Da: Bellwetherbooks, McKeesport, PA, U.S.A.
paperback. Condizione: Fine. LIKE NEW!!! Has a red or black remainder mark on bottom/exterior edge of pages.
Lingua: Inglese
Editore: No Starch Press,US, San Francisco, 2023
ISBN 10: 171850330X ISBN 13: 9781718503304
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: new. Paperback. Written by machine-learning researchers and members of the Android Security team, this all-star guide tackles the analysis and detection of malware that targets the Android operating system.Written by machine-learning researchers and members of the Android Security team, this all-star guide tackles the analysis and detection of malware that targets the Android operating system.This groundbreaking guide to Android malware distills years of research by machine learning experts in academia and members of Meta and Google's Android Security teams into a comprehensive introduction to detecting common threats facing the Android eco-system today.Explore the history of Android malware in the wild since the operating system first launched and then practice static and dynamic approaches to analyzing real malware specimens. Next, examine machine learning techniques that can be used to detect malicious apps, the types of classification models that defenders can implement to achieve these detections, and the various malware features that can be used as input to these models. Adapt these machine learning strategies to the identifica-tion of malware categories like banking trojans, ransomware, and SMS fraud.You'll-Dive deep into the source code of real malwareExplore the static, dynamic, and complex features you can extract from malware for analysisMaster the machine learning algorithms useful for malware detectionSurvey the efficacy of machine learning techniques at detecting common Android malware categoriesThe Android Malware Handbook's team of expert authors will guide you through the Android threat landscape and prepare you for the next wave of malware to come. "Explores the history of Android attacks and covers static and dynamic approaches to analyzing real malware specimens, machine-learning techniques to detect malicious apps, and how to identify banking trojans, ransomware, and SMS fraud"-- Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
paperback. Condizione: New. New with remainder mark. Buy multiples from our store to save on shipping.
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition.
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New.
paperback. Condizione: As New. New with remainder mark. Buy multiples from our store to save on shipping.
Lingua: Inglese
Editore: Penguin Random House Group, 2023
ISBN 10: 171850330X ISBN 13: 9781718503304
Da: PBShop.store US, Wood Dale, IL, U.S.A.
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
EUR 37,15
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: New. This comprehensive guide to Android malware introduces current threats facing the world's most widely used operating system. After exploring the history of attacks seen in the wild since the time Android first launched, including several malware families previously absent from the literature, you'll practice static and dynamic approaches to analysing real malware specimens. Next, you'll examine the machine-learning techniques used to detect malicious apps, the types of classification models that defenders can use, and the various features of malware specimens that can become input to these models. You'll then adapt these machine-learning strategies to the identification of malware categories like banking trojans, ransomware, and SMS fraud. You'll learn: How historical Android malware can elevate your understanding of current threats; How to manually identify and analyse current Android malware using static and dynamic reverse-engineering tools; How machine-learning algorithms can analyse thousands of apps to detect malware at scale.
Condizione: New.
Da: Basi6 International, Irving, TX, U.S.A.
Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Lingua: Inglese
Editore: Penguin Random House Group, 2023
ISBN 10: 171850330X ISBN 13: 9781718503304
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 39,87
Quantità: 15 disponibili
Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Da: Massive Bookshop, Greenfield, MA, U.S.A.
Paperback. Condizione: New.
EUR 44,43
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New.
Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 37,08
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Aggiungi al carrelloCondizione: New.
EUR 44,00
Quantità: 15 disponibili
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EUR 45,80
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 39,59
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 38,90
Quantità: 1 disponibili
Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 44,34
Quantità: 2 disponibili
Aggiungi al carrelloCondizione: New. In.
Lingua: Inglese
Editore: No Starch Press 2023-11-07, 2023
ISBN 10: 171850330X ISBN 13: 9781718503304
Da: Chiron Media, Wallingford, Regno Unito
EUR 41,69
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: New.
Da: Revaluation Books, Exeter, Regno Unito
EUR 44,48
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 280 pages. 9.25x7.00x1.02 inches. In Stock.
