Author of the publication

Attacks and Anomaly Detection in IoT Network Using Machine Learning.

, , and . HCI (38), volume 1420 of Communications in Computer and Information Science, page 465-472. Springer, (2021)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Enhance Deepfake Video Detection Through Optical Flow Algorithms-Based CNN., and . HCI (62), volume 2120 of Communications in Computer and Information Science, page 14-22. Springer, (2024)Data Extraction Based on Web Scrapy., , , , , , and . IBICA, volume 1372 of Advances in Intelligent Systems and Computing, page 506-514. Springer, (2020)On the Comparative Study of Prediction Accuracy for Credit Card Fraud Detection wWith Imbalanced Classifications., , and . SpringSim, page 1-12. IEEE, (2020)Efficiency of Federated Learning and Blockchain in Preserving Privacy and Enhancing the Performance of Credit Card Fraud Detection (CCFD) Systems., , , and . Future Internet, 16 (6): 196 (June 2024)Attacks and Anomaly Detection in IoT Network Using Machine Learning., , and . HCI (38), volume 1420 of Communications in Computer and Information Science, page 465-472. Springer, (2021)A Hybrid Deep Learning Architecture for Misinformation Detection on Social Media., , , and . IRI, page 199-204. IEEE, (2023)Assessing User's Credibility to Enhance Deep Learning-Based Misinformation Detection on Social Media., , , and . GLOBECOM, page 3197-3202. IEEE, (2023)Comparison of Parental Control Tools for Blocking Advertisements on a Home Network., , , , , and . SoCPaR, volume 1383 of Advances in Intelligent Systems and Computing, page 1027-1037. Springer, (2020)Analysis of Cardholder Spending Behavior and Transaction Authentication to Enhance Credit Card Fraud Detection., , , , and . ICMLA, page 1144-1149. IEEE, (2023)An Ensemble-Based Machine Learning for Predicting Fraud of Credit Card Transactions., , , and . SAI (2), volume 507 of Lecture Notes in Networks and Systems, page 214-229. Springer, (2022)