A Secure and Verifiable Outsourced Access Control Scheme in Fog-Cloud Computing

نویسندگان

  • Kai Fan
  • Junxiong Wang
  • Xin Wang
  • Hui Li
  • Yintang Yang
چکیده

With the rapid development of big data and Internet of things (IOT), the number of networking devices and data volume are increasing dramatically. Fog computing, which extends cloud computing to the edge of the network can effectively solve the bottleneck problems of data transmission and data storage. However, security and privacy challenges are also arising in the fog-cloud computing environment. Ciphertext-policy attribute-based encryption (CP-ABE) can be adopted to realize data access control in fog-cloud computing systems. In this paper, we propose a verifiable outsourced multi-authority access control scheme, named VO-MAACS. In our construction, most encryption and decryption computations are outsourced to fog devices and the computation results can be verified by using our verification method. Meanwhile, to address the revocation issue, we design an efficient user and attribute revocation method for it. Finally, analysis and simulation results show that our scheme is both secure and highly efficient.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

SESOS: A Verifiable Searchable Outsourcing Scheme for Ordered Structured Data in Cloud Computing

While cloud computing is growing at a remarkable speed, privacy issues are far from being solved. One way to diminish privacy concerns is to store data on the cloud in encrypted form. However, encryption often hinders useful computation cloud services. A theoretical approach is to employ the so-called fully homomorphic encryption, yet the overhead is so high that it is not considered a viable s...

متن کامل

Security Challenges in Fog Computing in Healthcare

Background and Aim: The Fog Computing is a highly virtualized platform that provides storage, computing and networking services between the Cloud data centers and end devices. Fog computing fits the characteristics of real-time health monitoring systems. In such systems, a large amount of data is acquired from a multitude of bio and environmental sensors. On the other hand, its distribution and...

متن کامل

A Mobile and Fog-based Computing Method to Execute Smart Device Applications in a Secure Environment

With the rapid growth of smart device and Internet of things applications, the volume of communication and data in networks have increased. Due to the network lag and massive demands, centralized and traditional cloud computing architecture are not accountable to the high users' demands and not proper for execution of delay-sensitive and real time applications. To resolve these challenges, we p...

متن کامل

DoS-Resistant Attribute-Based Encryption in Mobile Cloud Computing with Revocation

Security and privacy are very important challenges for outsourced private data over cloud storages. By taking Attribute-Based Encryption (ABE) for Access Control (AC) purpose we use fine-grained AC over cloud storage. In this paper, we extend previous Ciphertext Policy ABE (CP-ABE) schemes especially for mobile and resource-constrained devices in a cloud computing environment in two aspects, a ...

متن کامل

Abe Enforced Triple Des with Outsourced Decryption in Cloud

Attribute-based encryption allow user to encrypt data using public-key then it decrypt data using private-key in the cloud. ABE provide the public-key one-to-many encryption. Access polices and user attributes are associated with private keys and ciphertexts. The drawbacks of the existing ABE schemes are that decryption involves expensive pairing operations, the number of such operations grows ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره 17  شماره 

صفحات  -

تاریخ انتشار 2017