دورية أكاديمية

Dynamic Information Flow Tracking: Taxonomy, Challenges, and Opportunities

التفاصيل البيبلوغرافية
العنوان: Dynamic Information Flow Tracking: Taxonomy, Challenges, and Opportunities
المؤلفون: Kejun Chen, Xiaolong Guo, Qingxu Deng, Yier Jin
المصدر: Micromachines, Vol 12, Iss 8, p 898 (2021)
بيانات النشر: MDPI AG, 2021.
سنة النشر: 2021
المجموعة: LCC:Mechanical engineering and machinery
مصطلحات موضوعية: dynamic information flow tracking, data-flow integrity, control-flow integrity, data-flow analysis, Mechanical engineering and machinery, TJ1-1570
الوصف: Dynamic information flow tracking (DIFT) has been proven an effective technique to track data usage; prevent control data attacks and non-control data attacks at runtime; and analyze program performance. Therefore, a series of DIFT techniques have been developed recently. In this paper, we summarize the current DIFT solutions and analyze the features and limitations of these solutions. Based on the analysis, we classify the existing solutions into three categories, i.e., software, hardware, software and hardware co-design. We discuss the DIFT design from the perspective of whole system and point out the limitations of current DIFT frameworks. Potential enhancements to these solutions are also presented. Furthermore, we present suggestions about the possible future direction of DIFT solutions so that DIFT can help improve security levels.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2072-666X
Relation: https://www.mdpi.com/2072-666X/12/8/898; https://doaj.org/toc/2072-666X
DOI: 10.3390/mi12080898
URL الوصول: https://doaj.org/article/804b9b1890f74a858d03df3f1a52dcc6
رقم الأكسشن: edsdoj.804b9b1890f74a858d03df3f1a52dcc6
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:2072666X
DOI:10.3390/mi12080898