“Lightweight” security algorithm for 4G/5G networks | Research

Background

As newer fourth generation (4G) wireless telecommunication systems are introduced, such as “LTE” (Long Term Evolution) and IEEE 802.16m (i.e., Wi-MAX), more robust security algorithms are required to comply with the associated 3GPP security standards. Typically the implementation of higher security cryptography methods are computationally more complex and thus have a negative impact on bandwidth efficiency, throughput and processing efficiency, storage, and power consumption, due to the complicated architecture.

Description of the invention

University of Waterloo researchers associated with the world renowned Communications Security Lab have developed a new and “lightweight” stream cipher, referred to as “WG-16”, that is targeted for resource-constrained mobile platforms, such as smart phones. The WG-16 stream cipher is based on the well-known Welch-Gong (WG) transformation, which has mathematically proved randomness properties such as ideal two-level autocorrelation, balance, long period, ideal tuple distribution, and high and exact linear complexity. These randomness properties uniquely overcome the disadvantages of state-of-the art cryptography approaches and thus significantly enhance the security confidence. Equally important, the WG-16 stream cipher complies with the existing 3GPP security standards.

The initial development of the WG-16 stream cipher has been focused on achieving the unique randomness properties. More recent development efforts have been focussed on optimizing the software and hardware implementations on various low-power and low-cost embedded platforms. Moreover, a suite of security protocols based on the WG-16 stream cipher is being developed and analyzed, which will be seamlessly integrated into the communication architecture of the 4G networks.

Advantages

Only stream cipher method with mathematically proved randomness, thus guaranteeing security, and compliant with 3GPP security standard
Suitable for both hardware and software platforms
Low power consumption on resource-constrained devices