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An Efficient Mutual Authentication and Fractional Lyrebird Optimization With Deep Learning–Based SIP‐Based DRDoS Attack Detection.

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Title: An Efficient Mutual Authentication and Fractional Lyrebird Optimization With Deep Learning–Based SIP‐Based DRDoS Attack Detection.
Authors: Sreenivasulu, V.1, Ravikumar, C. V.1, cvrkvit@gmail.com, Poruran, Sivakumar1, sivakumar@drngpit.ac.in
Source: International Journal of Distributed Sensor Networks; 8/7/2025, Vol. 2025, p1-24, 24p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
An: 187188411
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  Data: An Efficient Mutual Authentication and Fractional Lyrebird Optimization With Deep Learning–Based SIP‐Based DRDoS Attack Detection.
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Distributed+Sensor+Networks%22">International Journal of Distributed Sensor Networks</searchLink>; 8/7/2025, Vol. 2025, p1-24, 24p
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      – Type: doi
        Value: 10.1155/dsn/8828092
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      – Code: eng
        Text: English
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        PageCount: 24
        StartPage: 1
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      – TitleFull: An Efficient Mutual Authentication and Fractional Lyrebird Optimization With Deep Learning–Based SIP‐Based DRDoS Attack Detection.
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            NameFull: Sreenivasulu, V.
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            NameFull: Ravikumar, C. V.
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              Text: 8/7/2025
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              Y: 2025
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              Value: 2025
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            – TitleFull: International Journal of Distributed Sensor Networks
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