Librería: Books Puddle, New York, NY, Estados Unidos de America
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Añadir al carritoCondición: New. pp. 96.
Librería: Revaluation Books, Exeter, Reino Unido
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Añadir al carritoPaperback. Condición: Brand New. 96 pages. 8.66x5.91x0.22 inches. In Stock.
Librería: preigu, Osnabrück, Alemania
EUR 51,70
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Añadir al carritoTaschenbuch. Condición: Neu. Software Birthmark Based Similarity Comparison of JavaScript Programs | Swati Patel | Taschenbuch | 96 S. | Englisch | 2018 | Scholars' Press | EAN 9786137995969 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Idioma: Inglés
Publicado por Scholars' Press Nov 2018, 2018
ISBN 10: 6137995968 ISBN 13: 9786137995969
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 59,90
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -An increased use of JavaScript in web development has also increased the theft of JavaScript programs. Code of JavaScript program can be easily obtained as most of the browsers provide the simplest way to access it. Watermarking and code obfuscation are the techniques used to safeguard the software. A potential attacker can easily deface watermark and hence watermark cannot completely protect the code. Code obfuscation cannot avoid copy of code. It only prevents others by understanding the logic of the program. Aim is to secure the intellectual property rights of JavaScript developers. Even if the code is obfuscated or a watermark is added in it, this system can easily detect theft. Heap Graph is used to depict the behavior of a JavaScript program as how it calls other objects to fulfil the desired functionality. Agglomerative clustering is used to efficiently merge the heap graphs formed at various points of time. Frequent Subgraph Mining is used to find the subgraph that represents the unique behavior of the program. Finally the subgraph of the genuine program is searched against the graph of the suspected one. The system was made to run on 3000 combinations of websites. 96 pp. Englisch.
Librería: moluna, Greven, Alemania
EUR 49,17
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Patel SwatiAn Entrepreneur and Freelancer with 4.5 years of experience in design, development, maintenance and deployment of business related software. Holds Master s degree in computer engineering with several international publicat.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 94,26
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Añadir al carritoCondición: New. Print on Demand pp. 96.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 95,22
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Añadir al carritoCondición: New. PRINT ON DEMAND pp. 96.
Idioma: Inglés
Publicado por Scholars' Press Nov 2018, 2018
ISBN 10: 6137995968 ISBN 13: 9786137995969
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 59,90
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -An increased use of JavaScript in web development has also increased the theft of JavaScript programs. Code of JavaScript program can be easily obtained as most of the browsers provide the simplest way to access it. Watermarking and code obfuscation are the techniques used to safeguard the software. A potential attacker can easily deface watermark and hence watermark cannot completely protect the code. Code obfuscation cannot avoid copy of code. It only prevents others by understanding the logic of the program. Aim is to secure the intellectual property rights of JavaScript developers. Even if the code is obfuscated or a watermark is added in it, this system can easily detect theft. Heap Graph is used to depict the behavior of a JavaScript program as how it calls other objects to fulfil the desired functionality. Agglomerative clustering is used to efficiently merge the heap graphs formed at various points of time. Frequent Subgraph Mining is used to find the subgraph that represents the unique behavior of the program. Finally the subgraph of the genuine program is searched against the graph of the suspected one. The system was made to run on 3000 combinations of websites.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 96 pp. Englisch.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 60,62
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - An increased use of JavaScript in web development has also increased the theft of JavaScript programs. Code of JavaScript program can be easily obtained as most of the browsers provide the simplest way to access it. Watermarking and code obfuscation are the techniques used to safeguard the software. A potential attacker can easily deface watermark and hence watermark cannot completely protect the code. Code obfuscation cannot avoid copy of code. It only prevents others by understanding the logic of the program. Aim is to secure the intellectual property rights of JavaScript developers. Even if the code is obfuscated or a watermark is added in it, this system can easily detect theft. Heap Graph is used to depict the behavior of a JavaScript program as how it calls other objects to fulfil the desired functionality. Agglomerative clustering is used to efficiently merge the heap graphs formed at various points of time. Frequent Subgraph Mining is used to find the subgraph that represents the unique behavior of the program. Finally the subgraph of the genuine program is searched against the graph of the suspected one. The system was made to run on 3000 combinations of websites.