Dynamic Information Flow Tracking

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== Abstract ==
== Abstract ==
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Dynamic information flow tracking (DIFT) has been an effective security countermeasure for both low-level memory corruptions and high-level semantic attacks. However, many software approaches suffers from large performance degradation and hardware approaches have great logic and storage overhead.  
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Dynamic information flow tracking (DIFT) is an effective security countermeasure for both low-level memory corruptions and high-level semantic attacks. However, many software approaches suffer large performance degradation, and hardware approaches have high logic and storage overhead. In this paper, we propose a flexible and light-weight hardware/software co-design approach to perform DIFT based on secure page allocation. Instead of associating every data with a taint tag, we aggregate data according to their taints, i.e., putting data with different attributes in separate memory pages. Our approach is a compiler-aided process with architecture support. The implementation and analysis show that the memory overhead is little, and our approach can protect critical information, including return address, indirect jump address, and system call IDs, from being overwritten by malicious users.
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We propose a flexible, efficient, and light-weight approach to perform DIFT based on secure page allocation, PIFT. Instead of associating each data value with a taint tag, we aggregate data according to their taints, i.e., putting data with different attributes in different types of memory pages.  
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Our approach is a compile-aided process that allows the compiler to allocate trusted/untrusted information into different memory pages. Our implementation and analysis show that the memory overhead is little, and the approach can protect critical information, like return address, indirect jump address, and system call arguments, from being overwritten by malicious data.
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Revision as of 13:38, 28 March 2012

Abstract

Dynamic information flow tracking (DIFT) is an effective security countermeasure for both low-level memory corruptions and high-level semantic attacks. However, many software approaches suffer large performance degradation, and hardware approaches have high logic and storage overhead. In this paper, we propose a flexible and light-weight hardware/software co-design approach to perform DIFT based on secure page allocation. Instead of associating every data with a taint tag, we aggregate data according to their taints, i.e., putting data with different attributes in separate memory pages. Our approach is a compiler-aided process with architecture support. The implementation and analysis show that the memory overhead is little, and our approach can protect critical information, including return address, indirect jump address, and system call IDs, from being overwritten by malicious users.





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