Items related to Malware Detection in Android Phones
Synopsis
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.
"synopsis" may belong to another edition of this title.
- PublisherAnchor Academic Publishing
- Publication date2017
- ISBN 10 3960672047
- ISBN 13 9783960672043
- BindingPaperback
- LanguageEnglish
- Number of pages48
Search results for Malware Detection in Android Phones
Stock Image
Malware Detection in Android Phones
Published by
Anchor Academic Publishing, 2017
ISBN 10: 3960672047
ISBN 13: 9783960672043
New
Softcover
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # ABLING22Oct2817100641510
Quantity: Over 20 available
Stock Image
Malware Detection in Android Phones
Published by
Anchor Academic Publishing, 2017
ISBN 10: 3960672047
ISBN 13: 9783960672043
New
Softcover
Seller: California Books, Miami, FL, U.S.A.
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # I-9783960672043
Quantity: Over 20 available
Stock Image
Malware Detection in Android Phones
Print on DemandSeller: PBShop.store US, Wood Dale, IL, U.S.A.
Seller rating 5 out of 5 stars
PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # L0-9783960672043
Quantity: Over 20 available
Stock Image
Malware Detection in Android Phones
Print on DemandSeller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 4 out of 5 stars
PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # L0-9783960672043
Quantity: Over 20 available
Seller Image
Malware Detection in Android Phones
Published by
Anchor Academic Publishing Dez 2017, 2017
ISBN 10: 3960672047
ISBN 13: 9783960672043
New
Taschenbuch
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 48 pp. Englisch. Seller Inventory # 9783960672043
Quantity: 2 available
Stock Image
Malware Detection in Android Phones
Published by
Anchor Academic Publishing, 2017
ISBN 10: 3960672047
ISBN 13: 9783960672043
New
Softcover
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In. Seller Inventory # ria9783960672043_new
Quantity: Over 20 available
Seller Image
Malware Detection in Android Phones
Published by
Anchor Academic Publishing, 2017
ISBN 10: 3960672047
ISBN 13: 9783960672043
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Seller Inventory # 9783960672043
Quantity: 1 available
Seller Image
Malware Detection in Android Phones
Published by
Anchor Academic Publishing, 2017
ISBN 10: 3960672047
ISBN 13: 9783960672043
New
Softcover
Seller: moluna, Greven, Germany
Seller rating 5 out of 5 stars
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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. Seller Inventory # 385837021
Quantity: Over 20 available
Seller Image
Malware Detection in Android Phones
Published by
Anchor Academic Publishing, 2017
ISBN 10: 3960672047
ISBN 13: 9783960672043
New
Taschenbuch
Seller: preigu, Osnabrück, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Malware Detection in Android Phones | Sapna Malik | Taschenbuch | Paperback | 48 S. | Englisch | 2017 | Anchor Academic Publishing | EAN 9783960672043 | Verantwortliche Person für die EU: Dryas Verlag, ein Imprint der Bedey und Thoms Media GmbH, Hermannstal 119k, 22119 Hamburg, kontakt[at]dryas[dot]de | Anbieter: preigu. Seller Inventory # 110673889
Quantity: 5 available
Stock Image
Malware Detection in Android Phones
Published by
Anchor Academic Publishing, 2017
ISBN 10: 3960672047
ISBN 13: 9783960672043
New
paperback
Seller: dsmbooks, Liverpool, United Kingdom
Seller rating 4 out of 5 stars
paperback. Condition: New. New. book. Seller Inventory # D8S0-3-M-3960672047-6
Quantity: 1 available