A Partial Outsourcing Decryption of Attribute-Based Encryption for Internet of Things

被引:0
|
作者
Kumar, Dilip [1 ]
Kumar, Manoj [1 ]
机构
[1] Babasaheb Bhimaro Ambedkar Univ, Lucknow, Uttar Pradesh, India
来源
PROCEEDINGS OF ACADEMIA-INDUSTRY CONSORTIUM FOR DATA SCIENCE (AICDS 2020) | 2022年 / 1411卷
关键词
IoT; Attribute-based encryption; CP-ABE; Bilinear pairing; Secret sharing; CONSTANT-SIZE KEYS; CP-ABE; LIGHTWEIGHT; SCHEME;
D O I
10.1007/978-981-16-6887-6_22
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Internet of things (IoT) is a fast-growing technology in the modern digital era that attracts people from industries as well as academic fields. IoT provides the platform to connect all the devices to share data over the Internet. This emerging technology suffers from many security issues due to the heterogeneity of the environment and resource-constrained IoT devices. Attribute-based encryption (ABE) is a modern encryption scheme that provides security along with an access control mechanism. This technique is applied for secure communication among IoT devices over unsecured communication channels. The bilinear pairing operation is generally used for encryption and established sharing between parties. In this paper, outsourcing-based decryption of ABE using a three-party Diffie-Hellman key exchange protocol is proposed for the IoT environment where devices have limited computational and battery power. The main aim of the proposed scheme is to lessen the complexity of computation for the decryption operation of ABE for the resource-constrained devices of IoT.
引用
收藏
页码:271 / 281
页数:11
相关论文
共 50 条
  • [21] Revisiting Attribute-Based Encryption With Verifiable Outsourced Decryption
    Lin, Suqing
    Zhang, Rui
    Ma, Hui
    Wang, Mingsheng
    IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2015, 10 (10) : 2119 - 2130
  • [22] Puncturable Attribute-Based Encryption for Secure Data Delivery in Internet of Things
    Tran Viet Xuan Phuong
    Ning, Rui
    Xin, Chunsheng
    Wu, Hongyi
    IEEE CONFERENCE ON COMPUTER COMMUNICATIONS (IEEE INFOCOM 2018), 2018, : 1511 - 1519
  • [23] Revocation in attribute-based encryption for fog-enabled internet of things: A systematic survey
    Penuelas-Angulo, Alejandro
    Feregrino-Uribe, Claudia
    Morales-Sandoval, Miguel
    INTERNET OF THINGS, 2023, 23
  • [24] Efficient and robust attribute-based encryption supporting access policy hiding in Internet of Things
    Han, Qi
    Zhang, Yinghui
    Li, Hui
    FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2018, 83 : 269 - 277
  • [25] Attribute-Based Encryption With Parallel Outsourced Decryption for Edge Intelligent IoV
    Feng, Chaosheng
    Yu, Keping
    Aloqaily, Moayad
    Alazab, Mamoun
    Lv, Zhihan
    Mumtaz, Shahid
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2020, 69 (11) : 13784 - 13795
  • [26] Chosen Ciphertext Secure Attribute-Based Encryption with Outsourced Decryption
    Zuo, Cong
    Shao, Jun
    Wei, Guiyi
    Xie, Mande
    Ji, Min
    INFORMATION SECURITY AND PRIVACY, PT I, 2016, 9722 : 495 - 508
  • [27] Applying Attribute-based Encryption on Publish Subscribe Messaging Patterns for the Internet of Things
    Thatmann, Dirk
    Zickau, Sebastian
    Foerster, Alexander
    Kuepper, Axel
    2015 IEEE INTERNATIONAL CONFERENCE ON DATA SCIENCE AND DATA INTENSIVE SYSTEMS, 2015, : 556 - 563
  • [28] Multi-Authorization Center Attribute-Based Encryption Scheme Based on Internet of Things
    Hao, Xuan
    Li, Da
    Huang, Zhangqin
    Yang, Huapeng
    2024 9TH INTERNATIONAL CONFERENCE ON COMPUTER AND COMMUNICATION SYSTEMS, ICCCS 2024, 2024, : 254 - 259
  • [29] A novel chaotic hash-based attribute-based encryption and decryption on cloud computing
    Tamma, Lakshmi Naga Divya
    Ahamad, Shaik Shakeel
    INTERNATIONAL JOURNAL OF ELECTRONIC SECURITY AND DIGITAL FORENSICS, 2018, 10 (01) : 1 - 19
  • [30] fABElous: An Attribute-Based Scheme for Industrial Internet of Things
    La Manna, Michele
    Perazzo, Pericle
    Rasori, Marco
    Dini, Gianluca
    2019 IEEE INTERNATIONAL CONFERENCE ON SMART COMPUTING (SMARTCOMP 2019), 2019, : 33 - 38