Multi-Dimensional Traffic Classification
Our superior Traffic Classification is based on Dynamic Actionable Recognition Technology (DART) which employs multiple inspection methods to identify traffic according to Layer-7 application, user, device, access, video and contextual attributes. From deep packet inspection to heuristic analysis of IP flow behavior, Allot’s synergy of inspection methods results in highly granular and accurate recognition even at maximum speeds and peak loads.
Encrypted Traffic Classification
The traffic encryption that is widely used by Internet services and data privacy applications poses a serious challenge to traffic visibility in service provider and enterprise networks. Encryption guarantees the security and privacy of the user by concealing the data flow and preventing its identification. For example, P2P and VoIP services such as BitTorrent and Skype, obfuscate their protocol structure to avoid detection, traffic shaping (i.e., throttling), or metering. Likewise, many OTT applications use SSL to encrypt communications and hide user information.