Condizione: New.
Editore: Penguin Random House
ISBN 10: 171850330X ISBN 13: 9781718503304
Da: INDOO, Avenel, NJ, U.S.A.
EUR 32,59
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread copy in mint condition.
Editore: Penguin Random House
ISBN 10: 171850330X ISBN 13: 9781718503304
Da: INDOO, Avenel, NJ, U.S.A.
EUR 32,68
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Brand New.
Condizione: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Lingua: Inglese
Editore: Random House LLC US Nov 2023, 2023
ISBN 10: 171850330X ISBN 13: 9781718503304
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 46,50
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware -Written by machine-learning researchers and members of the Android Security team, this all-star guide tackles the analysis and detection of malware that targets the Android operating system.This groundbreaking guide to Android malware distills years of research by machine learning experts in academia and members of Meta and Google's Android Security teams into a comprehensive introduction to detecting common threats facing the Android eco-system today.Explore the history of Android malware in the wild since the operating system first launched and then practice static and dynamic approaches to analyzing real malware specimens. Next, examine machine learning techniques that can be used to detect malicious apps, the types of classification models that defenders can implement to achieve these detections, and the various malware features that can be used as input to these models. Adapt these machine learning strategies to the identifica-tion of malware categories like banking trojans, ransomware, and SMS fraud.You'll: 298 pp. Englisch.
Lingua: Inglese
Editore: Random House LLC US Nov 2023, 2023
ISBN 10: 171850330X ISBN 13: 9781718503304
Da: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, Germania
EUR 46,50
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware -Written by machine-learning researchers and members of the Android Security team, this all-star guide tackles the analysis and detection of malware that targets the Android operating system.This groundbreaking guide to Android malware distills years of research by machine learning experts in academia and members of Meta and Google's Android Security teams into a comprehensive introduction to detecting common threats facing the Android eco-system today.Explore the history of Android malware in the wild since the operating system first launched and then practice static and dynamic approaches to analyzing real malware specimens. Next, examine machine learning techniques that can be used to detect malicious apps, the types of classification models that defenders can implement to achieve these detections, and the various malware features that can be used as input to these models. Adapt these machine learning strategies to the identifica-tion of malware categories like banking trojans, ransomware, and SMS fraud.You'll: 298 pp. Englisch.
Lingua: Inglese
Editore: Random House LLC US Nov 2023, 2023
ISBN 10: 171850330X ISBN 13: 9781718503304
Da: Wegmann1855, Zwiesel, Germania
EUR 46,50
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware -Written by machine-learning researchers and members of the Android Security team, this all-star guide tackles the analysis and detection of malware that targets the Android operating system.This groundbreaking guide to Android malware distills years of research by machine learning experts in academia and members of Meta and Google's Android Security teams into a comprehensive introduction to detecting common threats facing the Android eco-system today.Explore the history of Android malware in the wild since the operating system first launched and then practice static and dynamic approaches to analyzing real malware specimens. Next, examine machine learning techniques that can be used to detect malicious apps, the types of classification models that defenders can implement to achieve these detections, and the various malware features that can be used as input to these models. Adapt these machine learning strategies to the identifica-tion of malware categories like banking trojans, ransomware, and SMS fraud.You'll:
EUR 38,93
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: New. This comprehensive guide to Android malware introduces current threats facing the world's most widely used operating system. After exploring the history of attacks seen in the wild since the time Android first launched, including several malware families previously absent from the literature, you'll practice static and dynamic approaches to analysing real malware specimens. Next, you'll examine the machine-learning techniques used to detect malicious apps, the types of classification models that defenders can use, and the various features of malware specimens that can become input to these models. You'll then adapt these machine-learning strategies to the identification of malware categories like banking trojans, ransomware, and SMS fraud. You'll learn: How historical Android malware can elevate your understanding of current threats; How to manually identify and analyse current Android malware using static and dynamic reverse-engineering tools; How machine-learning algorithms can analyse thousands of apps to detect malware at scale.