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      A performance overview of machine learning-based defense strategies for advanced persistent threats in industrial control systems

      Author(s): , , , , ,
      Publication date Created:
      Publication date (Print):
      Journal: Computers & Security
      Publisher: Elsevier BV

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          A deep Recurrent Neural Network based approach for Internet of Things malware threat hunting

          Kim-Kwang Choo, Ali Dehghantanha, Hamed HaddadPajouh … (2018)
          Article 0 comments Cited 66 times – based on 0 reviews     Review now
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            Industrial Control Systems: Cyberattack trends and countermeasures

            Tejasvi Alladi, Vinay Chamola, Sherali Zeadally (2020)
            Article 0 comments Cited 25 times – based on 0 reviews     Review now
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              Detection of advanced persistent threat using machine-learning correlation analysis

              Václav Přenosil, Robert W Hegarty, Khaled M. Rabie … (2018)
              Article 0 comments Cited 24 times – based on 0 reviews     Review now
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                Author and article information

                Contributors
                Hafeez Ur Rehman Siddiqui: (View ORCID Profile)
                Imran Ashraf: (View ORCID Profile)
                Journal
                Title: Computers & Security
                Abbreviated Title: Computers & Security
                Publisher: Elsevier BV
                ISSN (Print): 01674048
                Publication date Created: November 2023
                Publication date (Print): November 2023
                Volume: 134
                Page: 103445
                Article
                DOI: 10.1016/j.cose.2023.103445
                SO-VID: e27f44c5-d881-453c-a4c2-7c3c4c9f53f6
                Copyright © © 2023
                License:

                https://www.elsevier.com/tdm/userlicense/1.0/

                https://doi.org/10.15223/policy-017

                https://doi.org/10.15223/policy-037

                https://doi.org/10.15223/policy-012

                https://doi.org/10.15223/policy-029

                https://doi.org/10.15223/policy-004

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