A framework for managing faults and attacks in all-optical transport networks

Patell, J.K.; Kim, S.U.; Su, David; Subramaniam, Suresh; Choi, Hyeong‐Ah

doi:10.1109/discex.2001.932166

Cited by 15 publications

(22 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is also possible for a single point attack on a link to affect not only the first node it reaches, but also other adjacent nodes to which the first node is connected. This attack can be done inexpensively and subtly and can be targeted at individual users [13]. Out-of-band jamming is a type of denial of service attack in which the attacker diminishes the transmission or flow of a signal by exploiting components with cross-talk leaks or cross-modulation effects.…”

Section: Reliability Assessment Of Denial Of Service Due To Coordinatmentioning

confidence: 99%

An integrated framework for the assessment of network operations, reliability, and security

Chu¹,

Chu²

2004

Bell Labs Tech. J.

View full text Add to dashboard Cite

Section: Reliability Assessment Of Denial Of Service Due To Coordinatmentioning

confidence: 99%

An integrated framework for the assessment of network operations, reliability, and security

Chu¹,

Chu²

2004

Bell Labs Tech. J.

View full text Add to dashboard Cite

“…But the binary status of crosstalk levels at a node is simple and often observable. In fact, a frequent scenario for attack detection and monitoring is whether a predetermined threshold or service guarantee is violated at each node [5] [6] [7]. When the amount of cross-talk is below the threshold, the node is "up", i.e., operational; otherwise, the node is "down", i.e., affected.…”

Section: B Probabilistic Attack Propagation Modelmentioning

confidence: 99%

“…Necessary and sufficient conditions for crosstalk attack localization are investigated in [2]. General frameworks for managing faults and alarms in AON are discussed in [5] [6] [7]. All these approaches are reactive in nature.…”

Section: Introductionmentioning

confidence: 99%

Resilience of all-optical network architectures under in-band crosstalk attacks: a probabilistic graphical model approach

Liu

2007

IEEE J. Select. Areas Commun.

View full text Add to dashboard Cite

An important question for secure all-optical networks (AONs) is how to incorporate security against attacks in the design and engineering of network architectures. In this work, we study the resilience of AON architectures under inband crosstalk attacks. Crosstalk attack propagation depends on both optical devices at the physical layer and wavelength usage at the network layer. This motivates us to employ probabilistic graphical models to model attack propagation. At the physical layer, we use a directed probabilistic graph (Bayesian Belief Network) to model the attack propagation under static network traffic and a given source of attack. At the network layer, we use an undirected probabilistic graph to represent the probability distribution of active connections in the network. The cross-layer model is obtained by combining the physical-and the networklayer models into a factor graph representation. Graphical models provide an explicit representation of interactions between the physical-and the network layer. Furthermore, graphical models facilitate derivations of analytical results on resilience with respect to physical-layer vulnerability, physical topology, and network load. Specifically, we derive bounds on the network resilience for regular topologies. For ring, star, and mesh-torus networks with link-shortest path routing and all-to-all traffic, we show that the average network resilience loss grows linearly with respect to the network load when the network load is small, and polynomially with respect to the probability of attack propagation from node to node along the attacker's route. In addition, numerical results suggest that the sum-product algorithm based on the factor graph representation can be used for computationally efficient evaluation of network resilience for irregular/large topologies.

show abstract

“…However, most of these methods are too difficult to implement in every AON component or require access to the electrical domain [3]- [5]. Although there are many reasons why crosstalk attacks must be detected and identified at any point in the network where they may occur, it has been shown that it is not necessary to put monitors at all AON nodes [6], [7]. Furthermore, it has been shown that monitoring information for any established lightpath on the input and output sides of each optical cross-connect (OXC) node is sufficient to localize the source of multiple crosstalk attacks and to identify their natures in AONs [8].…”

mentioning

confidence: 99%

Performance Monitoring Method for All-Optical Networks

Jedidi

Abid

2009

2009 International Conference on Networking and Digital Society

View full text Add to dashboard Cite

All-Optical Networks provide ultra-fast data rates, but present a new set of challenges for network security. However optical performance monitoring (OPM) and optical network management (ONM) are essential in building a reliable, high-capacity, and service-differentiation enabled alloptical network. One of the serious problems with transparency 1 is the fact that optical crosstalk is additive, and thus the aggregate effect of crosstalk over a whole AON may be more nefarious than a single point of crosstalk. Attacks can spread rapidly through the network, causing additional awkward failures and triggering multiple undesirable alarms, they must be detected and identified at any point in the network where they may occur. This results in the continuous monitoring and identification of the impairments becoming challenging in the event of transmission failures. However, a simple and reliable signal quality monitoring method does not exist at present. In this paper we present a novel method for attack identification and localization in networks with a minimum of complexity and cost. This method can participate in some tasks for fault management in optical network.

show abstract

A framework for managing faults and attacks in all-optical transport networks

Cited by 15 publications

References 12 publications

An integrated framework for the assessment of network operations, reliability, and security

An integrated framework for the assessment of network operations, reliability, and security

Resilience of all-optical network architectures under in-band crosstalk attacks: a probabilistic graphical model approach

Performance Monitoring Method for All-Optical Networks

Contact Info

Product

Resources

About