CONCEPTUAL FRAMEWORK FOR LIGHTWEIGHT CIPHERTEXT POLICY-ATTRIBUTE BASED ENCRYPTION SCHEME FOR INTERNET OF THINGS DEVICES

2019 ◽  
Vol 4 (1) ◽  
pp. 237
Author(s):  
Nurhidayah Muhammad ◽  
Jasni Mohamad Zain
Keyword(s):  
Data Security ◽  
Group Communication ◽  
The Internet ◽  
Lightweight Cryptography ◽  
Small Group Communication ◽  
Attribute Based Encryption ◽  
Hash Algorithm ◽  
Iot Devices ◽  
Ciphertext Policy ◽  
Internet Of Thing

The purpose of this paper is to propose a conceptual model for data security in the Internet of thing devices. Estimated by Jumoki in early 2018 to 2022, there will be about 18 billion connected IoT devices. Therefore many issue related to IoT devices were discussed especially data security. Cryptography with lightweight features is one of the focus area by researchers to develop a powerful cryptography scheme for IoT devices. Lightweight cryptography scheme has been discussed and proposed widely recently. There are AES, PRESENT, Hash algorithm declared as a lightweight algorithm under consideration in ISO/IEC 29192 “Lightweight Cryptography”. Unfortunately these lightweight algorithm is one-to-one communication cryptography technique. This algorithm is very practical to implement for individuals or for small group communication but unpractical when implemented in a big company where many users can become a bottleneck. Therefore we propose a lightweight Ciphertext Policy-Attribute Based Encryption (CP-ABE) algorithm to implement in IoT devices. CP-ABE algorithm is one-to-many technique suitable for secure grouping communication, but this algorithm is not a lightweight feature. Therefore this paper proposes a lightweight CP-ABE algorithm for IoT devices.  

An Efficient Ciphertext-Policy Weighted Attribute-Based Encryption for the Internet of Health Things

2021 ◽  
pp. 1-1
Author(s):  
Hang Li ◽  
Keping Yu ◽  
Bin Liu ◽  
Chaosheng Feng ◽  
Zhiguang Qin ◽  
...  
Keyword(s):  
The Internet ◽  
Attribute Based Encryption ◽  
Ciphertext Policy

scholarly journals Ciphertext-policy attribute-based encryption with hidden sensitive policy from keyword search techniques in smart city

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Fei Meng ◽  
Leixiao Cheng ◽  
Mingqiang Wang
Keyword(s):  
Smart City ◽  
Keyword Search ◽  
Sensitive Information ◽  
Security Model ◽  
Computational Overhead ◽  
Diffie Hellman ◽  
Attribute Based Encryption ◽  
Iot Devices ◽  
Ciphertext Policy ◽  
Access Policies

AbstractCountless data generated in Smart city may contain private and sensitive information and should be protected from unauthorized users. The data can be encrypted by Attribute-based encryption (CP-ABE), which allows encrypter to specify access policies in the ciphertext. But, traditional CP-ABE schemes are limited because of two shortages: the access policy is public i.e., privacy exposed; the decryption time is linear with the complexity of policy, i.e., huge computational overheads. In this work, we introduce a novel method to protect the privacy of CP-ABE scheme by keyword search (KS) techniques. In detail, we define a new security model called chosen sensitive policy security: two access policies embedded in the ciphertext, one is public and the other is sensitive and hidden. If user's attributes don't satisfy the public policy, he/she cannot get any information (attribute name and its values) of the hidden one. Previous CP-ABE schemes with hidden policy only work on the “AND-gate” access structure or their ciphertext size or decryption time maybe super-polynomial. Our scheme is more expressive and compact. Since, IoT devices spread all over the smart city, so the computational overhead of encryption and decryption can be shifted to third parties. Therefore, our scheme is more applicable to resource-constrained users. We prove our scheme to be selective secure under the decisional bilinear Diffie-Hellman (DBDH) assumption.

Encryption Principles and Techniques for the Internet of Things

2019 ◽  
pp. 42-66
Author(s):  
Kundankumar Rameshwar Saraf ◽  
Malathi P. Jesudason
Keyword(s):  
Internet Of Things ◽  
Embedded System ◽  
Security Analysis ◽  
Block Size ◽  
The Internet ◽  
Lightweight Cryptography ◽  
Execution Speed ◽  
Security Algorithm ◽  
Iot Devices ◽  
The Internet Of Things

This chapter explores the encryption techniques used for the internet of things (IoT). The security algorithm used for IoT should follow many constraints of an embedded system. Hence, lightweight cryptography is an optimum security solution for IoT devices. This chapter mainly describes the need for security in IoT, the concept of lightweight cryptography, and various cryptographic algorithms along with their shortcomings given IoT. This chapter also describes the principle of operation of all the above algorithms along with their security analysis. Moreover, based on the algorithm size (i.e., the required number of gate equivalent, block size, key size, throughput, and execution speed of the algorithm), the chapter reports the comparative analysis of their performance. The chapter discusses the merits and demerits of these algorithms along with their use in the IoT system.

