Performance Analysis of Disable IP Broadcast Technique for Prevention of Flooding-Based DDoS Attack in MANET

Chaba, Yogesh; Singh, Yudhvir; Aneja, Preeti

doi:10.4304/jnw.4.3.178-183

Cited by 8 publications

(8 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The First type of DDoS attack aims at attacking the victim node so as to drop some or all of the data packets for further forwarding even when there is no congestion in the network, is known as Malicious Packet Dropping-based DDoS attack [36]. The second type of DDoS attack is based on a huge volume of attack traffic, which is known as a Flooding-based DDoS attack [36]. A flooding-based DDoS attack tries to clog the victim's network bandwidth and other resources with real-looking but unwanted IP data.…”

Section: Ddos Attack Mechanismmentioning

confidence: 99%

See 1 more Smart Citation

A Novel Solution to Handle DDOS Attack in MANET

Chhabra¹,

Gupta²,

Almomani³

2013

JIS

View full text Add to dashboard Cite

Distributed Denial of Service (DDoS) attacks in the networks needs to be prevented or handled if it occurs, as early as possible and before reaching the victim. Dealing with DDoS attacks is difficult due to their properties such as dynamic attack rates, various kinds of targets, big scale of botnet, etc. Distributed Denial of Service (DDoS) attack is hard to deal with because it is difficult to distinguish legitimate traffic from malicious traffic, especially when the traffic is coming at a different rate from distributed sources. DDoS attack becomes more difficult to handle if it occurs in wireless network because of the properties of ad hoc network such as dynamic topologies, low battery life, multicast routing, frequency of updates or network overhead, scalability, mobile agent based routing, and power aware routing, etc. Therefore, it is better to prevent the distributed denial of service attack rather than allowing it to occur and then taking the necessary steps to handle it. This paper discusses various the attack mechanisms and problems due to DDoS attack, also how MANET can be affected by these attacks. In addition to this, a novel solution is proposed to handle DDoS attacks in mobile ad hoc networks (MANETs).

show abstract

Section: Ddos Attack Mechanismmentioning

confidence: 99%

“…Cisco routers support two kinds of broadcasting, the directed broadcast and the flooded one. In a directed broadcast, a packet is sent to a specific network or series of networks, whereas a flooded broadcast is a packet meant for every network or for every node in the network [36].…”

Section: Proposed Prevention Techniquementioning

confidence: 99%

A Novel Solution to Handle DDOS Attack in MANET

Chhabra¹,

Gupta²,

Almomani³

2013

JIS

View full text Add to dashboard Cite

show abstract

“…• Flooding attack: The attacker attempts to overload the network bandwidth by broadcasting massive forged packets (Chaba et al, 2009). In our experiment, some malicious nodes send out mass RREQ packets all over the network.…”

Section: Security In Manetsmentioning

confidence: 99%

Performance analysis of machine learning algorithms for intrusion detection in MANETs

Jiang

Wang

et al. 2013

IJWMC

View full text Add to dashboard Cite

Mobile Ad-hoc network (MANET) has become an important technology in recent years and the corresponding security problems are getting more and more attention. In this paper, we apply seven well-known machine learning algorithms to detect intrusions in MANETs. We have generated training data under various simulation parameters. We also propose a new measure method which uses five new features to represent the network traffic. The analysis results show that the multilayer perceptron, logistic regression and Support Vector Machine (SVM) have the best performance and the logistic regression and SVM also get very little time to train the classification model. Q. (2013) 'Performance analysis of machine learning algorithms for intrusion detection in MANETs', Int.

show abstract

“…The Denial of service (DoS) attack is an unsolved tough problem in internet for many years. This problem became more serious due to appearance of many variant DoS attacks, which can be divided into two types of attack, which are defined as Flood [1] and Shrew [2]. The Flood DoS attacks send large volume of traffic to throttle the victim, while the Shrew attacks dispatch relative low rate of flows to degrade the target service performance.…”

Section: Introductionmentioning

confidence: 99%

Cross-correlation Based Synchronization Mechanism of LDDoS Attacks

Wu¹,

Cui²,

Ma³

et al. 2014

JNW

View full text Add to dashboard Cite

A success Low-rate Distributed Denial of Service (LDDoS) attack is composed of many single sources of Lowrate Denial of Service (LDoS) attacks, which are wellorganized in time synchronization to aggregate the attack flow at the end of target router. This paper addresses time synchronization and flow aggregation in LDDoS attacks for the purpose of exploring the attack performance. A crosscorrelation algorithm is proposed to guarantee all networkwide distributed attack pulses aggregate at the victim end with a strict time limitation to form a powerful attack pulse. Experiments on the attack performance of LDoS and LDDoS attack are performed in NS-2 simulation platform. Experiment results show that the LDDoS attack effects can be improved significantly by using cross-correlation algorithm to coordinate attack pulses, which obtain better attack performance than many single dependent attack pulses.

show abstract

Performance Analysis of Disable IP Broadcast Technique for Prevention of Flooding-Based DDoS Attack in MANET

Cited by 8 publications

References 10 publications

A Novel Solution to Handle DDOS Attack in MANET

A Novel Solution to Handle DDOS Attack in MANET

Performance analysis of machine learning algorithms for intrusion detection in MANETs

Cross-correlation Based Synchronization Mechanism of LDDoS Attacks

Contact Info

Product

Resources

About