R Pradeep Kumar Reddy (38 results)

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    • Language: English

      Published by LAP LAMBERT Academic Publishing, 2021

      620472617X / 9786204726175

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    • Language: Spanish

      Published by Ediciones Nuestro Conocimiento, 2023

      6204668129 / 9786204668123

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    • Language: English

      Published by LAP LAMBERT Academic Publishing, 2020

      620319574X / 9786203195743

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      Taschenbuch. Condition: Neu. Optimal Threshold Selection Based on Random Fuzzy Sets | for Image Segmentation and Analysis | R. Pradeep Kumar Reddy (u. a.) | Taschenbuch | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786203195743 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

    • Language: English

      Published by LAP LAMBERT Academic Publishing, 2021

      620472617X / 9786204726175

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      Seller: preigu, Osnabrück, Germanypreigu

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      Taschenbuch. Condition: Neu. Detection of Phishing Websites using Random Forest Algorithm | R. Pradeep Kumar Reddy (u. a.) | Taschenbuch | Englisch | 2021 | LAP LAMBERT Academic Publishing | EAN 9786204726175 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

    • Language: French

      Published by Editions Notre Savoir, 2023

      6204668137 / 9786204668130

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    • Language: French

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      6204668137 / 9786204668130

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      Taschenbuch. Condition: Neu. Détection des sites Web de phishing à l'aide de l'algorithme Random Forest | R. Pradeep Kumar Reddy (u. a.) | Taschenbuch | Französisch | 2023 | Editions Notre Savoir | EAN 9786204668130 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

    • Published by Sciencia Scripts, 2022

      6204668153 / 9786204668154

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      Taschenbuch. Condition: Neu. Obnaruzhenie fishingowyh sajtow s ispol'zowaniem algoritma sluchajnogo lesa | R. Pradeep Kumar Reddy (u. a.) | Taschenbuch | Russisch | 2022 | Sciencia Scripts | EAN 9786204668154 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

    • Language: Portuguese

      Published by Edições Nosso Conhecimento, 2022

      6204668102 / 9786204668109

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    • Language: Portuguese

      Published by Edições Nosso Conhecimento, 2022

      6204668102 / 9786204668109

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      Taschenbuch. Condition: Neu. Detecção de sites de phishing usando algoritmo de floresta aleatória | R. Pradeep Kumar Reddy (u. a.) | Taschenbuch | Portugiesisch | 2022 | Edições Nosso Conhecimento | EAN 9786204668109 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

    • Language: Italian

      Published by Edizioni Sapienza, 2022

      6204668145 / 9786204668147

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      Taschenbuch. Condition: Neu. Rilevamento di siti Web di phishing utilizzando l'algoritmo Random Forest | R. Pradeep Kumar Reddy (u. a.) | Taschenbuch | Italienisch | 2022 | Edizioni Sapienza | EAN 9786204668147 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

    • Language: German

      Published by Verlag Unser Wissen, 2022

      6204668110 / 9786204668116

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      Taschenbuch. Condition: Neu. Erkennung von Phishing-Websites mit Random-Forest-Algorithmus | R. Pradeep Kumar Reddy (u. a.) | Taschenbuch | 72 S. | Deutsch | 2022 | Verlag Unser Wissen | EAN 9786204668116 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

