Testbed@<scp>TWISC</scp>: A network security experiment platform

Tsai, Pang Wei; Yang, Chu Sing

doi:10.1002/dac.3446

Cited by 11 publications

(12 citation statements)

References 42 publications

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“…Only five TBs were identified ( Table 1 ), of which three were applied in academia for the purposes of education and research; Testbed@TWISC [ 40 ], CyberVan [ 42 ], and INSALATA [ 41 ]. SoftGrid [ 43 ] and systems such as LARIAT [ 33 , 44 ], have been applied in defence and intelligence training.…”

Section: Systematic Reviewmentioning

confidence: 99%

“…CyberVan [ 42 ] is a public type of Test-Bed, while Testbed@TWISC [ 40 ], INSALATA [ 41 ], SoftGrid [ 43 ] and LARIAT [ 33 , 44 ] are private TBs.…”

Section: Systematic Reviewmentioning

confidence: 99%

“…Testbed@TWISC [ 40 ], INSALATA [ 41 ], SoftGrid [ 43 ] and LARIAT [ 33 , 44 ] all use emulation techniques except CyberVan [ 42 ] that is based on simulation.…”

Section: Systematic Reviewmentioning

confidence: 99%

See 2 more Smart Citations

A Review of Cyber-Ranges and Test-Beds: Current and Future Trends

Ukwandu

Farah

Hindy

et al. 2020

Sensors

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Cyber situational awareness has been proven to be of value in forming a comprehensive understanding of threats and vulnerabilities within organisations, as the degree of exposure is governed by the prevailing levels of cyber-hygiene and established processes. A more accurate assessment of the security provision informs on the most vulnerable environments that necessitate more diligent management. The rapid proliferation in the automation of cyber-attacks is reducing the gap between information and operational technologies and the need to review the current levels of robustness against new sophisticated cyber-attacks, trends, technologies and mitigation countermeasures has become pressing. A deeper characterisation is also the basis with which to predict future vulnerabilities in turn guiding the most appropriate deployment technologies. Thus, refreshing established practices and the scope of the training to support the decision making of users and operators. The foundation of the training provision is the use of Cyber-Ranges (CRs) and Test-Beds (TBs), platforms/tools that help inculcate a deeper understanding of the evolution of an attack and the methodology to deploy the most impactful countermeasures to arrest breaches. In this paper, an evaluation of documented CRs and TBs platforms is evaluated. CRs and TBs are segmented by type, technology, threat scenarios, applications and the scope of attainable training. To enrich the analysis of documented CRs and TBs research and cap the study, a taxonomy is developed to provide a broader comprehension of the future of CRs and TBs. The taxonomy elaborates on the CRs/TBs dimensions, as well as, highlighting a diminishing differentiation between application areas.

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Section: Systematic Reviewmentioning

confidence: 99%

“…CyberVan [ 42 ] is a public type of Test-Bed, while Testbed@TWISC [ 40 ], INSALATA [ 41 ], SoftGrid [ 43 ] and LARIAT [ 33 , 44 ] are private TBs.…”

Section: Systematic Reviewmentioning

confidence: 99%

See 1 more Smart Citation

A Review of Cyber-Ranges and Test-Beds: Current and Future Trends

Ukwandu

Farah

Hindy

et al. 2020

Sensors

View full text Add to dashboard Cite

show abstract

“…The use in of CRs in Government was at 15% rate, while other application areas such as Law Enforcement, Service Providers, and Open-Source constitute only 2% of the manuscripts surveyed. Only five TBs were identified (Table 1), of which three were applied in academia for the purposes of education and research; Testbed@TWISC [29], CyberVan [31], and INSALATA [30]. SoftGrid [32] and systems such as LARIAT [33] [22], have been applied in defence and intelligence training.…”

Section: Cyber-ranges and Test-bedsmentioning

confidence: 99%

“…• Types: Figure 5 CyberVan [31] is a public type of Test-bed, while Testbed@TWISC [29], INSALATA [30], SoftGrid [32] and LARIAT [33] [22] are private TBs.…”

Section: Cyber-ranges and Test-bedsmentioning

confidence: 99%

A Review of Cyber-Ranges and Test-Beds: Current and Future Trends

Ukwandu¹,

Farah²,

Hindy³

et al. 2020

Preprint

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Cyber situational awareness has been proven to be of value in forming a comprehensive understanding of threats and vulnerabilities within organisations, as the degree of exposure is governed by the prevailing levels of cyber-hygiene and established processes. A more accurate assessment of the security provision informs on the most vulnerable environments that necessitate more diligent management. The rapid proliferation in the automation of cyber-attacks is reducing the gap between information and operational technologies and the need to review the current levels of robustness against new sophisticated cyber-attacks, trends, technologies and mitigation countermeasures has become pressing. A deeper characterisation is also the basis with which to predict future vulnerabilities in turn guiding the most appropriate deployment technologies. Thus, refreshing established practices and the scope of the training to support the decision making of users and operators. The foundation of the training provision is the use of Cyber-Ranges (CRs) and Test-Beds (TBs), platforms/tools that help inculcate a deeper understanding of the evolution of an attack and the methodology to deploy the most impactful countermeasures to arrest breaches. In this paper, an evaluation of documented CR and TB platforms is evaluated. CRs and TBs are segmented by type, technology, threat scenarios, applications and the scope of attainable training. To enrich the analysis of documented CR and TB research and cap the study, a taxonomy is developed to provide a broader comprehension of the future of CRs and TBs. The taxonomy elaborates on the CRs/TBs different dimensions, as well as, highlighting a diminishing differentiation between application areas.

show abstract