Automatic Generation of Mobile Malwares Using Genetic Programming
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- @MastersThesis{Aydogan:mastersthesis,
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author = "Emre Aydogan",
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title = "Automatic Generation of Mobile Malwares Using Genetic
Programming",
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school = "Hacettepe Universitesi",
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year = "2014",
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address = "Ankara, Turkey",
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month = aug,
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keywords = "genetic algorithms, genetic programming, mobile
malware, static analysis, obfuscation, evolutionary
computation,",
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URL = "https://web.cs.hacettepe.edu.tr/~ssen/files/thesis/EmreTez.pdf",
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size = "82 pages",
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abstract = "The number of mobile devices has increased
dramatically in the past few years. These smart devices
provide many useful functionalities accessible from
anywhere at any time, such as reading and writing
e-mails, surfing on the Internet, showing facilities
nearby, and the like. Hence, they become an inevitable
part of our daily lives. However the popularity and
adoption of mobile devices also attract virus writers
in order to harm our devices. So, many security
companies have already proposed new solutions in order
to protect our mobile devices from such malicious
attempts. However developing methodologies that detect
unknown malwares is a research challenge, especially on
devices with limited resources. This study presents a
method that evolves automatically variants of malwares
from the ones in the wild by using genetic programming.
We aim to evaluate existing security solutions based on
static analysis techniques against these evolved
unknown malwares. The experimental results show the
weaknesses of the static analysis tools available in
the market, and the need of new detection techniques
suitable for mobile devices.",
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notes = "Genetik Programlama Kullanilarak Mobil Zararli
Yazilimların Otomatik Olarak Uretilmesi
In Turkish
Supervisor: Sevil Sen",
- }
Genetic Programming entries for
Emre Aydogan
Citations