Malware detection using logistic di gupta deepali (9 risultati)

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  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2019

    6200082642 / 9786200082640

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    Da: Books Puddle, New York, NY, U.S.A.Books Puddle

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    EUR 64,80

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    Condizione: New.

  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2019

    6200082642 / 9786200082640

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    Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books

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    EUR 70,15

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    Quantità: 1 disponibili

    Paperback. Condizione: Brand New. 56 pages. 8.66x5.91x0.13 inches. In Stock.

  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2019

    6200082642 / 9786200082640

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    Da: preigu, Osnabrück, Germaniapreigu

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    EUR 36,35

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    Taschenbuch. Condizione: Neu. Malware Detection By Using Logistic Regression With Dynamic Analysis | Deepali Gupta | Taschenbuch | 56 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786200082640 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing Apr 2019, 2019

    6200082642 / 9786200082640

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    Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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    EUR 39,90

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    Quantità: 2 disponibili

    Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Use of mobile phones for getting to the web has extended broadly, anyway paying little heed to basic advances in processor power and exchange speed, using PDAs for examining isn't equivalent to work region scrutinizing. Content constituents and page arrangements are used to perform static goals to decide vindictiveness in the page content space. The investigation way centers on building an enhanced framework to distinguish malignant destinations consistently by joining of Dynamic recognizable proof methodologies. In the continuous separated from utilizing since quite a while ago settled static methodologies recommended already the dynamic examination bases on API Calls Observation and Filtration and furthermore for each malware family a plan of precedents are recognized, every model addressed a changed watched variation of the first malware record. The present work additionally centers on examining the executable page contents for malevolent code identification for API calls present in the content. Exploratory outcomes demonstrate that the enhanced strategy performs superior to past methodology that centers on just static examination. 56 pp. Englisch.

  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2019

    6200082642 / 9786200082640

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    Da: Majestic Books, Hounslow, Regno UnitoMajestic Books

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    Condizione: Nuovo

    EUR 63,35

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    Quantità: 4 disponibili

    Condizione: New. Print on Demand.

  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2019

    6200082642 / 9786200082640

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    Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios

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    Condizione: Nuovo

    EUR 64,41

    EUR 9,95 spedizione 
    Spedito da Germania a U.S.A.

    Quantità: 4 disponibili

    Condizione: New. PRINT ON DEMAND.

  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2019

    6200082642 / 9786200082640

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    Da: moluna, Greven, Germaniamoluna

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    EUR 34,25

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    Quantità: Più di 20 disponibili

    Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Gupta DeepaliMiss Deepali Gupta is research scholar perusing her M.Tech degree in computer science in Vishwavidyalaya Engineering College Ambikapur.Her interests include Artificial intelligence, Data Mining.Use of mobile phones f.

  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2019

    6200082642 / 9786200082640

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    Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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    Condizione: Nuovo

    EUR 58,59

    EUR 30,50 spedizione 
    Spedito da Germania a U.S.A.

    Quantità: 1 disponibili

    Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Use of mobile phones for getting to the web has extended broadly, anyway paying little heed to basic advances in processor power and exchange speed, using PDAs for examining isn't equivalent to work region scrutinizing. Content constituents and page arrangements are used to perform static goals to decide vindictiveness in the page content space. The investigation way centers on building an enhanced framework to distinguish malignant destinations consistently by joining of Dynamic recognizable proof methodologies. In the continuous separated from utilizing since quite a while ago settled static methodologies recommended already the dynamic examination bases on API Calls Observation and Filtration and furthermore for each malware family a plan of precedents are recognized, every model addressed a changed watched variation of the first malware record. The present work additionally centers on examining the executable page contents for malevolent code identification for API calls present in the content. Exploratory outcomes demonstrate that the enhanced strategy performs superior to past methodology that centers on just static examination.

  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing Apr 2019, 2019

    6200082642 / 9786200082640

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    Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

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    Condizione: Nuovo

    EUR 39,90

    EUR 60,00 spedizione 
    Spedito da Germania a U.S.A.

    Quantità: 1 disponibili

    Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Use of mobile phones for getting to the web has extended broadly, anyway paying little heed to basic advances in processor power and exchange speed, using PDAs for examining isn't equivalent to work region scrutinizing. Content constituents and page arrangements are used to perform static goals to decide vindictiveness in the page content space. The investigation way centers on building an enhanced framework to distinguish malignant destinations consistently by joining of Dynamic recognizable proof methodologies. In the continuous separated from utilizing since quite a while ago settled static methodologies recommended already the dynamic examination bases on API Calls Observation and Filtration and furthermore for each malware family a plan of precedents are recognized, every model addressed a changed watched variation of the first malware record. The present work additionally centers on examining the executable page contents for malevolent code identification for API calls present in the content. Exploratory outcomes demonstrate that the enhanced strategy performs superior to past methodology that centers on just static examination.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 56 pp. Englisch.