Burstification threat in Optical Burst Switched Networks

Fernandez, Terrance Frederick; Brabagaran, K.; Sreenath, N.

doi:10.1109/iccsp.2014.6949804

Cited by 2 publications

(2 citation statements)

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“…Security threats that OBS networks suffer from can be categorized into two groups: Orphan Bursts and Malicious Burst Headers [8]. An orphan burst occurs during transmission when the scheduling request for a BHP is rejected because of excessive demands and the corresponding data burst is not handled [9].…”

Section: Introductionmentioning

confidence: 99%

“…As a consequence, by flowing along an unintended path it may waste the bandwidth or might be tapped by attackers. BHPs compromised by attackers may lead to forming malicious burst headers and can be used in different types of attacks including Burst Hijacking, Burst Control Header Flooding attack, Land attack, Timeout attack and Replay attack [8].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Performance Evaluation of Sequential Minimal Optimization and K* Algorithms for Predicting Burst Header Packet Flooding Attacks on Optical Burst Switching Networks

Efeoglu

Tuna

2021

Balkan Journal of Electrical and Computer Engineering

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Optical burst switching networks are vulnerable to various threats including Burst Header Packet Flooding attack, Circulating Burst Header attack, Address Spoofing, and Replay attack. Therefore, detecting such threats play a key role in taking appropriate security measures. One of the major challenges in identifying the risks of Burst Header Packet flooding attacks is the lack or insufficiency of reliable historical data. In this paper, firstly, Burst Header Packet flooding attacks are classified into four categories, Misbehaving-Block, Behaving-No Block, Misbehaving-No Block and Misbehaving-Wait, using Sequential Minimal Optimization (SMO) and K* algorithms. Using performance metrics obtained both after testing on the same set and after applying 10-fold cross validation, the performance of SMO and K* algorithms is compared based on commonly used performance metrics. As the results show, compared to SMO, K* algorithm is more suitable for predicting Burst Header Packet Flooding attacks.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%