SKY SHIELD A SKETCH-BASED DEFENSE SYSTEM AGAINST APPLICATION LAYER DDOS ATTACK

Abstract: The rapid growth of digital technologies, cloud computing, online learning platforms, and decentralized communication systems has increased the demand for secure academic credential management and intelligent cybersecurity solutions. Traditional credential verification systems mainly rely on centralized databases, which are vulnerable to data tampering, certificate forgery, unauthorized access, privacy breaches, and cyber attacks. To overcome these limitations, this paper proposes an AI-powered Blockchain Academic Validation Engine (BAVE-Chain) integrated with decentralized storage and intelligent cyber attack detection mechanisms.

The proposed system combines blockchain technology, smart contracts, InterPlanetary File System (IPFS), machine learning algorithms, and real-time monitoring techniques to provide secure credential verification and advanced cybersecurity protection. Blockchain technology ensures tamper-resistant storage of academic records and verification transactions, while IPFS provides decentralized and secure storage of certificates and supporting documents. Smart contracts automate verification and approval processes, improving transparency and reducing manual intervention.

The system also integrates machine learning algorithms such as Random Forest, Support Vector Machine (SVM), and XGBoost for analyzing network traffic patterns and detecting malicious activities in real time. The proposed framework provides functionalities including student registration, certificate generation, decentralized credential storage, blockchain verification, traffic monitoring, alert generation, and dashboard visualization through Streamlit-based interfaces.

Experimental analysis and system testing demonstrate that the proposed framework effectively improves credential security, verification transparency, decentralized data management, and cyber attack detection accuracy. The integration of blockchain technology, artificial intelligence, and decentralized storage significantly reduces the risks of credential forgery, unauthorized access, and malicious network activities. Overall, the proposed BAVE-Chain framework offers a secure, scalable, intelligent, and reliable solution for modern academic credential validation and cybersecurity applications.

Keywords: Blockchain, Academic Credential Verification, BAVE-Chain, Smart Contracts, IPFS, Machine Learning, Cyber Attack Detection, Artificial Intelligence, Decentralized Storage, Network Security, Credential Validation, Random Forest, SVM, XGBoost, Cybersecurity.