TY - EJOU AU - Saeed, Rashid A. AU - Saeed, Mamoon M. AU - Mokhtar, Rania A. AU - Alhumyani, Hesham AU - Abdel-Khalek, S. TI - Pseudonym Mutable Based Privacy for 5G User Identity T2 - Computer Systems Science and Engineering PY - 2021 VL - 39 IS - 1 SN - AB - Privacy, identity preserving and integrity have become key problems for telecommunication standards. Significant privacy threats are expected in 5G networks considering the large number of devices that will be deployed. As Internet of Things (IoT) and long-term evolution for machine type (LTE-m) are growing very fast with massive data traffic the risk of privacy attacks will be greatly increase. For all the above issues standards’ bodies should ensure users’ identity and privacy in order to gain the trust of service providers and industries. Against such threats, 5G specifications require a rigid and robust privacy procedure. Many research studies have addressed user privacy in 5G networks. This paper proposes a method to enhance user identity privacy in 5G systems through a scheme to protect the international mobile subscriber identity (IMSI) using a mutable mobile subscriber identity (MMSI) that changes randomly and avoids the exchange of IMSIs. It maintains authentication and key agreement (AKA) structure compatibility with previous mobile generations and improves user equipment (UE) synchronization with home networks. The proposed algorithm adds no computation overhead to UE or the network except a small amount in the home subscriber server (HSS). The proposed pseudonym mutable uses the XOR function to send the MMSI from the HSS to the UE which is reducing the encryption overhead significantly. The proposed solution was verified by ProVerif. KW - 5G; MMSI; IMSI; AKA; privacy; user identity DO - 10.32604/csse.2021.015593