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L-xaids: A LIME-based eXplainable AI framework for intrusion detection systems.

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Title: L-xaids: A LIME-based eXplainable AI framework for intrusion detection systems.
Authors: Muhammad, Aoun E.1, amo874@uregina.ca, Yow, Kin-Choong1, kin.choong.yow@uregina.ca, Bačanin-Džakula, Nebojša2, nbacanin@singidunum.ac.rs, Khan, Muhammad Attique3, attique.khan@ieee.org
Source: Cluster Computing; Oct2025, Vol. 28 Issue 10, p1-34, 34p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 187729103
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: L-xaids: A LIME-based eXplainable AI framework for intrusion detection systems.
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  Data: <searchLink fieldCode="AU" term="%22Muhammad%2C+Aoun+E%2E%22">Muhammad, Aoun E.</searchLink><relatesTo>1</relatesTo>, <i>amo874@uregina.ca</i><br /><searchLink fieldCode="AU" term="%22Yow%2C+Kin-Choong%22">Yow, Kin-Choong</searchLink><relatesTo>1</relatesTo>, <i>kin.choong.yow@uregina.ca</i><br /><searchLink fieldCode="AU" term="%22Bačanin-Džakula%2C+Nebojša%22">Bačanin-Džakula, Nebojša</searchLink><relatesTo>2</relatesTo>, <i>nbacanin@singidunum.ac.rs</i><br /><searchLink fieldCode="AU" term="%22Khan%2C+Muhammad+Attique%22">Khan, Muhammad Attique</searchLink><relatesTo>3</relatesTo>, <i>attique.khan@ieee.org</i>
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  Data: <searchLink fieldCode="JN" term="%22Cluster+Computing%22">Cluster Computing</searchLink>; Oct2025, Vol. 28 Issue 10, p1-34, 34p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=187729103
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        Value: 10.1007/s10586-025-05326-9
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      – Code: eng
        Text: English
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              Text: Oct2025
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