to be one of the most serious types of attacks that can be targeted
to those networks. The danger of this attack is in the difficulty of detection becau
se of the
cooperation of several attacking nodes in the network, and its impact on the availability
requirement that is one of the most important security requirements in a network offering
real-time applications .In our research, we study the effect of this attack on VANET
network in the city, taking into consideration two cases. In the first case the target of the
attack is the nodes, while in the second one, the target is the road side units (RSU).
Simulation results have shown that this attack has a significant impact on both cases, by
comparing the basic parameters of the network, such as throughput in/out and the number
of dropped packets, before and after the attack.
تحليل الشبكات في أنظمة المعلومات الجغرافية ...
تمثل الشبكة مجموعة من الخطوط والنقاط التي تمثل الكائنات الجغرافية المتصلة مع بعضها البعض والتي من خلالها تتحرك الموارد (سيارات , مياه , كهرباء , غاز....الخ)
1- أنظمة تدفق موجهة
يتحرك التدفق من المصا
در إلى المصارف
الموارد لا تملك القدرة على اتخاذ قرارات المسير
(على سبيل المثال، نظام النهر)
2- أنظمة تدفق غير موجهة
النظام لا يتحكم بشكل كامل بعملية التدفق
الموارد تملك القدرة على اتخاذ قرارات المسير الخاصة بها
(على سبيل المثال، نظام السير)
A new face detection system is presented. The system combines several techniques for face detection to achieve better detection rates, a skin colormodel based on RGB color space is built and used to detect skin regions. The detected skin regions are
the face candidate regions. Neural network is used and trained with training set of faces and non-faces that projected into subspace by principal component analysis technique. we have added two modifications for the classical use of neural networks in face detection. First, the neural network tests only the face candidate regions for faces, so the search space is reduced. Second, the window size used by the neural network in scanning the input image is adaptive and depends on the size of the face candidate region. This enables the face detection system to detect faces with any size.
A Vehicular Ad-hoc Network (VANET) is a group of vehicles, which have special
equipments enable them to connect with each other as a wireless network .The attacks are
considered as the most serious challenge against this network, especially those t
argeting
availability requirement, which is one of the most important security requirements in
VANET. The Denial of Service (DoS) and Distributed Denial of Service (DDoS) attacks
are the most important attacks since they make the network not available for actual users.
In this research, we present an algorithm to detect and face the DDoS attack. This
algorithm depends on a black list contains the IDs for malicious vehicles, which are being
chosen depending on a certain threshold value for a number of messages received from
them. We analyze the algorithm performance depending on throughput, packet delivery
ratio, end to end delay parameters, and compare it with the performance of the Queue
Limiting Algorithm (QLA) .To achieve this purpose, we use NS2.35 simulator using
details to support Wireless Access in Vehicular Environments (WAVE). The simulation
results showed that the proposed algorithm reduces the effect of the attack Significantly
since it increases the throughput and packet delivery ratio.
In this paper we introduce a game model
that explains our proposed approach aiming at preventing the
disappearance of the intermediate nodes.
Log in to be able to interact and post comments
comments
Fetching comments
Sign in to be able to follow your search criteria
