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Design and Generation of a Set of Declarative APIs for Security Orchestration

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3AMJWI7AXW" target="_blank" >RIV/00216208:11320/25:MJWI7AXW - isvavai.cz</a>

  • Nalezeny alternativní kódy

    RIV/00216208:11320/23:FCFCBWMP

  • Výsledek na webu

    <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179115313&doi=10.1109%2fTSC.2023.3336666&partnerID=40&md5=04abb6d69632ab409bad1165fd770027" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179115313&doi=10.1109%2fTSC.2023.3336666&partnerID=40&md5=04abb6d69632ab409bad1165fd770027</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/TSC.2023.3336666" target="_blank" >10.1109/TSC.2023.3336666</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Design and Generation of a Set of Declarative APIs for Security Orchestration

  • Popis výsledku v původním jazyce

    The emerging threat landscape causes continuous change in the Incident Response Process (IRP) and security tools of security orchestration platforms (SOAR). Users of such platforms often struggle to adapt to these changes because they are addressed in an ad-hoc manner through a complex architecture. The complex design of the SOAR can be hidden behind an easy-to-use user interface. This article introduces a Declarative API (DAPI)-driven Orchestration approach, DecOr, that alleviates the need for security teams' detailed understanding of the libraries and plugins to address the changes of a SOAR. DecOr comprises 1) three sets of dAPIs to encapsulate the activities of security orchestration and 2) a semantic framework to support the design and generation of dAPIs from task descriptions, leveraging natural language processing techniques. The dAPIs are mapped with an ontological knowledge base to execute IRPs. We experimentally evaluate the effectiveness and efficiency of DecOr based on 147 task and dAPI pairs, curated from real-world playbooks. We show the end-to-end process from identifying dAPIs to executing 48 IRPs with seven security tools. The evaluation results show, DecOr accurately generates dAPIs in near real-time, with precision and recall values over 80% and successfully executes changing IRPs 93% of the time. © 2008-2012 IEEE.

  • Název v anglickém jazyce

    Design and Generation of a Set of Declarative APIs for Security Orchestration

  • Popis výsledku anglicky

    The emerging threat landscape causes continuous change in the Incident Response Process (IRP) and security tools of security orchestration platforms (SOAR). Users of such platforms often struggle to adapt to these changes because they are addressed in an ad-hoc manner through a complex architecture. The complex design of the SOAR can be hidden behind an easy-to-use user interface. This article introduces a Declarative API (DAPI)-driven Orchestration approach, DecOr, that alleviates the need for security teams' detailed understanding of the libraries and plugins to address the changes of a SOAR. DecOr comprises 1) three sets of dAPIs to encapsulate the activities of security orchestration and 2) a semantic framework to support the design and generation of dAPIs from task descriptions, leveraging natural language processing techniques. The dAPIs are mapped with an ontological knowledge base to execute IRPs. We experimentally evaluate the effectiveness and efficiency of DecOr based on 147 task and dAPI pairs, curated from real-world playbooks. We show the end-to-end process from identifying dAPIs to executing 48 IRPs with seven security tools. The evaluation results show, DecOr accurately generates dAPIs in near real-time, with precision and recall values over 80% and successfully executes changing IRPs 93% of the time. © 2008-2012 IEEE.

Klasifikace

  • Druh

    J<sub>SC</sub> - Článek v periodiku v databázi SCOPUS

  • CEP obor

  • OECD FORD obor

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Návaznosti výsledku

  • Projekt

  • Návaznosti

Ostatní

  • Rok uplatnění

    2024

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název periodika

    IEEE Transactions on Services Computing

  • ISSN

    1939-1374

  • e-ISSN

  • Svazek periodika

    17

  • Číslo periodika v rámci svazku

    1

  • Stát vydavatele periodika

    US - Spojené státy americké

  • Počet stran výsledku

    15

  • Strana od-do

    127-141

  • Kód UT WoS článku

  • EID výsledku v databázi Scopus

    2-s2.0-85179115313