DocumentCode :
1772676
Title :
Methodology to reverse engineer a scrambled Java card virtual machine using electromagnetic analysis
Author :
Kasmi, Mohammed Amine ; Mostafa, Atahar ; Lanet, Jean Louis
Author_Institution :
Lab. MATSI, Mohammed First Univ., Oujda, Morocco
fYear :
2014
fDate :
28-30 May 2014
Firstpage :
278
Lastpage :
281
Abstract :
ElectroMagnetic Analysis (EMA) of smart cards is a powerful technique that allows extracting information about the executed code as well as about the processed data. It´s why EMA could be exploited in a side channel attack to retrieve the encryption key. In our current work, we study the possibility to apply reverse engineering upon a java card application in which the virtual machine is scrambled. Even if this process of scrambling is an effective way to prevent execution of an arbitrary code written in any data structure, we believe that it can be systematically bypassed regardless the level of the platform encryption under the reverse engineering trails. In this paper, we present a methodology that could be used to find out the encryption key of the scrambling process.
Keywords :
Java; data structures; private key cryptography; reverse engineering; smart cards; virtual machines; EMA; Java card application; arbitrary code execution prevention; code execution; data processing; data structure; electromagnetic analysis; encryption key retrieval; information extraction; platform encryption level; reverse engineering; scrambled Java card virtual machine; side channel attack; smart cards; Correlation; Encryption; Java; Prefetching; Reverse engineering; Smart cards; Virtual machining; bytecode; electromagnetic analysis; logical attacks; power analysis; reverse engineering; scrambled Java Card platform; side-channel attack;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Next Generation Networks and Services (NGNS), 2014 Fifth International Conference on
Conference_Location :
Casablanca
Print_ISBN :
978-1-4799-6608-0
Type :
conf
DOI :
10.1109/NGNS.2014.6990264
Filename :
6990264
Link To Document :
بازگشت