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On the Security of Anonymous Authentication Protocol for Mobile Pay-TV
Faculty
Computer Science
Year:
2015
Type of Publication:
ZU Hosted
Pages:
Authors:
Walid Ibrahim Ibrahim Khedr
Staff Zu Site
Abstract In Staff Site
Journal:
Journal of Information Security Scientific Research Publishing USA
Volume:
Keywords :
, , Security , Anonymous Authentication Protocol , Mobile Pay-TV
Abstract:
One of the promising multimedia services is the mobile pay-TV service. Due to its wireless nature, mobile pay-TV is vulnerable to attacks especially during hand-off. In 2011, an efficient anonymous authentication protocol for mobile pay-TV
Author Related Publications
Walid Ibrahim Ibrahim Khedr, "An end-to-end ID-Based Encryption and Authentication Scheme for Short Message Service in GSM Networks", Advanced Institute of Convergence IT, 2013
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Walid Ibrahim Ibrahim Khedr, "On the Security of Anonymous Authentication Scheme for Mobile LEO Satellite Networks", Advanced Institute of Convergence IT, 2013
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Walid Ibrahim Ibrahim Khedr, "SRFID: A hash-based security scheme for low cost RFID systems", Elsevier, 2013
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Walid Ibrahim Ibrahim Khedr, "On the Security of Moessner’s and Khan’s Authentication Scheme for Passive EPCglobal C1G2 RFID Tags", National Chung Hsing University, 2013
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Walid Ibrahim Ibrahim Khedr, "Enhanced inter-ASN handover authentication scheme for IEEE 802.16m network", Institution of Engineering and Technology United Kingdom, 2015
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Department Related Publications
Walid Ibrahim Ibrahim Khedr, "Ad-hoc on Demand Authentication Chain Protocol - An Authentication Protocol for Ad-Hoc Networks", Institute for Systems and Technologies of Information, Control and Communication, 2015
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Khalied Mohamed Hosny, "Robust Color Image Hashing Using Quaternion Polar Complex Exponential Transform for Image Authentication", Springer, 2018
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Asmaa Mohamed Khalid Mohamed Abbas, "Efficient compression of volumetric medical images using Legendre moments and differential evolution", Springer, 2020
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Ehab Roshdy Mohamed, "Efficient compression of volumetric medical images using Legendre moments and differential evolution", Springer, 2020
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