Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6203863416 ISBN 13: 9786203863413
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Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6203863416 ISBN 13: 9786203863413
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Taschenbuch. Zustand: Neu. Approach to Preserve Location Privacy Against Sybil Attack in VANETs | An Effective Resilient Approach to Preserve Location Privacy of Vehicles Against Sybil Attack in Vehicular ADHOC Networks | Balaram Allam (u. a.) | Taschenbuch | Englisch | 2021 | LAP LAMBERT Academic Publishing | EAN 9786203863413 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing Mai 2021, 2021
ISBN 10: 6203863416 ISBN 13: 9786203863413
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Vehicular Ad hoc NETworks (VANETs) have the potential applications that significantly improve road safety and dramatically regulate the traffic. Security and Privacy are two noteworthy concerns in VANETs. However, many privacy preserving methods in VANET are susceptible to Sybil attacks. The Sybil attacker impersonates as multiple benign vehicles for gaining a disproportionately large influence. The conventional pseudonym generation schemes preserve the privacy and also facilitate the identification of Sybil attacker. To detect the Sybil attack with location privacy preservation, this research work proposes three types of defense mechanisms named as Privacy through Anonymous Beacon (PLPAB), Sybil Attack Resistant Location Privacy (SARLP), and SYstem for detecting misBehavIng vehicLes with loCAtion Privacy (SYBIL-CAP). 164 pp. Englisch.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6203863416 ISBN 13: 9786203863413
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Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6203863416 ISBN 13: 9786203863413
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Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6203863416 ISBN 13: 9786203863413
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In den WarenkorbZustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Allam BalaramDr. Allam Balaram, Professor, Department of Computer Science and Engineering, Vignan Institute of Technology and Science, Hyderabad, Telangana State, India. He has pursued Ph.D, Computer Science and Engineering from St. .
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing Mai 2021, 2021
ISBN 10: 6203863416 ISBN 13: 9786203863413
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Vehicular Ad hoc NETworks (VANETs) have the potential applications that significantly improve road safety and dramatically regulate the traffic. Security and Privacy are two noteworthy concerns in VANETs. However, many privacy preserving methods in VANET are susceptible to Sybil attacks. The Sybil attacker impersonates as multiple benign vehicles for gaining a disproportionately large influence. The conventional pseudonym generation schemes preserve the privacy and also facilitate the identification of Sybil attacker. To detect the Sybil attack with location privacy preservation, this research work proposes three types of defense mechanisms named as Privacy through Anonymous Beacon (PLPAB), Sybil Attack Resistant Location Privacy (SARLP), and SYstem for detecting misBehavIng vehicLes with loCAtion Privacy (SYBIL-CAP).VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 164 pp. Englisch.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6203863416 ISBN 13: 9786203863413
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Vehicular Ad hoc NETworks (VANETs) have the potential applications that significantly improve road safety and dramatically regulate the traffic. Security and Privacy are two noteworthy concerns in VANETs. However, many privacy preserving methods in VANET are susceptible to Sybil attacks. The Sybil attacker impersonates as multiple benign vehicles for gaining a disproportionately large influence. The conventional pseudonym generation schemes preserve the privacy and also facilitate the identification of Sybil attacker. To detect the Sybil attack with location privacy preservation, this research work proposes three types of defense mechanisms named as Privacy through Anonymous Beacon (PLPAB), Sybil Attack Resistant Location Privacy (SARLP), and SYstem for detecting misBehavIng vehicLes with loCAtion Privacy (SYBIL-CAP).