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About Sentinel Protocol
Introduction to Sentinel Protocol
Sentinel Protocol (UPP) coin aims to overcome the limitations of decentralization within the cryptocurrency technology field and establish a secure and impervious environment. By integrating cryptographic functions and AI-driven threat analysis algorithms, this project leverages the power of decentralization and collective intelligence to create an innovative and safe platform.
Key Features of Sentinel Protocol
Sentinel Protocol, also referred to as the Intelligent Security Platform for Blockchain (SIPB), offers a range of vital security features:
Sentinel Protocol's Threat Database
The Threat Database (TRDB) addresses two major cybersecurity concerns. Firstly, it eliminates the vulnerability of storing threat information in a centralized location, which can be manipulated and exploited. The traditional client-server model of the Internet is prone to attacks, such as the Sybil attack that compromises the server and compromises the service. Secondly, it tackles the lack of collaboration and shared knowledge among IT security companies. By utilizing collective intelligence, TRDB efficiently gathers data on hackers, malicious links, phishing addresses, virus software, and more. Security experts maintain the database for accuracy, but regular users can also contribute through automatic and manual reporting. TRDB is accessible through an API, providing individuals and organizations with access to valuable information.
Sentinel Protocol's Machine Learning Wallet
The S-Wallet operates similarly to antivirus software, but with a vital distinction. Instead of relying on centralized servers for updates, S-Wallet utilizes machine learning and analyzes threats, trends, and historical data to proactively respond to unknown attacks. This eliminates the need for regular updates and enhances security. S-Wallet connects to TRDB to offer essential security services, including filtering crypto addresses and URLs, data analysis, and fraud risk identification. The Fraud Detection System (FDS), powered by machine learning, operates across all distributed ledgers and identifies potentially fraudulent transactions, preventing further harm.
Sentinel Protocol's Malware Analysis Program
The D-Sandbox serves as a security mechanism that runs unverified programs and code on a separate virtual machine, minimizing the risk to the entire system or server. This feature utilizes collective intelligence analysis and delivers two significant benefits. Firstly, it offers economic advantages by ensuring infinite scalability on distributed systems, only limited by the potential of virtual machines. Secondly, D-Sandbox not only addresses the loss of computing power in the Proof-of-Work (PoW) algorithm but also strengthens the security ecosystem. The computing power of Sentinel Protocol network nodes can be utilized for additional malware analysis. This decentralized approach optimizes resource allocation and empowers individual users to contribute to the overall security of the ecosystem by using D-Sandbox through a virtual machine.