{"title":"基于权限依赖图约简的快速用户实际权限推理框架","authors":"Wei Bai, Angxuan Cheng, Cailing Wang, Zhisong Pan","doi":"10.1049/ise2.12112","DOIUrl":null,"url":null,"abstract":"<p>It is a key point to find out the actual privileges of network users in network security risk assessment. The Privilege dependency graph (PDG) provides an effective way to reason the actual privileges of network users from their initial privileges. The existing User Actual Privilege reasoning method is time-consuming and not suitable for large-scale networks. This paper introduces a fast User Actual Privilege reasoning framework based on PDG reduction. The core idea is to reduce the size of the graph as much as possible before the actual privilege reasoning. Three different nodes merged scenarios are proposed and discussed, as well as the influences of different execution sequences and execution times. Networks of different sizes were simulated to validate the effectiveness and scalability of their method. The experimental results show that the proposed method can decrease the time of User Actual Privilege reasoning by over 25% in large-scale networks.</p>","PeriodicalId":50380,"journal":{"name":"IET Information Security","volume":"17 3","pages":"505-517"},"PeriodicalIF":1.3000,"publicationDate":"2023-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/ise2.12112","citationCount":"0","resultStr":"{\"title\":\"A fast user actual privilege reasoning framework based on privilege dependency graph reduction\",\"authors\":\"Wei Bai, Angxuan Cheng, Cailing Wang, Zhisong Pan\",\"doi\":\"10.1049/ise2.12112\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>It is a key point to find out the actual privileges of network users in network security risk assessment. The Privilege dependency graph (PDG) provides an effective way to reason the actual privileges of network users from their initial privileges. The existing User Actual Privilege reasoning method is time-consuming and not suitable for large-scale networks. This paper introduces a fast User Actual Privilege reasoning framework based on PDG reduction. The core idea is to reduce the size of the graph as much as possible before the actual privilege reasoning. Three different nodes merged scenarios are proposed and discussed, as well as the influences of different execution sequences and execution times. Networks of different sizes were simulated to validate the effectiveness and scalability of their method. The experimental results show that the proposed method can decrease the time of User Actual Privilege reasoning by over 25% in large-scale networks.</p>\",\"PeriodicalId\":50380,\"journal\":{\"name\":\"IET Information Security\",\"volume\":\"17 3\",\"pages\":\"505-517\"},\"PeriodicalIF\":1.3000,\"publicationDate\":\"2023-03-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1049/ise2.12112\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IET Information Security\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1049/ise2.12112\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IET Information Security","FirstCategoryId":"94","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1049/ise2.12112","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
A fast user actual privilege reasoning framework based on privilege dependency graph reduction
It is a key point to find out the actual privileges of network users in network security risk assessment. The Privilege dependency graph (PDG) provides an effective way to reason the actual privileges of network users from their initial privileges. The existing User Actual Privilege reasoning method is time-consuming and not suitable for large-scale networks. This paper introduces a fast User Actual Privilege reasoning framework based on PDG reduction. The core idea is to reduce the size of the graph as much as possible before the actual privilege reasoning. Three different nodes merged scenarios are proposed and discussed, as well as the influences of different execution sequences and execution times. Networks of different sizes were simulated to validate the effectiveness and scalability of their method. The experimental results show that the proposed method can decrease the time of User Actual Privilege reasoning by over 25% in large-scale networks.
期刊介绍:
IET Information Security publishes original research papers in the following areas of information security and cryptography. Submitting authors should specify clearly in their covering statement the area into which their paper falls.
Scope:
Access Control and Database Security
Ad-Hoc Network Aspects
Anonymity and E-Voting
Authentication
Block Ciphers and Hash Functions
Blockchain, Bitcoin (Technical aspects only)
Broadcast Encryption and Traitor Tracing
Combinatorial Aspects
Covert Channels and Information Flow
Critical Infrastructures
Cryptanalysis
Dependability
Digital Rights Management
Digital Signature Schemes
Digital Steganography
Economic Aspects of Information Security
Elliptic Curve Cryptography and Number Theory
Embedded Systems Aspects
Embedded Systems Security and Forensics
Financial Cryptography
Firewall Security
Formal Methods and Security Verification
Human Aspects
Information Warfare and Survivability
Intrusion Detection
Java and XML Security
Key Distribution
Key Management
Malware
Multi-Party Computation and Threshold Cryptography
Peer-to-peer Security
PKIs
Public-Key and Hybrid Encryption
Quantum Cryptography
Risks of using Computers
Robust Networks
Secret Sharing
Secure Electronic Commerce
Software Obfuscation
Stream Ciphers
Trust Models
Watermarking and Fingerprinting
Special Issues. Current Call for Papers:
Security on Mobile and IoT devices - https://digital-library.theiet.org/files/IET_IFS_SMID_CFP.pdf