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1
Intro
2
Taint Tracking
3
Components
4
Applications
5
Dynamic Monitoring
6
Sound Static Analysis
7
Optimistic Hybrid Analysis
8
Optimistic Hybrid Analysis Overview
9
Dynamic Invariant Validation
10
Recovering Analysis
11
Bounding Analysis
12
Summary
13
Metadata State
14
Key Insight
15
Implementation
16
Evaluation
17
Generic Policy
18
Profiling Methodology
19
Conclusion
20
Un unbounded rollbacks
21
Questions
22
Comments
Description:
Explore a cutting-edge approach to dynamic information-flow tracking (DIFT) in this IEEE Symposium on Security & Privacy presentation. Dive into the innovative Iodine system, which employs a novel optimistic hybrid analysis to significantly reduce DIFT overhead while maintaining sound results. Learn how this method combines predicated whole-program static taint analysis with likely invariants from profiles to improve precision. Understand the challenges of optimizing live executions and discover how Iodine eliminates the need for rollbacks during recovery. Examine the components, applications, and key insights of this system, including dynamic monitoring, sound static analysis, and optimistic hybrid analysis. Gain valuable knowledge about the implementation, evaluation, and profiling methodology used in Iodine, which reduces DIFT overhead to just 9% - a 4.4x improvement over traditional hybrid analysis. Enhance your understanding of advanced security policy enforcement techniques applicable to live systems. Read more

Iodine - Fast Dynamic Taint Tracking Using Rollback Free Optimistic Hybrid Analysis

IEEE
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