| Autor: |
Kaarthi, P.S. Arun, Sathiyabama, S. |
| Zdroj: |
International Journal of Engineering Systems Modelling and Simulation; 2023, Vol. 14 Issue: 4 p214-224, 11p |
| Abstrakt: |
A huge collection of data is being produced for each second due to advance technology development and its innovation in the social media. Monitoring the system and network, securing lines and servers are coming to end by using various mechanism. The data accuracy has been increased by the K-nearest neighbour (KNN) classification. A deep learning technique which is a neural network is used for the detection of attacks being done by hackers or fraudulent users. The proposed model uses a programming language called Python which has packages of Scikit-learn, Tensorflow and Seaborn. We have also developed and found the accuracy rate gets increased by the deep learning model and so the attacks made on the social networks have been avoided as much as feasible. |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
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