Explaining the Use of Cryptographic API in Android Malware
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F23%3A00131871" target="_blank" >RIV/00216224:14330/23:00131871 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-031-45137-9_4" target="_blank" >http://dx.doi.org/10.1007/978-3-031-45137-9_4</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-45137-9_4" target="_blank" >10.1007/978-3-031-45137-9_4</a>
Alternative languages
Result language
angličtina
Original language name
Explaining the Use of Cryptographic API in Android Malware
Original language description
Cryptography allows for guaranteeing secure communications, concealing critical data from reverse engineering, or ensuring mobile users’ privacy. Android malware developers extensively leveraged cryptographic libraries to obfuscate and hide malicious behavior. Various system-based and third-party libraries provide cryptographic functionalities for Android, and their use and misuse by application developers have already been documented. This paper analyzes the use of cryptographic APIs in Android malware by comparing them to benign Android applications. In particular, Android applications released between 2012 and 2020 have been analyzed, and more than 1 million cryptographic API expressions have been gathered. We created a processing pipeline to produce a report to reveal trends and insights on how and why cryptography is employed in Android malware. Results showed that the usage of cryptographic APIs in malware differs from that made in benign applications. The different patterns in the use of cryptographic APIs in malware and benign applications have been further analyzed through the explanations of Android malware detectors based on machine learning approaches, showing how crypto-related features can improve detection performances. We observed that the transition to more robust cryptographic techniques is slower in Android malware than in benign applications.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10200 - Computer and information sciences
Result continuities
Project
<a href="/en/project/GA20-03426S" target="_blank" >GA20-03426S: Examining and improving security of elliptic curve cryptography</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
E-Business and Telecommunications
ISBN
9783031451362
ISSN
1865-0929
e-ISSN
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Number of pages
29
Pages from-to
69-97
Publisher name
Springer Nature Switzerland
Place of publication
Cham
Event location
Cham
Event date
Jan 1, 2023
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
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