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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 ...
A Survey of Deep Learning Solutions for Anomaly Detection in Surveillance Videos
(Asian Online Journals, 2021-10)
Deep learning has proven to be a landmark computing approach to the computer vision domain. Hence, it has been widely applied to solve complex cognitive tasks like the detection of anomalies in surveillance videos. Anomaly ...
Research Methods in Machine Learning: A Content Analysis
(2021-03)
Research methods in machine learning play a pivotal role since the accuracy and reliability of the results are influenced by the research methods used. The main aims of this paper were to explore current research methods ...
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, ...
Detection of Visual Similarity Snooping Attacks in Emails using an Extended Client Based Technique
(2021-04)
This paper provides an Extended Client Based Technique (ECBT) that performs classification on emails using the Bayessian classifier that attain in-depth defense by performing textual analysis on email messages and attachment ...
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 ...
Internet of Things Based Model For Identifying Pediatric Emergency Cases
(2021-08)
Pediatric emergency cases need rapid systems that measure vital body parameters data, analyze and categorize emergency cases for precise action. Current systems use manual examination resulting in delayed medication, death, ...