Wireless networks rely on the interplay between privacy and security, addressing data protection, physical security, and internal operations. Traditional privacy algorithms, such as l-diversity and k-anonymity, often struggle to scale effectively. To tackle this issue, a new protocol utilizing machine learning and blockchain technology is proposed, focusing on efficient attribute-based privacy while enhancing overall network Quality of Service.