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Original Article
Development of Opaline Attachment Defence System for Proactive Detection and Sanitization of Malicious Email Files
C. Magishashini1
S. Prabu2
P. Ravivarma3
A. Akash4
1 Assistant Professor, Department of Information Technology, PSV College of Engineering and Technology, Krishnagiri, Tamil Nadu, India. 2 3 4 UG Scholars, Department of Information Technology, PSV College of Engineering and Technology, Krishnagiri, Tamil Nadu, India.
Published Online: January-April 2026
Pages: 350-354
Cite this article
No DOIReferences
1. L. Gallo, D. Gentile, S. Ruggiero, A. Botta and G. Ventre, "The human factor in phishing: Collecting and analyzing user behavior when
reading emails", Comput. Secur., vol. 139, Apr. 2024.
2. M. A. Bouke, A. Abdullah, M. T. Abdullah, S. A. Zaid, H. E. Atigh and S. H. Alshatebi, "A lightweight machine learning-based email spam
detection model using word frequency pattern", J. Inf. Technol. Comput., vol. 4, no. 1, pp. 15-28, Jun. 2023.
3. M. Salb, L. Jovanovic, M. Živković, E. Tuba, A. Elsadai and N. Bačanin, "Training logistic regression model by enhanced moth flame
optimizer for spam email classification", Proc. 5th Comput. Netw. Inventive Commun. Technol. (ICCNCT), pp. 753-768, Oct. 2022.
4. N. H. Marza, M. E. Manaa and H. A. Lafta, "Classification of spam emails using deep learning", Proc. 1st Babylon Int. Conf. Inf. Technol.
Sci. (BICITS), pp. 63-68, Apr. 2021.
5. O. E. Taylor and P. S. Ezekiel, "A model to detect spam email using support vector classifier and random forest classifier", Int. J. Comput.
Sci. Math. Theory, vol. 6, no. 1, pp. 1-11, 2020.
reading emails", Comput. Secur., vol. 139, Apr. 2024.
2. M. A. Bouke, A. Abdullah, M. T. Abdullah, S. A. Zaid, H. E. Atigh and S. H. Alshatebi, "A lightweight machine learning-based email spam
detection model using word frequency pattern", J. Inf. Technol. Comput., vol. 4, no. 1, pp. 15-28, Jun. 2023.
3. M. Salb, L. Jovanovic, M. Živković, E. Tuba, A. Elsadai and N. Bačanin, "Training logistic regression model by enhanced moth flame
optimizer for spam email classification", Proc. 5th Comput. Netw. Inventive Commun. Technol. (ICCNCT), pp. 753-768, Oct. 2022.
4. N. H. Marza, M. E. Manaa and H. A. Lafta, "Classification of spam emails using deep learning", Proc. 1st Babylon Int. Conf. Inf. Technol.
Sci. (BICITS), pp. 63-68, Apr. 2021.
5. O. E. Taylor and P. S. Ezekiel, "A model to detect spam email using support vector classifier and random forest classifier", Int. J. Comput.
Sci. Math. Theory, vol. 6, no. 1, pp. 1-11, 2020.
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