    • Published by Sciencia Scripts Apr 2022, 2022

      6204668153 / 9786204668154

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      Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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      Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Set' prewratilas' w fundamental'nuü chast' nashih obychnyh social'nyh i denezhnyh uprazhnenij. Fishing web-sajta mozhno predstawit' kak imitaciü konfidencial'nogo sajta dlq polucheniq konfidencial'nyh dannyh ot onlajn-klientow, naprimer, imen pol'zowatelej i parolej. Fishing ¿ äto moshennichestwo s sajtom s cel'ü otslezhiwaniq i polucheniq konfidencial'nyh dannyh onlajn-klientow. Zloumyshlennik obmanywaet klienta s pomosch'ü metodow social'nogo proektirowaniq, takih kak SMS, golosowaq swqz', älektronnaq pochta, web-sajty i wredonosnye programmy. V ätom tezise pokazany razlichnye granicy dlq identifikacii sajtow kak fishingowyh ili podlinnyh. Poskol'ku izwlechenie komponentow qwlqetsq osnownoj chast'ü ätoj raboty, byli zadany razlichnye granicy älementow, iz kotoryh mozhno wybrat' wygodnye granicy dlq dopolnitel'noj nastrojki whodnogo sajta kak podlinnogo ili fishingowogo. Klassifikator SVM stanowitsq medlennee, kogda razmer informacii stanowitsq bol'she, a urowen' tochnosti nizok. Algoritm Random Forest byl predlozhen dlq preodoleniq ätogo nedostatka. On mozhet klassificirowat' web-sajty kak zakonnye ili nezakonnye, a takzhe powysit' urowen' tochnosti. 72 pp. Russisch.

    • Language: English

      Published by LAP LAMBERT Academic Publishing Dez 2021, 2021

      620472617X / 9786204726175

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      Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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      Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 64 pp. Englisch.

    • Language: English

      Published by LAP LAMBERT Academic Publishing Dez 2020, 2020

      620319574X / 9786203195743

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      Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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      Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The extended Canny edge detection technique is proposed to identify the edges efficiently using an automatic selection of optimal threshold values. The proposed work states that the detailed results reveal the superior performance over the traditional canny edge detection algorithm. However proposed algorithm fails for low contrast, multiresolution, and unevenly illuminated images. For the second objective, the gradient profile sharpness (GPS) algorithm is presented to emphasize the impact of illumination contrast on human visual perception. GPS is an edge sharpness metric, used for the description of various kinds of gradient profiles. This method focuses on the enhancement of low-resolution images using the triangle model and further the k-mean clustering is applied for object identification. However, it fails with multiresolution, and unevenly illuminated images. Finally, an optimal local thresholding technique based on random fuzzy sets and entropy measures is presented in this book for segmenting multiresolution and unevenly illuminated images. The results are shown in the form of tables and graphs for three methods. 128 pp. Englisch.

    • Language: English

      Published by LAP LAMBERT Academic Publishing, 2021

      620472617X / 9786204726175

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      Seller: Majestic Books, Hounslow, United KingdomMajestic Books

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    • Language: English

      Published by LAP LAMBERT Academic Publishing, 2020

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      Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The extended Canny edge detection technique is proposed to identify the edges efficiently using an automatic selection of optimal threshold values. The proposed work states that the detailed results reveal the superior performance over the traditional canny edge detection algorithm. However proposed algorithm fails for low contrast, multiresolution, and unevenly illuminated images. For the second objective, the gradient profile sharpness (GPS) algorithm is presented to emphasize the impact of illumination contrast on human visual perception. GPS is an edge sharpness metric, used for the description of various kinds of gradient profiles. This method focuses on the enhancement of low-resolution images using the triangle model and further the k-mean clustering is applied for object identification. However, it fails with multiresolution, and unevenly illuminated images. Finally, an optimal local thresholding technique based on random fuzzy sets and entropy measures is presented in this book for segmenting multiresolution and unevenly illuminated images. The results are shown in the form of tables and graphs for three methods.

    • Language: English

      Published by LAP LAMBERT Academic Publishing, 2021

      620472617X / 9786204726175

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      Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios

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    • Language: Spanish

      Published by Ediciones Nuestro Conocimiento Mai 2023, 2023

      6204668129 / 9786204668123

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      Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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      Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -La web se ha convertido en una parte fundamental de nuestro ejercicio económico y social habitual. El phishing de sitios web se puede describir como la imitación de un sitio de confianza para obtener datos confidenciales de clientes en línea, por ejemplo, nombres de usuario y contraseñas. El phishing es un fraude de sitio con la expectativa de rastrear y tomar los datos delicados de los clientes en línea. El agresor engaña al cliente con procedimientos de diseño social como SMS, voz, correo electrónico, sitio y malware. Esta tesis describe diferentes límites para identificar sitios como phishing o auténticos. Dado que la extracción de componentes es la parte principal de este trabajo, se han proporcionado diferentes límites de elementos desde los que se pueden elegir los límites beneficiosos para la disposición adicional del sitio de entrada como auténtico o phishing. El clasificador SVM se vuelve más lento cuando el tamaño de la información aumenta y la tasa de exactitud es baja. Se ha propuesto el algoritmo Random Forest para superar este inconveniente. Puede clasificar los sitios web como legítimos o no legítimos y también mejorar la tasa de precisión. 68 pp. Spanisch.

