• Complex
  • Title
  • Keyword
  • Abstract
  • Scholars
  • Journal
  • ISSN
  • Conference
成果搜索

author:

Ali, Mohammad (Ali, Mohammad.) [1] | Liu, Ximeng (Liu, Ximeng.) [2]

Indexed by:

EI

Abstract:

Ensuring data integrity and confidentiality is critical in communication systems. Traditional methods, such as separate encryption and signature schemes, often lead to inefficiencies. While signcryption methods address both needs simultaneously, they are inadequate for data outsourcing systems like cloud computing due to the requirement for original files during data verification. Conversely, remote data integrity checking (RDIC) methods eliminate the need for original files but lack confidentiality. This article fills the gap in cloud security by introducing remote signcryption (RSC) and presenting the first concrete RSC scheme. We demonstrate the application of this novel approach in cloud-assisted Internet of Things (IoT) networks. Our work includes defining the security for an RSC scheme and proving its security under the bilinear Diffie-Hellman (BDH) hardness assumption. Implementing our proposed scheme on real data from trending YouTube video statistics, we found that RSC significantly outperforms existing methods, achieving 100 times faster speed and reducing communication costs by half compared to RDIC methods. Notably, even with 5 MB of outsourced data, RSC keeps the communication cost under 8 kB during data recovery, a substantial improvement over classical signcryption methods that require over 5 MB. © 2014 IEEE.

Keyword:

Cloud security

Community:

  • [ 1 ] [Ali, Mohammad]Amirkabir University of Technology, Department of Mathematics and Computer Science, Tehran; 159163-4311, Iran
  • [ 2 ] [Liu, Ximeng]Fuzhou University, Key Laboratory of Information Security of Network Systems, College of Computer and Data Science, Fuzhou; 350108, China

Reprint 's Address:

Email:

Show more details

Related Keywords:

Source :

IEEE Internet of Things Journal

Year: 2024

Issue: 24

Volume: 11

Page: 41207-41222

8 . 2 0 0

JCR@2023

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

Affiliated Colleges:

Online/Total:109/10045039
Address:FZU Library(No.2 Xuyuan Road, Fuzhou, Fujian, PRC Post Code:350116) Contact Us:0591-22865326
Copyright:FZU Library Technical Support:Beijing Aegean Software Co., Ltd. 闽ICP备05005463号-1