Intelligent Malware Detection using Oblique Random Forest Paradigm. - S. Abijah Roseline; S. Geetha 001 (ICACCI, 2018)

Vision-Based Malware Detection and Classification Using Lightweight Deep Learning Paradigm. - S. Abijah Roseline; G. Hari; S. Geetha 001; R. Krishnamurthy (CVIP (2), 2019)

Towards Efficient Malware Detection and Classification using Multilayered Random Forest Ensemble Technique. - S. Abijah Roseline; A. D. Sasisri; S. Geetha 001; C. Balasubramanian (ICCST, 2019)

Intelligent Vision-Based Malware Detection and Classification Using Deep Random Forest Paradigm. - S. Abijah Roseline; S. Geetha 001; Seifedine Nimer Kadry; Yunyoung Nam (IEEE Access, 2020)

A comprehensive survey of tools and techniques mitigating computer and mobile malware attacks. - S. Abijah Roseline; S. Geetha 001 (Comput. Electr. Eng., 2021)

An Efficient DenseNet-Based Deep Learning Model for Malware Detection. - J. Hemalatha; S. Abijah Roseline; Subbiah Geetha; Seifedine Nimer Kadry; Robertas Damasevicius (Entropy, 2021)

Radial basis function networks-based resource-aware offloading video analytics in mobile edge computing. - Jothi Prabha Appadurai; Prabaharan Sengodan; Natesan Venkateswaran; S. Abijah Roseline; B. Rama (Wirel. Networks, 2024)