PMTER-ABE: a practical multi-authority CP-ABE with traceability, revocation and outsourcing decryption for secure access control in cloud systems

撤销 计算机科学 可追溯性 访问控制 云计算 外包 计算机安全 加密 数据库 保密 密码学 密码系统 前向保密 公钥密码术 操作系统 软件工程 架空(工程) 法学 政治学
作者
Kamalakanta Sethi,Ankit Pradhan,Padmalochan Bera
出处
期刊:Cluster Computing [Springer Nature]
卷期号:24 (2): 1525-1550 被引量:28
标识
DOI:10.1007/s10586-020-03202-2
摘要

Attribute-based encryption (ABE) has evolved as an efficient and secure method for storage of data with fine-grained access control in cloud platforms. In recent years, increasing diversification in the design of ABE schemes has led to significant research in the assimilation of properties like traceability, revocation, and outsourcing decryption. However, most of the recent ABE schemes incorporate few of these properties and hence lack in robustness to adapt with varying demands of cloud systems. In modern ABE designs, the notions of forward and backward secrecy have been introduced to accommodate the delegation of a large number of heterogeneous users in the system. In general, these features are realized under the concept of user revocation. On the other hand, to control malicious users in the system, it is necessary to implement traceability in integration with user revocation. Finally, for resource-constrained users, outsourcing decryption to proxy servers is a viable option. Thus, we propose PMTER-ABE, a practical decentralized multi-authority traceable and efficiently revocable attribute-based cryptosystem with outsourcing decryption advantage. The key features of our cryptosystem are (i) incorporating large attribute universe with highly expressive policies, (ii) integrating forward and backward secrecy under user revocation, (iii) implementing white-box traceability to detect malicious users, and (iv) outsourcing decryption to reduce the computational overhead of decryption on users. We present the formal proofs for correctness, security, and traceability of PMTER-ABE along with performance analysis. The efficiency and usability of PMTER-ABE is shown with practical implementation and experimental results.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
langzi完成签到,获得积分10
1秒前
haifang完成签到,获得积分10
1秒前
大个应助zhui采纳,获得10
1秒前
哎呀完成签到 ,获得积分10
2秒前
3秒前
哈哈哈哈发布了新的文献求助10
3秒前
3秒前
Wang完成签到,获得积分10
3秒前
请叫我风吹麦浪应助kevin采纳,获得20
4秒前
4秒前
4秒前
吃点水果保护局完成签到 ,获得积分10
5秒前
gs完成签到,获得积分10
5秒前
Xyyy完成签到,获得积分10
5秒前
6秒前
白石杏完成签到,获得积分10
8秒前
ll200207完成签到,获得积分10
9秒前
凶狠的乐巧完成签到,获得积分10
9秒前
Lin发布了新的文献求助10
10秒前
三七发布了新的文献求助10
10秒前
10秒前
鸣隐发布了新的文献求助10
10秒前
11秒前
11秒前
软豆皮完成签到,获得积分10
11秒前
lan完成签到,获得积分10
12秒前
英姑应助松松果采纳,获得10
12秒前
13秒前
13秒前
13秒前
13秒前
chillin发布了新的文献求助10
14秒前
zhui发布了新的文献求助10
14秒前
薪炭林完成签到,获得积分10
15秒前
Rrr发布了新的文献求助10
15秒前
15秒前
SCISSH完成签到 ,获得积分10
15秒前
FEI发布了新的文献求助10
16秒前
科研通AI5应助奔奔采纳,获得10
17秒前
星辰大海应助八八采纳,获得20
17秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527884
求助须知:如何正确求助?哪些是违规求助? 3108006
关于积分的说明 9287444
捐赠科研通 2805757
什么是DOI,文献DOI怎么找? 1540033
邀请新用户注册赠送积分活动 716904
科研通“疑难数据库(出版商)”最低求助积分说明 709794