Surendran Roopak (22 results)
- Softcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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£ 54.18
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- Softcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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£ 56.53
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Intelligent Mobile Malware Detection (Security, Privacy, and Trust in Mobile Communications)
Thomas, Tony; Surendran, Roopak; John, Teenu; Alazab, Mamoun
- Softcover
Seller: California Books, Miami, FL, U.S.A.California Books
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£ 58.55
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- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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£ 51.02
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- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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£ 53.54
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Condition: As New. Unread book in perfect condition.
Intelligent Mobile Malware Detection (Security, Privacy, and Trust in Mobile Communications)
Thomas, Tony; Surendran, Roopak; John, Teenu; Alazab, Mamoun
- Softcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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£ 58.86
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Condition: New. In.
- Hardcover
Seller: Books From California, Simi Valley, CA, U.S.A.Books From California
Contact seller4-star sellerCondition: Used - Fine
£ 70.73
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hardcover. Condition: Fine.
- Softcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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£ 76.52
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Paperback. Condition: Brand New. 190 pages. 9.18x6.12x9.21 inches. In Stock.
- Hardcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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£ 90.29
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- Hardcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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£ 97.66
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Condition: New.
Intelligent Mobile Malware Detection (Security, Privacy, and Trust in Mobile Communications)
Thomas, Tony; Surendran, Roopak; John, Teenu; Alazab, Mamoun
- Hardcover
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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£ 93.00
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Condition: New.
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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£ 88.05
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Condition: New.
Intelligent Mobile Malware Detection (Security, Privacy, and Trust in Mobile Communications)
Thomas, Tony; Surendran, Roopak; John, Teenu; Alazab, Mamoun
- Hardcover
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
Contact seller4-star sellerCondition: New
£ 103.36
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Condition: New. 1st edition NO-PA16APR2015-KAP.
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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£ 89.44
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Condition: As New. Unread book in perfect condition.
Intelligent Mobile Malware Detection (Security, Privacy, and Trust in Mobile Communications)
Thomas, Tony; Surendran, Roopak; John, Teenu; Alazab, Mamoun
- Hardcover
Seller: California Books, Miami, FL, U.S.A.California Books
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£ 107.97
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Condition: New.
Intelligent Mobile Malware Detection (Security, Privacy, and Trust in Mobile Communications)
Thomas, Tony; Surendran, Roopak; John, Teenu; Alazab, Mamoun
- Hardcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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£ 101.49
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Condition: New. In.
Intelligent Mobile Malware Detection (Security, Privacy, and Trust in Mobile Communications)
Thomas, Tony; Surendran, Roopak; John, Teenu; Alazab, Mamoun
- Hardcover
Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
Contact seller4-star sellerCondition: New
£ 110.20
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Condition: New.
- Hardcover
Seller: moluna, Greven, Germanymoluna
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£ 94.86
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Condition: New.
- Softcover
- Print on Demand
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
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£ 53.93
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The popularity of Android mobile phones has caused more cybercriminalstocreate malware applications that carry out various malicious activities. The attacks, whichescalatedafter the COVID-19 pandemic, proved there is great importanc…e in protecting Android mobile devices from malware attacks. Intelligent Mobile Malware Detection will teach users how to develop intelligent Android malware detection mechanisms by using various graph and stochastic models. The book begins with an introduction to the Android operating system accompanied by the limitations of the state-of-the-art static malware detection mechanisms as well as a detailed presentation of a hybrid malware detection mechanism. The text then presents four different system call-based dynamic Android malware detection mechanisms using graph centrality measures, graph signal processing and graph convolutional networks. Further, the text shows how most of the Android malware can be detected by checking the presence of a unique subsequence of system calls in its system call sequence. All the malware detection mechanisms presented in the book are based on the authors' recent research. The experiments are conducted with the latest Android malware samples, andthe malware samples are collected from public repositories. The source codes are also provided for easy implementation of the mechanisms. This book will be highly useful to Android malware researchers, developers, students and cyber security professionals to explore and build defense mechanisms against the ever-evolving Android malware. 192 pp. Englisch.
