지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한전자공학회 IEIE Transactions on Smart Processing & Computing IEIE Transactions on Smart Processing & Computing Vol.10 No.6
- 발행연도
- 2021.12
- 수록면
- 477 - 482 (6page)
- DOI
- 10.5573/IEIESPC.2021.10.6.477
이용수
초록· 키워드
오류제보하기
As software vulnerabilities have surged, efforts to discover them have increased. The syntactic and semantic information of a program is required to detect vulnerabilities. Each information can be represented as a graph, such as Abstract Syntax Tree and Program Dependency Graph. In this paper, the program representations were extracted using various static analysis tools, including Clang Static Analyzer, Joern, and SVF, and compared using Graph Neural Networks to select the appropriate representations for vulnerability detection in C/C++. From the comparison, PDG shows the best performance among the multiple representations. This result indicates a suitable program representation and a tool for vulnerability detection that can be utilized in research utilizing graph neural networks.
목차
Abstract
1. Introduction
2. Related Work
3. Experiments
4. Performance Evaluation
5. Conclusion
References
참고문헌 (17)
참고문헌 신청
Clang Static Analyzer., accessed on July, 2021. Article (CrossRef Link)
Flawfinder., accessed on July, 2021. Article (CrossRef Link)
Infer., accessed on July, 2021. Article (CrossRef Link)
National Vulnerability Database, American Information Technology Laboratory, accessed on July, 2021. Article (CrossRef Link)
Yamaguchi, F., Golde, N., Arp, D., and Rieck, K, “Modeling and discovering vulnerabilities with code property graphs.”, 2014 IEEE Symposium on Security and Privacy, IEEE, pp. 590-604, 2014. .Article (CrossRef Link)
Flawfinder., accessed on July, 2021. Article (CrossRef Link)
Infer., accessed on July, 2021. Article (CrossRef Link)
National Vulnerability Database, American Information Technology Laboratory, accessed on July, 2021. Article (CrossRef Link)
Yamaguchi, F., Golde, N., Arp, D., and Rieck, K, “Modeling and discovering vulnerabilities with code property graphs.”, 2014 IEEE Symposium on Security and Privacy, IEEE, pp. 590-604, 2014. .Article (CrossRef Link)
함께 읽어보면 좋을 논문
논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!
-
A study on enhancing security on the homepage by using Graph Neural Network
한국통신학회 학술대회논문집
2022 .11
-
Adversarial Vulnerability of Graph Convolutional Networks
한국통신학회 인공지능 학술대회 논문집
2024 .09
-
Graph Neural Network를 이용한 실내 도면 객체 분류
대한공간정보학회 학술대회
2020 .06
-
약물의 독성 예측을 위한 Graph Neural Networks 비교 평가 연구
한국정보과학회 학술발표논문집
2024 .06
-
Graph Neural Network Based Node Classification in Internet of Things Network
한국통신학회 학술대회논문집
2023 .06
-
Prediction of Airflow Resistance On 1D Skeletal Structure of Human Airway Using Graph Neural Network
한국전산유체공학회 학술대회논문집
2022 .10
-
Overlapping Community Detection Using Graph Neural Networks in Networks with Unknown Topology
한국통신학회 학술대회논문집
2022 .06
-
Graph-based representation을 활용한 뉴스 중요도 산출
대한산업공학회 춘계공동학술대회 논문집
2017 .04
-
Active Learning of Graph Neural Network for Molecular Property Prediction
대한산업공학회 추계학술대회 논문집
2019 .11
-
그래프 중심성들을 이용한 그래프 유사도 측정
한국컴퓨터정보학회논문지
2018 .12
-
Unsupervised 3D Shape Classification Using Graph Neural Networks
한국통신학회 학술대회논문집
2023 .02
-
Graph neural networks for DNA origami shape prediction
대한기계학회 춘추학술대회
2024 .11
-
Concept-Aided Explanation of Graph Neural Networks
한국통신학회 학술대회논문집
2021 .06
-
Graph Neural Network-based Model for Deformation Prediction of Closure Parts
한국자동차공학회 추계학술대회 및 전시회
2022 .11
-
동적그래프 기반 Graph Neural Network를 활용한 Point Cloud Sampling 방법
한국자동차공학회 춘계학술대회
2023 .05
-
An Abnormal Pattern Detection Scheme Based on GCN and DBSCAN in a Large-Scale Graph
International JOURNAL OF CONTENTS
2022 .12
-
A Graph Embedding Technique for Weighted Graphs Based on LSTM Autoencoders
JIPS(Journal of Information Processing Systems)
2020 .01
-
Unveiling Hidden Vulnerabilities: Similar Vulnerability Detection Using a Gradient Boosting Decision Tree
한국통신학회 학술대회논문집
2023 .06
-
Spatio-temporal Graph Neural Network Approach for Realtime Traffic Incident Detection
대한산업공학회 춘계공동학술대회 논문집
2023 .05
-
Graph Neural Networks with Heat Kernel Stabilization
한국정보과학회 학술발표논문집
2021 .12
이 논문의 저자 정보
이 논문과 함께 이용한 논문
최근 본 자료
댓글(0)
0