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Published by LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330075880 ISBN 13: 9783330075887
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Published by LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330075880 ISBN 13: 9783330075887
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Published by LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330075880 ISBN 13: 9783330075887
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Taschenbuch. Condition: Neu. A Systematic Review and Taxonomy of SQL Injection Defense Techniques | Anup Shakya (u. a.) | Taschenbuch | 140 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783330075887 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Published by LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330075880 ISBN 13: 9783330075887
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Published by LAP LAMBERT Academic Publishing Apr 2017, 2017
ISBN 10: 3330075880 ISBN 13: 9783330075887
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This paper is focused on building a taxonomy of SQL injection defense techniques and classifying current methods according to that taxonomy. A systematic literature review (SLR) is conducted using the five major e-databases; IEEE, ACM, Engineering Village (Inspec/Compendex), ISI web of science and Scopus. 61 defense techniques were found and based on these techniques, a taxonomy of SQL injection defense techniques was built. The taxonomy consists of various dimensions which can be grouped under two higher order terms; detection method and evaluation criteria. The taxonomy provides a basis for comparison of different defense techniques. Organization(s) can use our taxonomy to choose suitable defenses depending on their available resources and environments. Moreover, this classification can lead towards a number of future research directions in the field of SQL injection prevention. 140 pp. Englisch.
Language: English
Published by LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330075880 ISBN 13: 9783330075887
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Published by LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330075880 ISBN 13: 9783330075887
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Shakya AnupAnup Shakya has 10 years of professional experience as a programmer, most of it working with web application, e-commerce and web security issues at IT Company. He received his M.Sc. in Computer Science from Blekinge Instit.
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Published by LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330075880 ISBN 13: 9783330075887
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Published by LAP LAMBERT Academic Publishing Apr 2017, 2017
ISBN 10: 3330075880 ISBN 13: 9783330075887
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This paper is focused on building a taxonomy of SQL injection defense techniques and classifying current methods according to that taxonomy. A systematic literature review (SLR) is conducted using the five major e-databases; IEEE, ACM, Engineering Village (Inspec/Compendex), ISI web of science and Scopus. 61 defense techniques were found and based on these techniques, a taxonomy of SQL injection defense techniques was built. The taxonomy consists of various dimensions which can be grouped under two higher order terms; detection method and evaluation criteria. The taxonomy provides a basis for comparison of different defense techniques. Organization(s) can use our taxonomy to choose suitable defenses depending on their available resources and environments. Moreover, this classification can lead towards a number of future research directions in the field of SQL injection prevention.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 140 pp. Englisch.
Language: English
Published by LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330075880 ISBN 13: 9783330075887
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This paper is focused on building a taxonomy of SQL injection defense techniques and classifying current methods according to that taxonomy. A systematic literature review (SLR) is conducted using the five major e-databases; IEEE, ACM, Engineering Village (Inspec/Compendex), ISI web of science and Scopus. 61 defense techniques were found and based on these techniques, a taxonomy of SQL injection defense techniques was built. The taxonomy consists of various dimensions which can be grouped under two higher order terms; detection method and evaluation criteria. The taxonomy provides a basis for comparison of different defense techniques. Organization(s) can use our taxonomy to choose suitable defenses depending on their available resources and environments. Moreover, this classification can lead towards a number of future research directions in the field of SQL injection prevention.