    • Language: English

      Published by LAP LAMBERT Academic Publishing, 2021

      620472617X / 9786204726175

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      Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Reddy R. Pradeep KumarWorking as Assistant Professor in the Department of CSE in YSR Engineering College of YVU with teaching experience of 17 years. Completed Ph.D. in Digital Image processing year 2020. He published 47 papers in va.

    • Language: English

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      620319574X / 9786203195743

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      Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Pradeep Kumar Reddy R.Dr. R. Pradeep Kumar Reddy is working as an Assistant Professor in the Department of CSE at Y.S.R Engineering College of Yogi Vemana University, Proddatur. He published 25 research articles in various National a.

    • Published by Sciencia Scripts

      6204668153 / 9786204668154

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      Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Set' prewratilas' w fundamental'nuü chast' nashih obychnyh social'nyh i denezhnyh uprazhnenij. Fishing web-sajta mozhno predstawit' kak imitaciü konfidencial'nogo sajta dlq polucheniq konfidencial'nyh dannyh ot onlajn-klientow, naprimer, imen pol'zowatelej i parolej. Fishing ¿ äto moshennichestwo s sajtom s cel'ü otslezhiwaniq i polucheniq konfidencial'nyh dannyh onlajn-klientow. Zloumyshlennik obmanywaet klienta s pomosch'ü metodow social'nogo proektirowaniq, takih kak SMS, golosowaq swqz', älektronnaq pochta, web-sajty i wredonosnye programmy. V ätom tezise pokazany razlichnye granicy dlq identifikacii sajtow kak fishingowyh ili podlinnyh. Poskol'ku izwlechenie komponentow qwlqetsq osnownoj chast'ü ätoj raboty, byli zadany razlichnye granicy älementow, iz kotoryh mozhno wybrat' wygodnye granicy dlq dopolnitel'noj nastrojki whodnogo sajta kak podlinnogo ili fishingowogo. Klassifikator SVM stanowitsq medlennee, kogda razmer informacii stanowitsq bol'she, a urowen' tochnosti nizok. Algoritm Random Forest byl predlozhen dlq preodoleniq ätogo nedostatka. On mozhet klassificirowat' web-sajty kak zakonnye ili nezakonnye, a takzhe powysit' urowen' tochnosti.

    • Language: Spanish

      Published by Ediciones Nuestro Conocimiento, 2023

      6204668129 / 9786204668123

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      Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - La web se ha convertido en una parte fundamental de nuestro ejercicio económico y social habitual. El phishing de sitios web se puede describir como la imitación de un sitio de confianza para obtener datos confidenciales de clientes en línea, por ejemplo, nombres de usuario y contraseñas. El phishing es un fraude de sitio con la expectativa de rastrear y tomar los datos delicados de los clientes en línea. El agresor engaña al cliente con procedimientos de diseño social como SMS, voz, correo electrónico, sitio y malware. Esta tesis describe diferentes límites para identificar sitios como phishing o auténticos. Dado que la extracción de componentes es la parte principal de este trabajo, se han proporcionado diferentes límites de elementos desde los que se pueden elegir los límites beneficiosos para la disposición adicional del sitio de entrada como auténtico o phishing. El clasificador SVM se vuelve más lento cuando el tamaño de la información aumenta y la tasa de exactitud es baja. Se ha propuesto el algoritmo Random Forest para superar este inconveniente. Puede clasificar los sitios web como legítimos o no legítimos y también mejorar la tasa de precisión.

