Multiple attack localization and identification in all-optical networks

Rejeb, R.; Leeson, Mark S.; Green, R. J.

doi:10.1016/j.osn.2005.12.001

Cited by 33 publications

(15 citation statements)

References 8 publications

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“…This also causes crosstalk, which accumulates from several AON components as the signals travels downstream through many intermediate AON nodes in the network. According to whether it has the same nominal wavelength as an affected signal or not, crosstalk can be categorized in two forms, interchannel and intrachannel [3].…”

Section: Attack Scenariomentioning

confidence: 99%

Received Power Improvement using SOA in All-optical Networks

Singh¹,

Singh²

2013

IJCA

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Network management for optical networking facing many problems as the system capacity and complexity increasing day by day that arises by using the transparent optical network components in communication system. In this article we are proposing a novel scheme of all optical networking management system. Semiconductor optical amplifier (SOA) is used after the channel to equalize the signal power which will help us to reduce crosstalk and reduce the probability of the failure of the network. Network failure occurs in the network by increasing the signal power by external source therefore amplified signal travel longer distance then the required distance. To overcome from this problem SOA is used to equalizing the power and to reduce the networks failures. General TermsOptical communication, fault management in optical networks.

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Section: Attack Scenariomentioning

confidence: 99%

Received Power Improvement using SOA in All-optical Networks

Singh¹,

Singh²

2013

IJCA

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“…In [4], authors have shown that false alarms can be corrected in polynomial time but the correction of miss alarms is NP-hard. In [6] algorithm for multiple attack localization and identification in all-optical networks has been presented. In this paper, the scheme has been divided into two phases namely i) fault(attack) monitoring: monitoring devices placement with dynamic lightpaths and ii) fault localization.…”

Section: A Motivation and Contributionmentioning

confidence: 99%

Fault and attack management in optical networks

Pal

Mukherjee²,

Naskar

2009

2009 2nd International Conference on Computer, Control and Communication

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This paper proposes fault(attack) detection and localization scheme to handle multiple failures(attacks) in the optical network using wavelength-division multiplexing (WDM) technology. This proposed scheme is two-phased scheme containing (a) the detection of faults(attacks) through monitoring devices raising alarms (fault or attack detection) and (h) subsequently the localization of these faults or attacks (fault or attack localization) by invoking an algorithm. The later phase will obtain a set of potential faulty(attacked) nodes (links). Next the scheme locates the exact faulty(attacked) node(link) by the process of sending and receiving signals. I have demonstrated the performance of the scheme on 14-node NSFNet and 28-node EuroNet. Next I have compared this scheme with an existing algorithm [I] for locating faulty nodes (links). The proposed scheme outperforms the existing one.

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“…This also causes crosstalk, which accumulates from several AON components as the signals propagate downstream through many intermediate AON nodes in the network. According to whether it has the same nominal wavelength as an affected signal or not, crosstalk can be categorized in two forms, namely interchannel crosstalk and intrachannel crosstalk [5]. The former arises between adjacent signals at different wavelengths, whilst the latter occurs between signals at the same nominal wavelength.…”

Section: A Type Of Attacks In Aonsmentioning

confidence: 99%

“…This section presents an outline of the Multiple Attack Localization and Identification (MALI) algorithm [5] that can participate in some tasks for fault management of AONs. The main task of the MALI algorithm is to correlate multiple security failures and attacks locally at any AON node and to discover their tracks through the network.…”

Section: Attack Localization and Identification Algorithmmentioning

confidence: 99%