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Shrawan Kumar Trivedi

Biographic Data

ID6197391
NAMEShrawan Kumar Trivedi
GIVEN NAMESShrawan Kumar
FAMILY NAMETrivedi
SIGNATURETRIVEDI S K
AFFILIATIONSIndian Institute of Technology Dhanbad
ORCID0000-0001-7504-556X
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS1
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2026
H-INDEX1
  • The evolving landscape of malware detection

    Ankit Pachouri, Shrawan Kumar Trivedi et al.•ARTICLE•Global Knowledge, Memory and…•2026

    Purpose The purpose of this study is the rapid evolution of malware encompassing viruses, worms, ransomware and spyware, which poses an escalating threat to global cybersecurity, necessitating the development of advanced detection techniques. Traditional signature-based methods have become increasingly ineffective against the sophisticated tactics used by polymorphic malware. Design/methodology/approach This study uses machine learning techniques…

  • A study on credit scoring modeling with different feature selection and machine learning approaches

    Open Access•Shrawan Kumar Trivedi•ARTICLE•Technology in Society•2020•Cited by: 1•References: 30

  • A study on credit scoring modeling with different feature selection and machine learning approaches

    Open Access•Shrawan Kumar Trivedi•ARTICLE•Technology in Society•2020•Cited by: 1•References: 30

  • A study on credit scoring modeling with different feature selection and machine learning approaches

    Open Access•Shrawan Kumar Trivedi•ARTICLE•Technology in Society•2020•Cited by: 1•References: 30

  • The evolving landscape of malware detection

    Ankit Pachouri, Shrawan Kumar Trivedi et al.•ARTICLE•Global Knowledge, Memory and…•2026

    Purpose The purpose of this study is the rapid evolution of malware encompassing viruses, worms, ransomware and spyware, which poses an escalating threat to global cybersecurity, necessitating the development of advanced detection techniques. Traditional signature-based methods have become increasingly ineffective against the sophisticated tactics used by polymorphic malware. Design/methodology/approach This study uses machine learning techniques…

Advanced Malware Detection Techniques (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence in Healthcare (1 work) · Classifier (UML (1 work) · Computer Science (1 work) · Cybercrime and Law Enforcement Studies (1 work) · Data mining (1 work) · Decision tree (1 work) · Feature (linguistics (1 work) · Feature selection (1 work)

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