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SSH-Brute Force Attack Detection Model based on Deep Learning
(2021-01)
The rising number of malicious threats on computer networks and Internet services owing to a large number of attacks makes the network security be at incessant risk. One of the predominant network attacks that poses ...
Developing Hybrid-Based Recommender System with Naïve Bayes Optimization to Increase Prediction Efficiency
(2021-03)
Commerce and entertainment world today have shifted to the digital platforms where customer preferences are suggested by recommender systems. Recommendations have been made using a variety of methods such as content-based, ...
Using Feature Selection Methods to Discover Common Users’ Preferences for Online Recommender Systems
(2021-01)
Recommender systems have taken over user’s choice to choose the items/services they want from online markets, where lots of merchandise is traded. Collaborative filtering-based recommender systems uses user opinions and ...