Data Security for Cloud Datasets With Bloom Filters on Ciphertext Policy Attribute Based Encryption

2019 ◽  
Vol 13 (4) ◽  
pp. 12-27
Author(s):  
G. Sravan Kumar ◽  
A. Sri Krishna
Keyword(s):  
Access Control ◽  
Data Storage ◽  
Private Information ◽  
Data Security ◽  
Bloom Filters ◽  
Communication Overhead ◽  
Access Policy ◽  
Fine Grained ◽  
Attribute Based Encryption ◽  
Ciphertext Policy

Cloud data storage environments allow the data providers to store and share large amounts of datasets generated from various resources. However, outsourcing private data to a cloud server is insecure without an efficient access control strategy. Thus, it is important to protect the data and privacy of user with a fine-grained access control policy. In this article, a Bloom Filter-based Ciphertext-Policy Attribute-Based Encryption (BF-CP-ABE) technique is presented to provide data security to cloud datasets with a Linear Secret Sharing Structure (LSSS) access policy. This fine-grained access control scheme hides the whole attribute set in the ciphertext, whereas in previous CP-ABE methods, the attributes are partially hidden in the ciphertext which in turn leaks private information about the user. Since the attribute set of the BF-CP-ABE technique is hidden, bloom filters are used to identify the authorized users during data decryption. The BF-CP-ABE technique is designed to be selective secure under an Indistinguishable-Chosen Plaintext attack and the simulation results show that the communication overhead is significantly reduced with the adopted LSSS access policy.

scholarly journals Lightweight Cryptography Algorithms for IOT Devices

2021 ◽  
Vol 9 (VI) ◽  
pp. 1678-1683
Author(s):  
Vasireddy Vennela
Keyword(s):  
Internet Of Things ◽  
Advanced Encryption Standard ◽  
The Internet ◽  
Symmetric Encryption ◽  
Lightweight Cryptography ◽  
Limited Energy ◽  
Sophisticated Method ◽  
Computationally Expensive ◽  
Iot Devices ◽  
The Internet Of Things

Lightweight cryptography is a new concept for securing data more effectively while using fewer resources and providing greater throughput, conservatism, and low battery consumption. Every fraction second, the Internet of Things (IoT), which connects billions of objects, generates massive amounts of data. As the number of devices grows, so does the amount of data generated, and the security of that data becomes a concern. In IoT architecture, gadgets are essentially smaller and low-powered. Because of their complexity, traditional encryption methods are computationally expensive and take many rounds to encrypt, basically wasting the limited energy of IoT devices. However, a less sophisticated method may jeopardise the intended fidelity. There are various lightweight cryptography techniques available, and we choose one of the symmetric encryption techniques known as Advanced Encryption Standard (AES). The speed of this algorithm is six times that of triple DES.

scholarly journals Survey on Revocation in Ciphertext-Policy Attribute-Based Encryption

Sensors ◽  
2019 ◽  
Vol 19 (7) ◽  
pp. 1695 ◽  
Author(s):  
Al-Dahhan ◽  
Shi ◽  
Lee ◽  
Kifayat
Keyword(s):  
Computational Cost ◽  
Sensitive Data ◽  
Resource Limited ◽  
Attribute Based Encryption ◽  
Wide Range ◽  
Secure Cloud Storage ◽  
Iot Devices ◽  
Ciphertext Policy ◽  
Cryptographic Techniques ◽  
High Computational Cost

Recently, using advanced cryptographic techniques to process, store, and share datasecurely in an untrusted cloud environment has drawn widespread attention from academicresearchers. In particular, Ciphertext‐Policy Attribute‐Based Encryption (CP‐ABE) is a promising,advanced type of encryption technique that resolves an open challenge to regulate fine‐grainedaccess control of sensitive data according to attributes, particularly for Internet of Things (IoT)applications. However, although this technique provides several critical functions such as dataconfidentiality and expressiveness, it faces some hurdles including revocation issues and lack ofmanaging a wide range of attributes. These two issues have been highlighted by many existingstudies due to their complexity which is hard to address without high computational cost affectingthe resource‐limited IoT devices. In this paper, unlike other survey papers, existing single andmultiauthority CP‐ABE schemes are reviewed with the main focus on their ability to address therevocation issues, the techniques used to manage the revocation, and comparisons among themaccording to a number of secure cloud storage criteria. Therefore, this is the first review paperanalysing the major issues of CP‐ABE in the IoT paradigm and explaining the existing approachesto addressing these issues.

Sign in / Sign up

Export Citation Format

Share Document