    • Language: French

      Published by Editions Notre Savoir Mai 2023, 2023

      6204668137 / 9786204668130

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      Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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      Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Le Web est devenu un élément fondamental de nos exercices sociaux et monétaires ordinaires. L'hameçonnage de site Web peut être décrit comme imitant un site confidentiel pour obtenir des données délicates de clients en ligne, par exemple, des noms d'utilisateur et des mots de passe. L'hameçonnage est une fraude de site dans le but de suivre et de prendre les données délicates des clients en ligne. L'agresseur trompe le client avec des procédures de conception sociale telles que SMS, voix, e-mail, site Web et logiciels malveillants. Cette thèse décrit différentes limites pour identifier les sites comme hameçonneurs ou authentiques. Comme l'extraction de composants est la partie principale de ce travail, nous avons donné différentes limites d'éléments à partir desquelles on peut choisir les limites bénéfiques pour l'agencement supplémentaire du site d'entrée comme authentique ou hameçonnage. Le classificateur SVM devient plus lent lorsque la taille des informations augmente et que le taux d'exactitude est faible. L'algorithme Random Forest a été proposé pour pallier cet inconvénient. Il peut classer les sites Web comme légitimes ou non légitimes et également améliorer le taux de précision. 72 pp. Französisch.

    • Language: English

      Published by LAP LAMBERT Academic Publishing Dez 2020, 2020

      620319574X / 9786203195743

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      Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000

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      Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The extended Canny edge detection technique is proposed to identify the edges efficiently using an automatic selection of optimal threshold values. The proposed work states that the detailed results reveal the superior performance over the traditional canny edge detection algorithm. However proposed algorithm fails for low contrast, multiresolution, and unevenly illuminated images. For the second objective, the gradient profile sharpness (GPS) algorithm is presented to emphasize the impact of illumination contrast on human visual perception. GPS is an edge sharpness metric, used for the description of various kinds of gradient profiles. This method focuses on the enhancement of low-resolution images using the triangle model and further the k-mean clustering is applied for object identification. However, it fails with multiresolution, and unevenly illuminated images. Finally, an optimal local thresholding technique based on random fuzzy sets and entropy measures is presented in this book for segmenting multiresolution and unevenly illuminated images. The results are shown in the form of tables and graphs for three methods.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 128 pp. Englisch.

    • Language: English

      Published by LAP LAMBERT Academic Publishing Dez 2021, 2021

      620472617X / 9786204726175

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      Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 64 pp. Englisch.

    • Language: French

      Published by Editions Notre Savoir, 2023

      6204668137 / 9786204668130

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      Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Le Web est devenu un élément fondamental de nos exercices sociaux et monétaires ordinaires. L'hameçonnage de site Web peut être décrit comme imitant un site confidentiel pour obtenir des données délicates de clients en ligne, par exemple, des noms d'utilisateur et des mots de passe. L'hameçonnage est une fraude de site dans le but de suivre et de prendre les données délicates des clients en ligne. L'agresseur trompe le client avec des procédures de conception sociale telles que SMS, voix, e-mail, site Web et logiciels malveillants. Cette thèse décrit différentes limites pour identifier les sites comme hameçonneurs ou authentiques. Comme l'extraction de composants est la partie principale de ce travail, nous avons donné différentes limites d'éléments à partir desquelles on peut choisir les limites bénéfiques pour l'agencement supplémentaire du site d'entrée comme authentique ou hameçonnage. Le classificateur SVM devient plus lent lorsque la taille des informations augmente et que le taux d'exactitude est faible. L'algorithme Random Forest a été proposé pour pallier cet inconvénient. Il peut classer les sites Web comme légitimes ou non légitimes et également améliorer le taux de précision.

