S. Abijah Roseline - researchr alias

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Viewing Publication 1 - 6 from 6

2021

An Efficient DenseNet-Based Deep Learning Model for Malware DetectionJ. Hemalatha, S. Abijah Roseline, Subbiah Geetha, Seifedine Nimer Kadry, Robertas Damasevicius. entropy, 23(3):344, 2021. [doi]

A comprehensive survey of tools and techniques mitigating computer and mobile malware attacksS. Abijah Roseline, S. Geetha 0001. cee, 92:107143, 2021. [doi]

2020

Intelligent Vision-Based Malware Detection and Classification Using Deep Random Forest ParadigmS. Abijah Roseline, S. Geetha 0001, Seifedine Kadry, Yunyoung Nam. access, 8:206303-206324, 2020. [doi]

2019

Vision-Based Malware Detection and Classification Using Lightweight Deep Learning ParadigmS. Abijah Roseline, G. Hari, S. Geetha, R. Krishnamurthy. cvip 2020: 62-73 [doi]

Towards Efficient Malware Detection and Classification using Multilayered Random Forest Ensemble TechniqueS. Abijah Roseline, A. D. Sasisri, S. Geetha 0001, C. Balasubramanian. iccst 2019: 1-6 [doi]

2018

Intelligent Malware Detection using Oblique Random Forest ParadigmS. Abijah Roseline, S. Geetha. icacci 2018: 330-336 [doi]

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