EAN: 9783960672043

MALWARE DETECTION IN ANDROID PHONES - SAPNA MAL...

The smartphone has rapidly become an extremely prevalent computing platform  with just over 115
million devices sold in the third quarter of 2011  a 15% increase over the 100 million devices
sold in the first quarter of 2011  and a 111% increase over the 54 million devices sold in the
first quarter of 2010. Android in particular has seen even more impressive growth  with the
devices sold in the third quarter of 2011 (60.5 million) almost triple the devices sold in the
third quarter of 2010 (20.5 million)  and an associated doubling of market share. This
popularity has not gone unnoticed by malware authors. Despite the rapid growth of the Android
platform  there are already well-documented cases of Android malware  such as DroidDream  which
was discovered in over 50 applications on the official Android market in March 2011.
Furthermore  it is found that Android's built-in security features are largely insufficient 
and that even non malicious programs can (unintentionally) expose confidential information. A
study of 204 040 Android applications conducted in 2011 found 211 malicious applications on the
official Android market and alternative marketplaces. The problem of using a machine
learning-based classifier to detect malware presents the challenge: Given an application  we
must extract some sort of feature representation of the application. To address this problem 
we extract a heterogeneous feature set  and process each feature independently using multiple
kernels.We train a One-Class Support Vector Machine using the feature set we get to classify
the application as a benign or malware accordingly.

Aktuelle Preise zur EAN 9783960672043

Produktinformationen zur 9783960672043