    • Language: Spanish

      Published by Ediciones Nuestro Conocimiento Mai 2023, 2023

      6204668129 / 9786204668123

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      Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000

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      Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -La web se ha convertido en una parte fundamental de nuestro ejercicio económico y social habitual. El phishing de sitios web se puede describir como la imitación de un sitio de confianza para obtener datos confidenciales de clientes en línea, por ejemplo, nombres de usuario y contraseñas. El phishing es un fraude de sitio con la expectativa de rastrear y tomar los datos delicados de los clientes en línea. El agresor engaña al cliente con procedimientos de diseño social como SMS, voz, correo electrónico, sitio y malware. Esta tesis describe diferentes límites para identificar sitios como phishing o auténticos. Dado que la extracción de componentes es la parte principal de este trabajo, se han proporcionado diferentes límites de elementos desde los que se pueden elegir los límites beneficiosos para la disposición adicional del sitio de entrada como auténtico o phishing. El clasificador SVM se vuelve más lento cuando el tamaño de la información aumenta y la tasa de exactitud es baja. Se ha propuesto el algoritmo Random Forest para superar este inconveniente. Puede clasificar los sitios web como legítimos o no legítimos y también mejorar la tasa de precisión.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 68 pp. Spanisch.

    • Published by Sciencia Scripts Apr 2022, 2022

      6204668153 / 9786204668154

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      Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000

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      Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Set' prewratilas' w fundamental'nuü chast' nashih obychnyh social'nyh i denezhnyh uprazhnenij. Fishing web-sajta mozhno predstawit' kak imitaciü konfidencial'nogo sajta dlq polucheniq konfidencial'nyh dannyh ot onlajn-klientow, naprimer, imen pol'zowatelej i parolej. Fishing ¿ äto moshennichestwo s sajtom s cel'ü otslezhiwaniq i polucheniq konfidencial'nyh dannyh onlajn-klientow. Zloumyshlennik obmanywaet klienta s pomosch'ü metodow social'nogo proektirowaniq, takih kak SMS, golosowaq swqz', älektronnaq pochta, web-sajty i wredonosnye programmy. V ätom tezise pokazany razlichnye granicy dlq identifikacii sajtow kak fishingowyh ili podlinnyh. Poskol'ku izwlechenie komponentow qwlqetsq osnownoj chast'ü ätoj raboty, byli zadany razlichnye granicy älementow, iz kotoryh mozhno wybrat' wygodnye granicy dlq dopolnitel'noj nastrojki whodnogo sajta kak podlinnogo ili fishingowogo. Klassifikator SVM stanowitsq medlennee, kogda razmer informacii stanowitsq bol'she, a urowen' tochnosti nizok. Algoritm Random Forest byl predlozhen dlq preodoleniq ätogo nedostatka. On mozhet klassificirowat' web-sajty kak zakonnye ili nezakonnye, a takzhe powysit' urowen' tochnosti.Books on Demand GmbH, Überseering 33, 22297 Hamburg 72 pp. Russisch.

    • Language: German

      Published by Verlag Unser Wissen Apr 2022, 2022

      6204668110 / 9786204668116

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      Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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      Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 72 pp. Deutsch.

    • Language: Portuguese

      Published by Edições Nosso Conhecimento Apr 2022, 2022

      6204668102 / 9786204668109

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      Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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      Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -A web se tornou uma parte fundamental de nossos exercícios sociais e monetários comuns. O phishing de site pode ser descrito como a imitação de um site confiável para obter dados delicados de clientes online, por exemplo, nomes de usuário e senhas. Phishing é uma fraude de site com a expectativa de rastrear e obter dados delicados de clientes online. O assaltante engana o cliente com procedimentos de design social como SMS, voz, e-mail, site e malware. Esta tese descreve diferentes limites para identificar sites como phishing ou autênticos. Como a extração de componentes é a parte principal deste trabalho, demos diferentes limites de elementos a partir dos quais se pode escolher os limites benéficos para o arranjo adicional do site de entrada como autêntico ou phishing. O classificador SVM fica mais lento quando o tamanho da informação se torna maior e a taxa de exatidão é baixa. O algoritmo Random Forest foi proposto para superar essa desvantagem. Ele pode classificar os sites como legítimos ou não legítimos e também melhorar a taxa de precisão. 68 pp. Portugiesisch.