Survivability prediction of ad hoc networks under attack

Acosta, Jaime C.; Medina, Brenda G.

doi:10.1109/milcom.2012.6415746

Cited by 5 publications

(3 citation statements)

References 16 publications

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“…evaluation of mobile ad-hoc networks under attack [39] and analyzing secure content in manets [40] were done by using network emulation in CORE [11], a lightweight mobile ad-hoc network emulator based on IMUNES.…”

Section: Related Workmentioning

confidence: 99%

Security research and learning environment based on scalable network emulation

2017

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Subject reviewSecurity attacks are becoming a standard part of the Internet and their frequency is constantly increasing. Therefore, an efficient way to research and investigate attacks is needed. Studying attacks needs to be coupled with security evaluation of currently deployed systems that are affected by them. The security evaluation and research process needs to be completed quickly to counter the incoming attacks, but this is currently a complex and timeconsuming procedure which includes a variety of systems and tools. Furthermore, as the attack frequency is increasing, new security specialists need to be trained in a comprehensible and standardized way. We propose a new approach to security evaluation and research that uses scalable network emulation based on lightweight virtualization implemented in IMUNES. This approach provides a unified testing environment that is efficient and straightforward to use. The emulated environment also couples as a portable and intuitive training tool. Through a series of implemented and evaluated scenarios we demonstrate several concepts that can be used for a novel approach in security evaluation and research. Keywords: network emulation; protocol evaluation; security testing; virtualizationOkolina za istraživanje i podučavanje sigurnosti zasnovana na skalabilnoj emulaciji računalnih mreža Pregledni članakSigurnosni napadi postaju svakodnevni dio Interneta, a učestalost njihovog izvođenja u stalnom je porastu. Zbog toga je potrebno razviti metodu za učinkovito istraživanje i analizu takvih napada. Proučavanje napada potrebno je izvoditi u sprezi s procjenom sigurnosti računalnih sustava na kojima se u tom trenutku izvršavaju napadi. Procjena sigurnosti i proces istraživanja moraju se moći obaviti u kratkom vremenu zbog što brže zaštite od dolazećeg napada. Trenutno je to kompleksan i vremenski zahtjevan zadatak koji uključuje širok raspon sustava i alata. Također, budući da se učestalost napada povećava, novi sigurnosni stručnjaci moraju se obučavati na način koji im je razumljiv i standardiziran. Predlažemo novi pristup procjeni sigurnosti i istraživanju koji koristi skalabilnu emulaciju mreže zasnovanu na virtualizaciji korištenoj u alatu IMUNES. Ovakav pristup pruža ujedinjenu okolinu za testiranje koja je efikasna i jednostavna za korištenje. Emulirana okolina također može služiti kao prenosiv i intuitivan alat za podučavanje i vježbu. Kroz niz implementiranih i analiziranih scenarija, pokazali smo određene koncepte koji se mogu koristiti za novi pristup u procjeni i istraživanju sigurnosti.

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Section: Related Workmentioning

confidence: 99%

Security research and learning environment based on scalable network emulation

2017

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“…Work in [1] describes a novel analysis methodology that uses log data from several emulation executions to generate models. These models can be used to develop accurate simulations, quicklook attack impact analysis, decision support, and others.…”

Section: Execution-based Model Generationmentioning

confidence: 99%

“…Another feature of the analysis component is a model quality estimator that will provide an indication of the potential quality of a model that would result from the model generation component. This estimate will be based on the similarity of data resulting from similar scenario executions (we will use the conflict detector algorithm from [1]). …”

Section: Sedapmentioning

confidence: 99%

An Analysis Platform for Execution-Based Model Generation

Acosta

Salamah

2016

2016 IEEE 17th International Symposium on High Assurance Systems Engineering (HASE)

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Generating models from binary execution outputs can result in efficient network system security analysis. Previous work in execution-based model generation has shown success for analyzing impacts of routing attacks, but requires a large amount of manual and expert-level intervention due to the lack of a structured analysis platform. In this document, we describe our ongoing work to build SEDAP, which is a plugin-based platform that provides a flexible and efficient mechanism for the model generation process. This platform consists of a web portal that allows analysts to setup network scenarios, view resultant data, and execute analysis algorithms.

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