- Softcover
- Print on Demand
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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£ 63.27
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The popularity of Android mobile phones has caused more cybercriminalstocreate malware applications that carry out various malicious activities. The attacks, whichescalatedafter the COVID-19 pandemic, proved there is great importance in…protecting Android mobile devices from malware attacks. Intelligent Mobile Malware Detection will teach users how to develop intelligent Android malware detection mechanisms by using various graph and stochastic models. The book begins with an introduction to the Android operating system accompanied by the limitations of the state-of-the-art static malware detection mechanisms as well as a detailed presentation of a hybrid malware detection mechanism. The text then presents four different system call-based dynamic Android malware detection mechanisms using graph centrality measures, graph signal processing and graph convolutional networks. Further, the text shows how most of the Android malware can be detected by checking the presence of a unique subsequence of system calls in its system call sequence. All the malware detection mechanisms presented in the book are based on the authors' recent research. The experiments are conducted with the latest Android malware samples, andthe malware samples are collected from public repositories. The source codes are also provided for easy implementation of the mechanisms. This book will be highly useful to Android malware researchers, developers, students and cyber security professionals to explore and build defense mechanisms against the ever-evolving Android malware.
- Hardcover
- Print on Demand
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
Contact seller5-star sellerCondition: New
£ 92.39
£ 19.74 shippingShips from Germany to U.S.A.Quantity: 2 available
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The popularity of Android mobile phones has caused more cybercriminalstocreate malware applications that carry out various malicious activities. The attacks, whichescalatedafter the COVID-19 pandemic, proved there is great importance in pr…otecting Android mobile devices from malware attacks. Intelligent Mobile Malware Detection will teach users how to develop intelligent Android malware detection mechanisms by using various graph and stochastic models. The book begins with an introduction to the Android operating system accompanied by the limitations of the state-of-the-art static malware detection mechanisms as well as a detailed presentation of a hybrid malware detection mechanism. The text then presents four different system call-based dynamic Android malware detection mechanisms using graph centrality measures, graph signal processing and graph convolutional networks. Further, the text shows how most of the Android malware can be detected by checking the presence of a unique subsequence of system calls in its system call sequence. All the malware detection mechanisms presented in the book are based on the authors' recent research. The experiments are conducted with the latest Android malware samples, andthe malware samples are collected from public repositories. The source codes are also provided for easy implementation of the mechanisms. This book will be highly useful to Android malware researchers, developers, students and cyber security professionals to explore and build defense mechanisms against the ever-evolving Android malware. 192 pp. Englisch.
- Hardcover
- Print on Demand
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
Contact seller5-star sellerCondition: New
£ 105.75
£ 26.18 shippingShips from Germany to U.S.A.Quantity: 2 available
Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The popularity of Android mobile phones has caused more cybercriminalstocreate malware applications that carry out various malicious activities. The attacks, whichescalatedafter the COVID-19 pandemic, proved there is great importance in protect…ing Android mobile devices from malware attacks. Intelligent Mobile Malware Detection will teach users how to develop intelligent Android malware detection mechanisms by using various graph and stochastic models. The book begins with an introduction to the Android operating system accompanied by the limitations of the state-of-the-art static malware detection mechanisms as well as a detailed presentation of a hybrid malware detection mechanism. The text then presents four different system call-based dynamic Android malware detection mechanisms using graph centrality measures, graph signal processing and graph convolutional networks. Further, the text shows how most of the Android malware can be detected by checking the presence of a unique subsequence of system calls in its system call sequence. All the malware detection mechanisms presented in the book are based on the authors' recent research. The experiments are conducted with the latest Android malware samples, andthe malware samples are collected from public repositories. The source codes are also provided for easy implementation of the mechanisms. This book will be highly useful to Android malware researchers, developers, students and cyber security professionals to explore and build defense mechanisms against the ever-evolving Android malware.
