Application of the Catboost Classifier for the Detection of Android Ransomware
Keywords:
Conventional Antivirus, Sophisticated Intrusion Detection Systems (IDS), Leveraging Machine Learning, Ransomware Attacks, Employers Accessing
Abstract
Android ransomware attacks are becoming more common, threatening user data and privacy. Conventional antivirus systems struggle to identify these assaults, especially new or undiscovered types, stressing the need for more advanced IDS. Our study uses machine learning to create an Android IDS that can identify ransomware and other threats. The proposed IDS improves Android device security by detecting advanced threats. By using machine learning methods like the CatBoostClassifier, the IDS can adapt to changing ransomware threats and scan network data for malicious patterns. To prevent developing ransomware assaults and secure user data and privacy, this proactive strategy is essential. The method requires gathering and pre-processing Android device network traffic data, selecting ransomware detection features, and training the machine learning model. To ensure ransomware detection, the IDS is assessed using accuracy and false positive rate. This IDS significantly improves Android device security and ransomware protection. The IDS can protect Android user data and privacy by improving ransomware detection and mitigation.
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D. K. Sharma, B. Singh, M. Anam, R. Regin, D. Athikesavan, and M. Kalyan Chakravarthi, “Applications of two separate methods to deal with a small dataset and a high risk of generalization,” in 2021 2nd International Conference on Smart Electronics and Communication (ICOSEC), 2021.
D. K. Sharma, B. Singh, M. Anam, K. O. Villalba-Condori, A. K. Gupta, and G. K. Ali, “Slotting learning rate in deep neural networks to build stronger models,” in 2021 2nd International Conference on Smart Electronics and Communication (ICOSEC), 2021.
K. Kaliyaperumal, A. Rahim, D. K. Sharma, R. Regin, S. Vashisht, and K. Phasinam, “Rainfall prediction using deep mining strategy for detection,” in 2021 2nd International Conference on Smart Electronics and Communication (ICOSEC), 2021.
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P. P. Dwivedi and D. K. Sharma, “Application of Shannon entropy and CoCoSo methods in selection of the most appropriate engineering sustainability components,” Cleaner Materials, vol. 5, no. 100118, p. 100118, 2022.
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P. Sindhuja, A. Kousalya, N. R. R. Paul, B. Pant, P. Kumar, and D. K. Sharma, “A Novel Technique for Ensembled Learning based on Convolution Neural Network,” in 2022 International Conference on Edge Computing and Applications (ICECAA), IEEE, 2022, pp. 1087–1091.
A. R. B. M. Saleh, S. Venkatasubramanian, N. R. R. Paul, F. I. Maulana, F. Effendy, and D. K. Sharma, “Real-time monitoring system in IoT for achieving sustainability in the agricultural field,” in 2022 International Conference on Edge Computing and Applications (ICECAA), 2022.
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C. Goswami, A. Das, K. I. Ogaili, V. K. Verma, V. Singh, and D. K. Sharma, “Device to device communication in 5G network using device-centric resource allocation algorithm,” in 2022 4th International Conference on Inventive Research in Computing Applications (ICIRCA), 2022.
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S.G.A. Hasan, G.S. Kumar, and S.S. Fatima, "Finite Element Analysis and Fatigue Analysis of Spur Gear Under Random Loading," International Journal of Engineering Sciences & Research Technology, vol. 4, no. 7, pp. 523-534, 2015.
S.G.A. Hasan, S.M. Amoodi, and G.S. Kumar, "Starring of Hydrogen as a Compression Ignition Engine Fuel: A Review," International Journal of Engineering and Management Research (IJEMR), vol. 5, no. 3, pp.738-743, 2015.
S.G.A. Hasan, S.M. Amoodi, and G.S. Kumar, "Under Floor Air Distribution for Better Indoor Air Quality," International Journal of Engineering and Management Research (IJEMR), vol. 5, no. 3, pp.744-755, 2015.
S.G.A. Hasan, S.S. Fatima, and G.S. Kumar, "Design of a VRF Air Conditioning System with Energy Conservation on Commercial Building," International Journal of Engineering Sciences & Research Technology, vol. 4, no. 7, pp. 535-549, 2015.
S.M. Amoodi, G.S. Kumar, and S.G.A. Hasan, "Design of II Stage Evaporative Cooling System for Residential," International Journal of Engineering and Management Research (IJEMR), vol. 5, no. 3, pp. 810-815, 2015.
T. Wahidi, S.A.P. Quadri, S.G.A. Hasan, M.G. Sundkey, and P.R. Kumar, "Experimental investigation on performance, emission and combustion analysis of CNG-Diesel enrichment with varying injection operating pressures," IOSR Journal of Mechanical And Civil Engineering, vol. 12,no.2, pp. 23-29, 2015.
K.S. Goud, K.U. Reddy, P.B. Kumar, and S.G.A. Hasan, "Magnetic Iron Oxide Nanoparticles: Various Preparation Methods and Properties," ," IJSRSET, vol. 3, no. 2, pp. 535-538, 2017.
M.S. Reddy, R. Kumaraswami, B.K. Reddy, B.A. Sai, and S.G.A. Hasan, "Extraction of Water from Ambient Air by Using Thermoelectric Modules," IJSRSET, vol. 3, no. 2, pp. 733-737, 2017.
P.C. Kumar, S. Ramakrishna, S.G.A. Hasan, and C. Rakesh, "Find the Performance of Dual Fuel Engine Followed by Waste Cooking Oil Blends with Acetylene," International Journal of Innovative Technology and Exploring Engineering, vol. 9, no. 2, pp. 127-131, 2019.
Senapati and B. S. Rawal, "Quantum communication with RLP quantum resistant cryptography in industrial manufacturing," Cyber Security and Applications, vol. 100019, 2023.
Published
2024-11-04
How to Cite
Rajest, S. S., & R. Regin. (2024). Application of the Catboost Classifier for the Detection of Android Ransomware. CENTRAL ASIAN JOURNAL OF MATHEMATICAL THEORY AND COMPUTER SCIENCES, 5(5), 476-486. Retrieved from https://cajmtcs.casjournal.org/index.php/CAJMTCS/article/view/683
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Articles
