Research on Random Number Prediction and Security Threats in Embedded Linux Systems

Linux is one of the most popular open source operating systems, which has the characteristics of small size, strong stability, high portability and wide support for hardware. It is widely used in key network equipment such as routers, switches, firewalls and various intelligent home appliances of Internet of things. By analyzing the kernel code of a specific version of Linux, researchers have discovered the kernel random number vulnerability of Linux system running on a certain type of device. The vulnerability greatly reduces the variable space of entropy source in the initialization process of random entropy pool in the system kernel. So as to realize the prediction of all the random numbers in the whole operation cycle of the system. The use of predictive random number methods can cause serious security problems to the critical services hosted in the system that use random numbers as related keys or authentication means.

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Publication Details

Published
2025-03-14
DOI
https://doi.org/10.1109/itoec63606.2025.10968765
Primary Topic
Advanced Malware Detection Techniques
Type
article
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article

Research on Random Number Prediction and Security Threats in Embedded Linux Systems

Jun He, Sheng Chen, Ziyu Li
Advanced Malware Detection Techniques
article

Research on Random Number Prediction and Security Threats in Embedded Linux Systems

Jun He, Sheng Chen, Ziyu Li
article en

Abstract

Linux is one of the most popular open source operating systems, which has the characteristics of small size, strong stability, high portability and wide support for hardware. It is widely used in key network equipment such as routers, switches, firewalls and various intelligent home appliances of Internet of things. By analyzing the kernel code of a specific version of Linux, researchers have discovered the kernel random number vulnerability of Linux system running on a certain type of device. The vulnerability greatly reduces the variable space of entropy source in the initialization process of random entropy pool in the system kernel. So as to realize the prediction of all the random numbers in the whole operation cycle of the system. The use of predictive random number methods can cause serious security problems to the critical services hosted in the system that use random numbers as related keys or authentication means.

National University of Defense Technology (CN)
Openalex Percentile: Top 91%
Advanced Malware Detection Techniques
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