- Open Access
- Total Downloads : 48
- Authors : Ankush Hans , Dr. Anurag Sharma
- Paper ID : IJERTV8IS070183
- Volume & Issue : Volume 08, Issue 07 (July 2019)
- Published (First Online): 23-07-2019
- ISSN (Online) : 2278-0181
- Publisher Name : IJERT
- License: This work is licensed under a Creative Commons Attribution 4.0 International License
Analysis and Detection of DoS Attack in Designed System using Time Stamp Protocol
M.Tech Research Scholar Department of Computer Science CTITR, Jalandhar
Dr. Anurag Sharma
Department of Electronics and Communication CTITR, Jalandhar
Abstract:- Network security has a pivotal role in vehicular ad hoc networks mainly due to the size and complexity of the network. There are a number of generic tools which are commonly being used by organizations as well as individual users for security like Anti-Spam, Anti-Virus etcetera. In this paper different aspects of security in vehicular ad hoc (e.g. multi-layer intrusion detection technique in multi hop network of vehicular ad hoc network, security problems relates between multi-hop network and Vehicular nodes in vehicular ad hoc etc) are being discussed. The simulation has been done in java using socket programming and multi-programming principles and techniques. The aim of this implementation is to provide inter communication between the clients (Vehicular Ad hoc Network Nodes) and server (Wireless sensor network) using socket programming so that the main objectives such as Inter vehicle communication, Neighbor updates, Collision detection, Collision prevention, Malicious node detection can be achieved successfully
Vehicle Ad Hoc Network is a form of Mobile ad-hoc network, it provides communications between the different vehicles and the fixed equipment, usually described as roadside equipment. Vehicular Ad-hoc Networks are emerging in an advanced version of the mobile ad hoc network or MANET . It is a distributed type of network, which means that the networks built up by moving vehicles itself, and it works on the characteristics of very high node mobility and limited degrees of freedom in the mobility patterns. The main purpose of the VANET is to provide road safety and comfort to the passengers. It has the outstanding properties of self maintenance and self-configuring. Also, it can make and break the connection in a network. In VANET security is considered as one of the primary concerns in order to provide secure communication between different nodes in a VANET environment . VANET has its own characteristics and due to its characteristics only vehicular ad hoc network security come in advanced or the popular research topic . In todays scenario vehicular ad hoc network becomes one of the main topics in research.
Wireless sensor network is also a form of adhoc network. A sensor network is a collection of a large number of sensor nodes that are deployed in a particular region. Sensors are wirelessly connected and they, at appropriate times, relay
information back to some selected nodes . These selected nodes then perform some computation based on the collected data to derive an ultimate statistic to allow critical decisions to be made. There are a variety of sensors, including acoustic (sound related), seismic (subject to an earthquake or earth vibration), image, heat, direction, smoke, and temperature sensors .
VANET has many challenges associated with it like open network architecture, shared wireless medium, stringent resource constraint, highly dynamic network topology. Also the wired network solution do not work with VANET domain. Due to different-different properties of vehicular ad hoc networks like infrastructure less and self-organizing, there are more chances for trusted node to be compromised and launch attacks on networks. In other words, the need is to cover up the VANET from both insider and outsider attacks, in which it is more difficult to deal with insider attack . Moreover, it is difficult to distinguish between stale routing and faked routing information because mobility of node mechanism. There are more chances of attack in node mobility mechanism it is because it enforces frequent networking reconfiguration.
