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FMHADP:Design of an Efficient Pre-Forensic Layer for Mitigating Hybrid Attacks via Deep Learning Pattern Analysis

Meesala Sravani B Kiran Kumar M Rekha Sundari D Tejaswi

Journal of Harbin Institute of Technology(New Series)2024，Vol.31Issue(5)：P.55-67,13.

Journal of Harbin Institute of Technology(New Series)2024，Vol.31Issue(5)：P.55-67,13.DOI:10.11916/j.issn.1005-9113.2023098

FMHADP:Design of an Efficient Pre-Forensic Layer for Mitigating Hybrid Attacks via Deep Learning Pattern Analysis

Meesala Sravani ¹B Kiran Kumar ²M Rekha Sundari ²D Tejaswi²

作者信息

1. Department of Computer Science and Engineering,GMR Institute of Technology,Rajam 532127,Andhra Pradesh,India
2. Information Technology,Anil Neerukonda Institute of Technology&Science(Autonomous),Sangivalasa 531162,Bheemunipatnam,India
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摘要

关键词

digital replay attack perceptual hashing/content authentication/content identification/Differential Luminance Block Means(DLBM)/normalization shifts

分类

信息技术与安全科学

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Meesala Sravani,B Kiran Kumar,M Rekha Sundari,D Tejaswi..FMHADP:Design of an Efficient Pre-Forensic Layer for Mitigating Hybrid Attacks via Deep Learning Pattern Analysis[J].Journal of Harbin Institute of Technology(New Series),2024,31(5):P.55-67,13.

Journal of Harbin Institute of Technology(New Series)

ISSN：1005-9113

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