
handle: 10220/48878 , 10356/106015
The wireless technology has revolutionized and had a significant impact on every aspect of people's life. Confidential information, financial transactions, and sensitive conversations are frequent via the wireless network and securing all these data are of the utmost importance. In this paper, we discuss the major weaknesses of the long-term evolution (LTE) authentication process and propose a new approach-the hybrid evolved packet system (HEPS) protocol to address the vulnerabilities. The proposed protocol has been verified logically, using Burrows-Abadi-Needham logic, and systematically, using the automated validation of internet security protocol and application tool. The HEPS protocol will optimize the performance of the LTE authentication process and fundamentally solve the security issue of the process.
hybrid evolved packet system, Hybrid Evolved Packet System, 004, TK1-9971, Burrows-Abadi-Needham logic, :Engineering::Electrical and electronic engineering [DRNTU], automated validation of Internet security protocol, Long Term Evolution, Electrical engineering. Electronics. Nuclear engineering, application tool, DRNTU::Engineering::Electrical and electronic engineering, Long term evolution
hybrid evolved packet system, Hybrid Evolved Packet System, 004, TK1-9971, Burrows-Abadi-Needham logic, :Engineering::Electrical and electronic engineering [DRNTU], automated validation of Internet security protocol, Long Term Evolution, Electrical engineering. Electronics. Nuclear engineering, application tool, DRNTU::Engineering::Electrical and electronic engineering, Long term evolution
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 11 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
