scholarly journals Efficient memory integrity verification and encryption for secure processors

2004 ◽  
Author(s):  
G.E. Suh ◽  
D. Clarke ◽  
B. Gasend ◽  
M. van Dijk ◽  
S. Devadas
Keyword(s):  
Integrity Verification ◽  
Secure Processors ◽  
Efficient Memory

TSV: A novel energy efficient Memory Integrity Verification scheme for embedded systems

2013 ◽  
Vol 59 (7) ◽  
pp. 400-411 ◽  
Author(s):  
Satyajeet Nimgaonkar ◽  
Mahadevan Gomathisankaran ◽  
Saraju P. Mohanty
Keyword(s):  
Embedded Systems ◽  
Energy Efficient ◽  
Verification Scheme ◽  
Integrity Verification ◽  
Efficient Memory

Privacy Preserving Data Integrity Verification in Cloud

2014 ◽  
Vol 1 (2) ◽  
pp. 25-31
Author(s):  
T. Subha ◽  
◽  
S. Jayashri ◽  
Keyword(s):  
Data Integrity ◽  
Privacy Preserving ◽  
Integrity Verification

scholarly journals Linear capabilities for fully abstract compilation of separation-logic-verified code

2021 ◽  
Vol 31 ◽  
Author(s):  
THOMAS VAN STRYDONCK ◽  
FRANK PIESSENS ◽  
DOMINIQUE DEVRIESE
Keyword(s):  
Spatial Separation ◽  
Separation Logic ◽  
Target Language ◽  
Fine Grained ◽  
Dynamic Contract ◽  
Modular Verification ◽  
Source Program ◽  
Memory Accesses ◽  
Memory Resources ◽  
Efficient Memory

Abstract Separation logic is a powerful program logic for the static modular verification of imperative programs. However, dynamic checking of separation logic contracts on the boundaries between verified and untrusted modules is hard because it requires one to enforce (among other things) that outcalls from a verified to an untrusted module do not access memory resources currently owned by the verified module. This paper proposes an approach to dynamic contract checking by relying on support for capabilities, a well-studied form of unforgeable memory pointers that enables fine-grained, efficient memory access control. More specifically, we rely on a form of capabilities called linear capabilities for which the hardware enforces that they cannot be copied. We formalize our approach as a fully abstract compiler from a statically verified source language to an unverified target language with support for linear capabilities. The key insight behind our compiler is that memory resources described by spatial separation logic predicates can be represented at run time by linear capabilities. The compiler is separation-logic-proof-directed: it uses the separation logic proof of the source program to determine how memory accesses in the source program should be compiled to linear capability accesses in the target program. The full abstraction property of the compiler essentially guarantees that compiled verified modules can interact with untrusted target language modules as if they were compiled from verified code as well. This article is an extended version of one that was presented at ICFP 2019 (Van Strydonck et al., 2019).

Quantitative analysis of measurement overhead for integrity verification

2017 ◽  
Author(s):  
Juhyung Son ◽  
Sungmin Koo ◽  
Jongmoo Choi ◽  
Seong-je Choi ◽  
Seungjae Baek ◽  
...  
Keyword(s):  
Quantitative Analysis ◽  
Integrity Verification
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