Flooding attacks detection in MANETs

Rmayti, Mohammad; Begriche, Youcef; Khatoun, Rida; Khoukhi, Lyes; Gaïti, Dominique

doi:10.1109/ssic.2015.7245675

Cited by 12 publications

(5 citation statements)

References 12 publications

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“…The proposed method has provided less end-to-end delay times than [15,16]. The studies in the references [6,8] show a high similarity with the proposed method in terms of end-to-end delay times In Figure 6, the comparison of the dropped packets uses the proposed FA-AODV algorithm instead of the attacked AODV protocol, and results obtained are close to the AODV protocol which works in the non-attack scenario due to isolating the attacker nodes from the network. The increase in the number of packets dropped indicates that the attacker blocked the communication and caused a network blockage.…”

Section: Fa-aodv Algorithm Performance Analysismentioning

confidence: 99%

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FA-AODV: Flooding Attacks Detection Based Ad Hoc On-Demand Distance Vector Routing Protocol for VANET

Tosunoglu

Koçak

2022

Sakarya University Journal of Computer and Information Sciences

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Vehicular Ad-Hoc Networks (VANET) is anticipated to be the most effective way of increasing performance and safety in transportation in the near future. VANETs are the sub-branch of Ad-Hoc Networks which provide safety and comfort features together with related services for the vehicle operators. RREQ flood attack mostly encountered in the literature for security of VANET. Due to the nature of the reactive protocols, the AODV routing protocol is quite open to attack types such as flood attack. Flood attacks occur in the network layer. The impact of flood attacks is not about victim nodes, it can be also affect the whole network. A malicious attack that could be carried out in VANET could cause accidents that would cause a serious disaster. A malicious node could penetrate into the IP addresses on a Flood Attack based User Datagram Protocol (UDP) to breakdown the data communication between two vehicles. The main purpose of this paper is to detect and prevent the flood attack, during the operation of the routing protocol and to decrease the end-to-end delay on the network.

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Section: Fa-aodv Algorithm Performance Analysismentioning

confidence: 99%

“…IP address spoofing creates offensive fake routing packets using addresses that are assigned to others or never assigned. Several security solutions have been proposed to solve various problems related to flood attacks in the VANETs [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

FA-AODV: Flooding Attacks Detection Based Ad Hoc On-Demand Distance Vector Routing Protocol for VANET

Tosunoglu

Koçak

2022

Sakarya University Journal of Computer and Information Sciences

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“…The primary function of the network layer is routing [21]. In MANET most of the attacks are delivered after accessing the routing information [22].…”

Section: Network Layer Attacks On Aodvmentioning

confidence: 99%

Identifying the Impacts of Active and Passive Attacks on Network Layer in a Mobile Ad-hoc Network: A Simulation Perspective

Ahamed¹,

Fernando²

2020

IJACSA

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In this research, we attempted to investigate about the features and behaviors of network layer based active and passive attacks in Ad-hoc On-Demand Vector (AODV) routing protocol in Mobile Ad-hoc Networks (MANET). Through the literature survey, we try to understand the features of each attacks and examine the behaviors of these attacks through simulations via Network Simulator 2 (NS2). Blackhole, Grayhole and Wormhole attacks are used in this simulation study. Each attacks are introduced independently into the network to find the impacts on network performances that are evaluated through Packet Delivery Ratio (PDR), Average End-to-End Delay (AEED), Throughput, Average Data Dropping Rate (ADDR) and Simulation Processing Time at Intermediate Nodes (SPTIN). To obtain more accurate results, simulation parameters are maintained same in each simulation. A controller network is simulated to compare with each attack simulation. Simulations are repeated by changing the number of connected intermediate nodes (hops) in the network. We observed at collected data analysis, the lowest SPTIN in the network that contained a Blackhole or Grayhole attack out of these three attacks. The network which is affected by a Blackhole attack shows higher amount of ADDR than controller network. Furthermore data forwarding rate is higher in the network which is affected by a Wormhole attack. Finally, according to the simulation studies, we are able to understand that Blackhole and Grayhole attacks cause more damage to the network performances than Wormhole attacks.

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“…M. Rmayti et al [15] developed a detection system for RREQ Flooding attack in MANET. The developed system has two components: anomaly notification procedure and Security and Communication Networks 5 malicious flooding detection mechanism.…”

Section: Related Workmentioning

confidence: 99%

“…The limitation in [8,12,13,17] is that an alarm message is broadcasted to normal nodes after the detection of an attacker node in the If the requesting node is in the suspicious list and it broadcasts requests for different IDs then add requester node ID to the black list If the requesting node is not in the suspicious list and it broadcasts requests for different IDs then add requester node ID to the suspicious list network, which makes the network vulnerable to a blackmail attack because a blackmail attacker node can broadcast false alarm messages containing normal nodes IDs to isolate them from other normal nodes in the network. The limitation in [15] is that the detection of an attacker node depends on the exchange of information about other nodes, which makes the network vulnerable to false information exchange by cooperative attacker nodes. The limitation in [11] is that the proposed model depends on clustering the network to detect the attacker node and it is known that clustering has a high overhead in MANET.…”

Section: Related Workmentioning

confidence: 99%

Avoiding and Isolating Flooding Attack by Enhancing AODV MANET Protocol (AIF_AODV)

Zant

Yasin

2019

Security and Communication Networks

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Security in MANET is an essential task in preventing the harm that could be caused by malicious nodes in the network. Flooding attack is one of DoS attacks that aim to exhaust the network resources by flooding the network with a lot of fake packets and messages. There are different forms of Flooding attacks, and the most common form is the request one. Request Flooding attack keeps flooding the network with a lot of requests to the fake nodes that do not exist in the network. In this research, we presented a new enhanced AODV protocol AIF AODV that can detect and isolate flooding nodes in the network. NS-2.35 is used to simulate and to prove the efficiency of the proposed technique. The results of the enhanced protocol in terms of Throughput, End to End Delay, PDF, ARE, and NRL are very close to the native AODV without Flooding attack. The comparisons with other models showed that the proposed model AIF_AODV has a better Throughput characteristic.

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Flooding attacks detection in MANETs

Cited by 12 publications

References 12 publications

FA-AODV: Flooding Attacks Detection Based Ad Hoc On-Demand Distance Vector Routing Protocol for VANET

FA-AODV: Flooding Attacks Detection Based Ad Hoc On-Demand Distance Vector Routing Protocol for VANET

Identifying the Impacts of Active and Passive Attacks on Network Layer in a Mobile Ad-hoc Network: A Simulation Perspective

Avoiding and Isolating Flooding Attack by Enhancing AODV MANET Protocol (AIF_AODV)

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