Research on English Classroom Data Security Protection Technology Based on Intelligent Algorithm

Data security has appeared as a vital issue in the digital age, affecting each industry, including education. Technological integration in English classrooms has enhanced instruction and learning possibilities for both teachers and students. Information that must be protected from possible hazards, as well as cyber-attacks, unlawful access, and data breaches, includes student records, academic evaluations, personal information, and communication data. The research’s purpose is to increase an intelligent algorithm-based data security protection system for English classrooms. Security and privacy issues make many organizations uncertain about using cloud-based technologies. This research attempts to address these issues by evaluating the way that algorithms for cryptography protect data from cloud-based English classrooms. An innovative Elliptic Curve Cryptography-driven Intelligent Battle Royale-tuned Malleable SVM (ECC-IBR-MSVM) is recommended to recognize malicious activities, such as unauthorized access attempts to educational content, and enhance security. English classrooms exploit the Elliptic Curve Cryptography (ECC) technique for data encryption due to its reliability and competence in cloud environments. The Intelligent Battle Royale optimization (IBR) algorithm is used to optimize and choose the features from the data. A Malleable Support Vector Machine (MSVM) can be employed to discover malicious activities and improve the security of educational content. The system used educational content repository data. This technique integrates optimized key generation during ECC-IBR to reduce execution time ensuring that only authorized users’ access security level data. The ECC-IBR-MSVM model has a 95% F1 score, 98% accuracy, 97% precision, and 96% recall. The findings show that the suggested approach increases the efficacy of encryption and outperforms all other approaches when used in a security scenario.