Title
Automatic Software Instrumentation for the Detection of Non-control-data Attacks
Abstract
To detect intrusions resulting of an attack that corrupted data items used by a program to perform its computation, we propose an approach that automatically instruments programs to control a data-based behavior model during their execution. We build our model by discovering the sets of data the system calls depend on and which constraints these sets must verify at runtime. We have implemented our approach using a static analysis framework called Frama-C and we present the results of experimentations on a vulnerable version of OpenSSH .
Year
DOI
Venue
2009
10.1007/978-3-642-04342-0_19
RAID
Keywords
Field
DocType
instruments program,automatic software instrumentation,non-control-data attacks,vulnerable version,corrupted data item,system call,data-based behavior model,static analysis framework,static analysis,behavior modeling
Instrumentation (computer programming),Computer security,Computer science,Static analysis,Real-time computing,Computation
Conference
Volume
ISSN
Citations 
5758
0302-9743
0
PageRank 
References 
Authors
0.34
1
3
Name
Order
Citations
PageRank
Jonathan-Christofer Demay131.10
Éric Totel200.34
Frédéric Tronel312310.45