Detection of Multicast Video Flooding Attack using the Pattern of Bandwidth Provisioning Efficiency

Kim, NamUk; Lim, Ho-Joon; Park, Hong-shik; Kang, Minho

doi:10.1109/lcomm.2010.101210.101053

Cited by 7 publications

(3 citation statements)

References 6 publications

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“…The aim of the flooding attack [10] [11], is to exhaust the network resources, such as bandwidth and to consume a node's resources, such as computational and battery power or to disrupt the routing operation to cause severe degradation in network performance. A malicious node can send a large number of RREQs in a short period to a destination node that does not exist in the network.…”

Section: Flooding Attackmentioning

confidence: 99%

Secluding RSGM Protocol against Multicast Attacks

Amuthan¹,

Parthiban²,

Kaviarasan³

2013

IJCA

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In the presence of malicious nodes, one of the main challenges in MANETs is to design a novel, scalable and robust Geographic Multicast Protocol (RSGM) that can protect MANETs from various routing attacks. The vulnerabilities in the RSGM protocol were explored and various attacks like blackhole, wormhole and flooding attack are simulated. Several virtual architectures are used in the protocol without need of maintaining state information for more robust and scalable membership management and packet forwarding in the presence of high network dynamics due to unstable wireless channels and node movements. Specifically, scalable and efficient group membership management is performed through a virtual-zone-based structure, and the location service for group members is integrated with the membership management. Both the control messages and data packets are forwarded along efficient treelike paths, but there is no need to explicitly create and actively maintain a tree structure. The stateless virtual tree-based structures significantly reduce the tree management overhead, support more efficient transmissions, and make the transmissions much more robust to dynamics. Geographic forwarding is used to achieve scalability and robustness. Differences mechanisms have been proposed using various techniques to countermeasure the routing attack against MANETs. However, these mechanisms are not suitable for MANETs resource constraints. In a mobile scenario, mesh based protocols outperformed tree-based protocols. The availability of alternate routes provided robustness and scalability. The different routing attacks, such as flooding, blackhole and wormhole are simulated using NS2.28 version and efficient proactive counter measure is provided using HMAC function which would lead to a drastic change is performance metric like packet delivery ratio, control overhead and end to end delay which is used to prove that the proposed solution was efficient and robust.

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Section: Flooding Attackmentioning

confidence: 99%

Secluding RSGM Protocol against Multicast Attacks

Amuthan¹,

Parthiban²,

Kaviarasan³

2013

IJCA

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“…A common defense (used by SNEP) is to include a monotonically increasing counter with every message and to not accept messages with old counter values. A. Gosal et al (2010) have shown that the average data freshness in the presence of 25 malicious nodes is near 96%, whereas its values are 88% and 81% for 50 and 100 malicious nodes respectively. The results show that data freshness is inversely related to the number of malicious nodes present in the network.…”

Section: Requirements For Secure Sensor Network Protocols Data Freshnessmentioning

confidence: 99%

A Full Review of Attacks and Countermeasures in Wireless Sensor Networks

Niksaz

Kargar

2012

International Journal of Information Security and Privacy

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Wireless Sensor Networks (WSNs) have been recognized for their utility in a variety of different fields including military sensing and tracking, environmental monitoring, patient monitoring and tracking smart environments. The more scientists try to develop further cost and energy efficient computing devices and algorithms for WSNs, the more challenging it becomes to fit the security of WSNs into such a constrained environment. Thus, familiarity with the security aspects of WSNs is essential before designing WSN systems. In order to provide effective integrity, confidentiality, and authentication during communication, the need for additional security measures in WSNs emerges. In this paper, the authors review the security requirements for WSNs, the different kinds of possible attacks, and security mechanisms used to overcome these attacks. The authors also present some statistical data for such attacks in WSN and some tables that indicate a comparison between different security mechanisms.

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“…Amid the existing findings, there are highlighted DDoS attack schemes , such as user datagram protocol (UDP) flood by sending UDP packets with spoofed return addresses and continuously generating characters to the victims who respond the requests; synchronize flood attacks that damage the famous three‐way handshake agreement in transmission control protocol communication networks; and Smurf attack that is simple enough for untrained intruders to flood malicious Internet Control Message Protocol messages to overwhelmed victim's systems.…”

Section: Introductionmentioning

confidence: 99%

Anomaly diagnosis based on regression and classification analysis of statistical traffic features

Liu

Jin

Min

et al. 2013

Security Comm Networks

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Traffic anomalies caused by Distributed Denial-of-Service (DDoS) attacks are major threats to both network service providers and legitimate customers. The DDoS attacks regularly consume and exhaust the resources of victims and hence result in abnormal bursty traffic through end-user systems. Additionally, malicious traffic aggregated into normal traffic often show dramatic changes in the traffic nature and statistical features. This study focuses on early detection of traffic anomalies caused by DDoS attacks in light of analyzing the network traffic behavior. Key statistical features including variance, autocorrelation, and self-similarity are employed to characterize the network traffic. Further, artificial neural network and support vector machine subject to the performance metrics are employed to predict and classify the abnormal traffic. The proposed diagnosis mechanism is validated through experiments where the datasets consist of two groups. The first group is the Massachusetts Institute of Technology Lincoln Laboratory dataset containing labeled DoS attack. The second group collected from DDoS attack simulation experiments covers three representative traffic shapes resulting from the dynamic attack rate configuration, namely, constant intensity, ramp-up behavior, and pulsing behavior. The experimental results demonstrate that the developed mechanism can effectively and precisely alert the abnormal traffic within short response period.

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Detection of Multicast Video Flooding Attack using the Pattern of Bandwidth Provisioning Efficiency

Cited by 7 publications

References 6 publications

Secluding RSGM Protocol against Multicast Attacks

Secluding RSGM Protocol against Multicast Attacks

A Full Review of Attacks and Countermeasures in Wireless Sensor Networks

Anomaly diagnosis based on regression and classification analysis of statistical traffic features

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