Titlebook: Artificial Intelligence for Cyber Security: Methods, Issues and Possible Horizons or Opportunities; Sanjay Misra,Amit Kumar Tyagi Book 202

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Machine Learning Algorithm for Cryptocurrencies Price Prediction,ey factors used are available price, close price, high price, low price, volume and market cap with the interdependencies amid some cryptocurrencies thus centers on measuring vital features that influence the trade’s unpredictability by applying the model to increase the effectiveness of the process

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,Metaheuristic Techniques in Attack and Defense Strategies for Cybersecurity: A?Systematic Review,zation in the detection of threats is based on the reduction of the features in the training stage. Metaheuristics play a key role in reducing these features. Our research concludes that researchers must reduce the training stage in order to decrease processing requirements and get closer to real ti

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Artificial Intelligence for Cyber Security: Methods, Issues and Possible Horizons or Opportunities

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Leila Jancovich,David Stevenson validated using incoming live network packets for Denial of Service (DoS) type of attack. The experimental results indicate that Na?ve Bayesian yields better accuracy of 88% when compared to the SVM model.

overbearing

Proactive Network Packet Classification Using Artificial Intelligence, validated using incoming live network packets for Denial of Service (DoS) type of attack. The experimental results indicate that Na?ve Bayesian yields better accuracy of 88% when compared to the SVM model.

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Book 2021al analytics tools), and an application-oriented approach that can be demonstrated with respect to data analytics using artificial intelligence to make systems stronger (i.e., impossible to breach). We can see many serious cyber breaches on Government databases or public profiles at online social ne

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