WSEAS Transactions on Systems
Print ISSN: 1109-2777, E-ISSN: 2224-2678
Volume 24, 2025
A Novel Learning based Secured Data Evaluation Scheme using Cybersecurity Principles with Artificial Intelligence Logic
Authors: , , , , ,
Abstract: Due to the Internet of Things and the digitalization revolution, there is nowadays an overwhelming amount of cybersecurity information in the tech world. Dealing efficiently with cyber deviations and attacks is an emerging challenge to any cyber security industry all over the world. Traditional security solutions can no longer address today's security threats because of the rapid proliferation of various cyber-attacks and threats. Artificial intelligence understanding, especially machine learning technology can make a security system up to date by analyzing its security data so that the safety mechanism can be upgraded continuously and so that it can remain programmatic and automated. This study provides a comprehensive overview of existing machine-learning techniques inspired by the notion of AI. We explore its capabilities of advanced information analytics and management by deriving meaningful conclusions out of cyber data in Cybersecurity. The performance of the proposed method will be compared against that of a standard machine learning technique, Support Vector Machine (SVM), using cross-validation. This scheme is known as a Secured Learning based Data Evaluation Scheme (SLDES). Based on its analysis of past incidents and knowledge summaries from experts, the proposed AI approach SLDES (Shift Left Diverse Experiments and Simulations) would change or reform newly appearing sections as it retrieves recent events. Last but not least we present our research about the future of artificial intelligence in information security etc. Machine learning and its related approaches are being investigated and used in cyber defense, and the focus of the described section is to evaluate the current and
future uses of machine learning in cyber defense, for the scheme proposed the section presented the way to demonstrate how to effect the proposed scheme is and the result metrics are plotted in histogram form To derive such insights and information necessary for designing countermeasures for such attacks, even as stated in, a thorough data analysis is important. The main aim of this research is to establish that clients can develop a safe situation to protect their electronic data from intruders.
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Keywords: Novel Learning, Data Security, Data Evaluation, Cybersecurity, Artificial Intelligence, AI, SLDES, Machine Learning, Support Vector Machine, SVM
Pages: 455-465
DOI: 10.37394/23202.2025.24.40