In a rapidly evolving digital landscape, the deployment of IPv6 networks has become crucial to support the growing number of connected devices. With the exhaustion of IPv4 addresses, the transition to IPv6 offers a vast pool of unique IP addresses, ensuring improved connectivity and security. However, the adoption of IPv6 also brings new challenges, particularly in addressing security vulnerabilities and conducting efficient address scanning.
To enhance the privacy of users’ IPv6 addresses and address security issues, an innovative IPv6 address fast scanning method based on local domain name association, named FScan6, has been proposed. This method combines active scanning and passive listening techniques to detect on-link IPv6 addresses efficiently. By leveraging association information specific to different operating systems, FScan6 aims to achieve comprehensive scanning results while minimizing the impact on network performance.
The experimental results demonstrate the effectiveness of FScan6 in scanning IPv6 addresses across various OS versions. FScan6 outperforms existing scanning tools in terms of OS coverage, completeness of scanning results, continuous scanning capability, and scanning stability. Despite slightly slower scanning speed due to multiple stages of packet transmission, FScan6 offers superior performance in detecting IPv6 addresses with minimal impact on network performance.
Moving forward, future research aims to optimize the packet transmission process using the Data Plane Development Kit to enhance scanning efficiency. Additionally, stringent privacy protection measures will be implemented to address ethical concerns associated with data privacy and potential misuse of scanning results. Through continuous innovation and optimization, FScan6 offers a robust solution for IPv6 address scanning in dual-stack network environments, supporting network security and optimization efforts.
