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Data · dataset · 2026

Automated intrusion response systems

Listed in ZivaHub and Deakin Research Online and DMU Figshare — shown once because both records carry DOI 10.17034/32639616.v1

This thesis presents new research into Automated Intrusion Response Systems.

Description

These systems seek to evaluate information available to them at the time of attack detection, and subsequently determine and deploy the optimal response. Previous research proposes systems which are generally too static in both their understanding of a defended network, and in their response capability.

This leads to difficulty when handling today’s dynamic networks and the ever-evolving threat landscape. The work in this thesis investigates the application of emerging technologies and proposes new frameworks to develop more dynamic automated Intrusion Response Systems, which are less reliant on pre-defined network security models, can respond to attacker tactics outlined in MITRE’s ATT&CK, and more closely integrate with user-defined security policies.

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Specifically, the work in this thesis culminates in the proposal of an IRS which leverages Model-Free Deep Reinforcement Learning, a change in direction to model-based methods. Reinforcement Learning in a novel containerised network testbed allows the Intrusion Response System to gain a better understanding of the impact of its actions in terms of stopping an ongoing attack scenario, and also how that action impacts normal network operation through experience.

Results demonstrate successful response selection against multi-stage attack scenarios and restoration of compromised cyber-physical system processes.<br><br>

Links

Where it is published

Catalogue records · 1

Topics

Provenance · 3 source records, 7 field assertions
SourceKeyLast seenRaw
ZivaHuboai:figshare.com:article/326396168 d agoJSON v1
Deakin Research Onlineoai:figshare.com:article/326396168 d agoJSON v1
DMU Figshareoai:figshare.com:article/326396168 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].local:field:earth-environmentalmapping · zivahub uct ac zaconnector:zivahub_uct_ac_za@1.0.0
concepts[field].local:field:earth-environmentalmapping · figshare dmu ac ukconnector:figshare_dmu_ac_uk@1.0.0
concepts[field].local:field:earth-environmentalmapping · dro deakin edu auconnector:dro_deakin_edu_au@1.0.0
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license_textsource · zivahub uct ac zaconnector:zivahub_uct_ac_za@1.0.0
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titlesource · zivahub uct ac zaconnector:zivahub_uct_ac_za@1.0.0/metadata/dc/title