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Items where Author is "Kazi, Mohamed"

Items where Author is "Kazi, Mohamed"

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binary classification algorithms decision tree algorithm deep learning detecting banking malware using binary classification algorithms feature selection machine learning manual feature selection random forest algorithm SVM algorithm Zeus banking malware Zeus malware variants
Number of items: 12.

binary classification algorithms

Kazi, Mohamed ORCID logoORCID: https://orcid.org/0000-0001-5105-3581, Woodhead, Steve and Gan, Diane ORCID logoORCID: https://orcid.org/0000-0002-0920-7572 (2022) An investigation to detect banking malware network communication traffic using machine learning techniques. Journal of Cybersecurity and Privacy, 3 (1). pp. 1-23. ISSN 2624-800X (Online) (doi:10.3390/jcp3010001)

decision tree algorithm

Kazi, Mohamed ORCID logoORCID: https://orcid.org/0000-0001-5105-3581, Woodhead, Steve and Gan, Diane ORCID logoORCID: https://orcid.org/0000-0002-0920-7572 (2020) Comparing and analysing binary classification algorithms when used to detect the Zeus malware. In: 2019 Sixth HCT Information Technology Trends (ITT). Ras Al Khaimah, United Arab Emirates, 20-21 Nov. 2019. Information Technology Trends (ITT) . Institute of Electrical and Electronics Engineers (IEEE), Piscataway, New Jersey, pp. 6-11. ISBN 978-1728150611; 978-1728150628 (doi:10.1109/ITT48889.2019.9075115)

deep learning

Kazi, Mohamed ORCID logoORCID: https://orcid.org/0000-0001-5105-3581, Woodhead, Steve and Gan, Diane ORCID logoORCID: https://orcid.org/0000-0002-0920-7572 (2022) An investigation to detect banking malware network communication traffic using machine learning techniques. Journal of Cybersecurity and Privacy, 3 (1). pp. 1-23. ISSN 2624-800X (Online) (doi:10.3390/jcp3010001)

detecting banking malware using binary classification algorithms

Kazi, Mohamed ORCID logoORCID: https://orcid.org/0000-0001-5105-3581, Woodhead, Steve and Gan, Diane ORCID logoORCID: https://orcid.org/0000-0002-0920-7572 (2020) Comparing and analysing binary classification algorithms when used to detect the Zeus malware. In: 2019 Sixth HCT Information Technology Trends (ITT). Ras Al Khaimah, United Arab Emirates, 20-21 Nov. 2019. Information Technology Trends (ITT) . Institute of Electrical and Electronics Engineers (IEEE), Piscataway, New Jersey, pp. 6-11. ISBN 978-1728150611; 978-1728150628 (doi:10.1109/ITT48889.2019.9075115)

feature selection

Kazi, Mohamed ORCID logoORCID: https://orcid.org/0000-0001-5105-3581, Woodhead, Steve and Gan, Diane ORCID logoORCID: https://orcid.org/0000-0002-0920-7572 (2022) An investigation to detect banking malware network communication traffic using machine learning techniques. Journal of Cybersecurity and Privacy, 3 (1). pp. 1-23. ISSN 2624-800X (Online) (doi:10.3390/jcp3010001)

machine learning

Kazi, Mohamed ORCID logoORCID: https://orcid.org/0000-0001-5105-3581, Woodhead, Steve and Gan, Diane ORCID logoORCID: https://orcid.org/0000-0002-0920-7572 (2022) An investigation to detect banking malware network communication traffic using machine learning techniques. Journal of Cybersecurity and Privacy, 3 (1). pp. 1-23. ISSN 2624-800X (Online) (doi:10.3390/jcp3010001)

manual feature selection

Kazi, Mohamed ORCID logoORCID: https://orcid.org/0000-0001-5105-3581, Woodhead, Steve and Gan, Diane ORCID logoORCID: https://orcid.org/0000-0002-0920-7572 (2020) Comparing and analysing binary classification algorithms when used to detect the Zeus malware. In: 2019 Sixth HCT Information Technology Trends (ITT). Ras Al Khaimah, United Arab Emirates, 20-21 Nov. 2019. Information Technology Trends (ITT) . Institute of Electrical and Electronics Engineers (IEEE), Piscataway, New Jersey, pp. 6-11. ISBN 978-1728150611; 978-1728150628 (doi:10.1109/ITT48889.2019.9075115)

random forest algorithm

Kazi, Mohamed ORCID logoORCID: https://orcid.org/0000-0001-5105-3581, Woodhead, Steve and Gan, Diane ORCID logoORCID: https://orcid.org/0000-0002-0920-7572 (2020) Comparing and analysing binary classification algorithms when used to detect the Zeus malware. In: 2019 Sixth HCT Information Technology Trends (ITT). Ras Al Khaimah, United Arab Emirates, 20-21 Nov. 2019. Information Technology Trends (ITT) . Institute of Electrical and Electronics Engineers (IEEE), Piscataway, New Jersey, pp. 6-11. ISBN 978-1728150611; 978-1728150628 (doi:10.1109/ITT48889.2019.9075115)

SVM algorithm

Kazi, Mohamed ORCID logoORCID: https://orcid.org/0000-0001-5105-3581, Woodhead, Steve and Gan, Diane ORCID logoORCID: https://orcid.org/0000-0002-0920-7572 (2020) Comparing and analysing binary classification algorithms when used to detect the Zeus malware. In: 2019 Sixth HCT Information Technology Trends (ITT). Ras Al Khaimah, United Arab Emirates, 20-21 Nov. 2019. Information Technology Trends (ITT) . Institute of Electrical and Electronics Engineers (IEEE), Piscataway, New Jersey, pp. 6-11. ISBN 978-1728150611; 978-1728150628 (doi:10.1109/ITT48889.2019.9075115)

Zeus banking malware

Kazi, Mohamed ORCID logoORCID: https://orcid.org/0000-0001-5105-3581, Woodhead, Steve and Gan, Diane ORCID logoORCID: https://orcid.org/0000-0002-0920-7572 (2022) An investigation to detect banking malware network communication traffic using machine learning techniques. Journal of Cybersecurity and Privacy, 3 (1). pp. 1-23. ISSN 2624-800X (Online) (doi:10.3390/jcp3010001)

Kazi, Mohamed ORCID logoORCID: https://orcid.org/0000-0001-5105-3581, Woodhead, Steve and Gan, Diane ORCID logoORCID: https://orcid.org/0000-0002-0920-7572 (2020) Comparing and analysing binary classification algorithms when used to detect the Zeus malware. In: 2019 Sixth HCT Information Technology Trends (ITT). Ras Al Khaimah, United Arab Emirates, 20-21 Nov. 2019. Information Technology Trends (ITT) . Institute of Electrical and Electronics Engineers (IEEE), Piscataway, New Jersey, pp. 6-11. ISBN 978-1728150611; 978-1728150628 (doi:10.1109/ITT48889.2019.9075115)

Zeus malware variants

Kazi, Mohamed ORCID logoORCID: https://orcid.org/0000-0001-5105-3581, Woodhead, Steve and Gan, Diane ORCID logoORCID: https://orcid.org/0000-0002-0920-7572 (2022) An investigation to detect banking malware network communication traffic using machine learning techniques. Journal of Cybersecurity and Privacy, 3 (1). pp. 1-23. ISSN 2624-800X (Online) (doi:10.3390/jcp3010001)

This list was generated on Sun Dec 22 14:00:41 2024 UTC.