Polymorphism and consistency: Complex network based on execution trace of system calls in Linux kernels

Author:

Han Lihong1,Zhou Qingguo1,Zhang Juheng2,Yang Xuhui1,Zhou Rui1,Tang Jianxin3

Affiliation:

1. School of Information Science and Engineering, Lanzhou University, Lanzhou, Gansu 730000, P. R. China

2. Lanzhou University of Finance and Economics, Lanzhou, China, 730020

3. School of Computer and Communication, Lanzhou University of Technology, Lanzhou, Gansu 730050, P. R. China

Abstract

Linux operating system (LOS) represents one of the most complex human-made systems, and it acts as an important function between software and hardware. In recent years, a large number of related works treat Linux operating system as a complex network and explore some of the unique characteristics of the network. However, there is little research on the execution process of LOS in terms of networks. In this paper, the run-time behaviors of execution process are traced by system calls of LOS kernel, and the run-time behaviors networks (RTBNs) are constructed, in which the nodes of RTBN represent the functions, and the edges of RTBN represent the function call relations. On this basis, the statistical characteristics of the RTBNs are investigated, and some features of the RTBNs are revealed. The result shows that some of the network characteristics remain relatively stable without obvious changes, showing the characteristics of consistency. However, some of the network characteristics tend to be random and uncertain, showing the feature of polymorphism.

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Ministry of Education - China Mobile Research Foundation

Major National Project of High Resolution Earth Observation System

State Grid Corporation Science and Technology Project

New Century Excellent Talents in University

International Cooperation and Exchange Program

Strategic Priority Research Program of the Chinese Academy of Sciences

Publisher

World Scientific Pub Co Pte Lt

Subject

Computational Theory and Mathematics,Computer Science Applications,General Physics and Astronomy,Mathematical Physics,Statistical and Nonlinear Physics

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. LETRNG—A Lightweight and Efficient True Random Number Generator for GNU/Linux Systems;Tsinghua Science and Technology;2023-04

2. TwinDroid;Proceedings of the 19th International Conference on Mining Software Repositories;2022-05-23

3. Identifying Top-k Influential Nodes Based on Discrete Particle Swarm Optimization With Local Neighborhood Degree Centrality;IEEE Access;2021

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