Zhang.X.et al proposed that CTB protocol includes two parts, broadcast in a street and broadcast at intersections. even if some selected forwarders fail to receive the message, other forwarders having received the message can still rebroadcast which reduces the broadcast delay and increases the broadcast reliability. Siti.S.et al. analysed the parameters of VANET and their consequences .VANET handover based on long term evolution advanced (LTE-A) using decision techniques able to be a solution model approach to quality of service. Navjot.K.et al. analysed that various requirements, characteristics, challenging issues & techniques of security in VANETs. Theoretical analyses of different security techniques of vehicular Ad hoc Network has been done which compare different schemes at different levels like hardware, authentication, privacy and certification techniques.Patel A.et al. reviewed the paper for defending against worm hole attacks in wireless sensor networks. This type of attack majorly affects the network layer of network. This paper deals with detection of worm hole attack and an approach for prevention is proposed. The proposed approach is based on Hash based compression
function (HCF) which is actually using any secure hash function to compute a value of hash field for RREQ packet. Lyamin N.et al. analysed a Denial-of Service (DoS) attacks in IEEE 802.11p vehicular ad-hoc networks (VANETs) is proposed. The study is focused on the jamming of periodic position messages (beacons) exchanged by vehicles in a platoon. Probabilities of attack detection and false alarm are estimated for two different attacker models. Campolo C.et al. reviewed the main open issues related to the use of multiple channels in vehicular networks. The analysis starts from the consideration that several design challenges unique to the vehicular environment need to be addressed in order to make decisions on the adoption, adaptation, and improvement of the multichannel architecture proposed by standardization bodies. Standardization efforts and related literature have been surveyed that provide countermeasures for some of the identified issues, which are under discussion in relevant bodies or still uninvestigated. Bergenhem C.et al. analysed the project vision is to develop and integrate solutions that allow vehicles to drive in platoons with a reduction in fuel consumption, improvement in safety and increased driver convenience. A platoon according to SARTRE is a manually controlled lead vehicle with a number of automatically controlled (both longitudinally and laterally) following vehicles. Gambhir S.et al. proposed Prime product number based malicious node detection scheme for MANETs. One of the principal routing protocol AODV used in MANETs. The security of AODV protocol is influence by malicious node attack. In this attack, a malicious node injects a faked route reply claiming to have the shortest and fresh route to the destination. However, when the data packets arrive the malicious node discards
them. Pelechrinis K.et al. implemented Jamming techniques vary from simple ones based on the continual transmission of interference signals, to more sophisticated attacks that aim at exploiting vulnerabilities of the particular protocol used. In this survey, we present a detailed up-to- date discussion on the jamming attacks recorded in the literature . Mustafa.B.et al. reviewed in this study different ad hoc routing protocols for VANET. The main aim of our study was to identify which ad hoc routing method has better performance in highly mobile environment of VANET. To measure the performance of routing protocols in VANET, we considered two different scenarios i.e. city and highay. Routing protocols were selected carefully after carrying out a literature review. The selected protocols were then evaluated through simulation in terms of performance metrics i.e. throughput and packet drop .
SIMULATION SET UP
A virtual ad hoc network is designed and simulated using NetBeans with the following parameters and their respective conditions. At server side, three main sensors server sensor, collision sensor and fuel sensors which are connected to the vehicles and collects the information which is further stored in the database of the system. At client side, nodes are activated which are basically vehicles that are to be connected to the server or the wireless access vehicular network (WAVE). After activation of nodes, vehicles are activated which is equal to the number of nodes that are being activated by the client side. At the activated sensor, the information of vehicles regarding quantity of fuel left, collision prevention distance left, neighbor vehicles etcetera.
Collision sensor activate
<100 m b/w vehicles
Table 1: Conventional system parameters
Collision sensor activate
By using TSP
Table 2: Designed system parameters
Figure 1: Server side of designed system
RESULTS AND DISCUSSION
Figure 2: Client side of designed system
time, it is termed as a malicious node or unauthorized
A malicious node is detected by using time stamp protocol in which the distance from source destination to the next RSU is calculated. If the distance is covered with in the time or exact time, it is termed as an authorized node or vehicle. If the time taken to cover the distance is more than the exact
vehicle. Using the designed system the detection of malicious nodes becomes easy and it further prevents any false alarming. Hence, the designed system is much better in performance as compared to the previous systems in use.
Figure 3: Malicious node detection
Figure4:Designed system runs successfully without false alarming.
In this paper, the main focus is to improve the functioning of the VANET by designing a system which can easily detect the false alarms. Also, it has been observed that after detection of malicious nodes there is not any issue of false alarming which was the prevalent issue in the previous literature, so it has been derived from the results that the designed system is able to detect malicious nodes without
generating false alarming. Hence, it is far better in performance then the previous networks.
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