Tolly Verified: Huawei's iMaster NCE-Campus Stands Out with Unrivaled Efficacy in Identifying Campus Network Terminals

[Shenzhen, China, July 9, 2021] Huawei's iMaster NCE-Campus earned a much higher score than its counterparts in a recent test carried out by Tolly, an international authoritative test organization.

According to the statistics collected by a leading institution, the number of global Internet of Things (IoT) terminals reached up to 11 billion in 2019, and will increase to 25 billion by 2025, with an average annual growth rate of 15%. With the proliferation of IoT, enterprises' information and communications technology (ICT) applications are becoming IP-based and numerous terminals are attempting to access enterprise campus networks, making intelligent terminal management a must-have.

Before intelligently managing terminals, we need to identify them and also take the identification scope and precision into account. This is because high-precision terminal identification at scale can significantly simplify the subsequent terminal management operations. For example, we can configure network admission policies based on the terminal type, enabling terminals to automatically access the network and match the best suited control policies. Terminal statistics can also be collected in real time, making it possible to ensure network security by effectively and promptly isolating terminals with abnormal traffic.

We commissioned Tolly to independently test the capabilities of iMaster NCE-Campus in identifying campus network terminals. The test items include: known terminal identification (precision), unknown terminal identification (scope), and identification report customization.

• Known terminal identification: During the test, Tolly randomly selected 49 models of terminals (including IP phones, IP cameras, mobile terminals, network devices, and office devices) to blindly test and comprehensively score different vendors' capabilities in identifying terminals. Huawei's iMaster NCE-Campus correctly identified 98.0% of terminal types, 91.8% of terminal vendors, and 67.3% of terminal models. In contrast, its counterpart identified just 14.3% of terminal types, 53.1% of terminal vendors, and 4.1% of terminal models. Ultimately, Huawei's iMaster NCE-Campus scored as high as 84 points out of 100, far ahead of the counterpart (22 points). The question is how does Huawei's iMaster NCE-Campus achieve this? The answer lies in its unmatched technical strengths in terminal identification. To elaborate, it can accurately identify over 18,000 models of terminals via seven methods, and perform terminal policy control and exception isolation based on the identification results, thereby catering to most campus scenarios.
• Unknown terminal identification: Tolly engineers tested the extent to which the target systems automatically identify and handle unknown terminals, as well as their capabilities in automatically expanding the terminal identification fingerprint library. Drawing on Huawei's unique clustering identification and inference capabilities, Huawei's iMaster NCE-Campus can cluster unknown terminal types in seconds, after which administrators can easily mark the terminal types based on the clustering results. iMaster NCE-Campus can then automatically infer and identify terminals with marked types, and rapidly expand the terminal identification fingerprint library. All of this significantly improves the identification accuracy and efficiency of unknown terminals.
• Identification report customization: Huawei's iMaster NCE-Campus can collect and display terminal statistics from multiple dimensions, such as the terminal type, vendor, and operating system (OS), providing a wide range of capabilities for customizing terminal identification reports.

As verified by Tolly, Huawei's iMaster NCE-Campus delivers unrivaled capabilities in identifying campus network terminals, facilitating the intelligent management of massive terminals, terminal plug-and-play, and secure terminal access in seconds.

Find more about the tests in Tolly Test Report on Campus Network Terminal Identification.