scholarly journals Authentication Protocol for Cloud Databases Using Blockchain Mechanism

Sensors ◽  
2019 ◽  
Vol 19 (20) ◽  
pp. 4444 ◽  
Author(s):  
Gaurav Deep ◽  
Rajni Mohana ◽  
Anand Nayyar ◽  
P. Sanjeevikumar ◽  
Eklas Hossain

Cloud computing has made the software development process fast and flexible but on the other hand it has contributed to increasing security attacks. Employees who manage the data in cloud companies may face insider attack, affecting their reputation. They have the advantage of accessing the user data by interacting with the authentication mechanism. The primary aim of this research paper is to provide a novel secure authentication mechanism by using Blockchain technology for cloud databases. Blockchain makes it difficult to change user login credentials details in the user authentication process by an insider. The insider is not able to access the user authentication data due to the distributed ledger-based authentication scheme. Activity of insider can be traced and cannot be changed. Both insider and outsider user’s are authenticated using individual IDs and signatures. Furthermore, the user access control on the cloud database is also authenticated. The algorithm and theorem of the proposed mechanism have been given to demonstrate the applicability and correctness.The proposed mechanism is tested on the Scyther formal system tool against denial of service, impersonation, offline guessing, and no replay attacks. Scyther results show that the proposed methodology is secure cum robust.

Sensors ◽  
2019 ◽  
Vol 19 (22) ◽  
pp. 4905 ◽  
Author(s):  
Rongxu Xu ◽  
Wenquan Jin ◽  
Dohyeun Kim

Internet of Things (IoT) devices are embedded with software, electronics, and sensors, and feature connectivity with constrained resources. They require the edge computing paradigm, with modular characteristics relying on microservices, to provide an extensible and lightweight computing framework at the edge of the network. Edge computing can relieve the burden of centralized cloud computing by performing certain operations, such as data storage and task computation, at the edge of the network. Despite the benefits of edge computing, it can lead to many challenges in terms of security and privacy issues. Thus, services that protect privacy and secure data are essential functions in edge computing. For example, the end user’s ownership and privacy information and control are separated, which can easily lead to data leakage, unauthorized data manipulation, and other data security concerns. Thus, the confidentiality and integrity of the data cannot be guaranteed and, so, more secure authentication and access mechanisms are required to ensure that the microservices are exposed only to authorized users. In this paper, we propose a microservice security agent to integrate the edge computing platform with the API gateway technology for presenting a secure authentication mechanism. The aim of this platform is to afford edge computing clients a practical application which provides user authentication and allows JSON Web Token (JWT)-based secure access to the services of edge computing. To integrate the edge computing platform with the API gateway, we implement a microservice security agent based on the open-source Kong in the EdgeX Foundry framework. Also to provide an easy-to-use approach with Kong, we implement REST APIs for generating new consumers, registering services, configuring access controls. Finally, the usability of the proposed approach is demonstrated by evaluating the round trip time (RTT). The results demonstrate the efficiency of the system and its suitability for real-world applications.


2015 ◽  
Vol 764-765 ◽  
pp. 858-862 ◽  
Author(s):  
Yung Cheng Lee ◽  
Pei Ju Lee

Due to the rapid growth of computer and communication technologies, people obtain variety of online services quickly. However, all networks are vulnerable to lots of security threats and attacks. The remote authentication scheme provides an efficient method to validate the remote users and servers. Ahirwal and Sonwanshi proposed a remote user authentication scheme with smart card in 2012. They indicated that Song’s smart card based password authentication protocol cannot resist the offline password guessing attack, insider attack, forward secrecy and denial of service attack. They proposed an ID-based authentication scheme to fix security flaws. The scheme uses one-way hash function and bitwise XOR operation such that the computation complexity is very low. However, in this article, we will show that their scheme cannot withstand the offline password guessing attack as they declared. An adversary can use the intercepted messages of two login sessions to obtain the password.


With the widespread popularity of the Internet of Things (IoT), different sectors-based applications are increasingly developed. One of the most popular application layer protocols is the Constrained Application Protocol (CoAP), and the necessity of ensuring data security in this layer is crucial. Moreover, attackers target the vulnerabilities of IoT to gain access to the system, which leads to a security threat and violate privacy. Typically, user authentication and data encryption are applied for securing data communication over a public channel between two or more participants. However, most of the existing solutions use cryptography for achieving security, with the exception of high computation cost. Hence, these solutions fail to satisfy the resource-constrained characteristics of IoT devices. Therefore, a lightweight security mechanism is required for achieving both secure transmission and better performance. This paper proposes a Lightweight Authentication with Two-way Encryption for Secure Transmission in CoAP Protocol (LATEST) that provides a secure transmission between the server and IoT devices. This mutual authentication mechanism uses ROT 18 Cipher with XoR operation and 128-bit AES based encryption for securing the data transmission. The ROT18 Cipher is a monoalphabetic substitution cipher, which is a combination of ROT13 and ROT5. The proposed scheme employs symmetric encryption in both client and server for ensuring secure authentication and mutually confirm each other identity. In addition, the proposed LATEST scheme ensures confidentiality and integrity by being resistant to replay attacks, impersonation attacks, and modification attacks. The experimental evaluation demonstrates that the proposed LATEST scheme is lightweight and provides better security compared to the existing scheme.


2020 ◽  
Vol 21 (3) ◽  
pp. 407-424
Author(s):  
Gaurav Deep ◽  
Jagpreet Sidhu ◽  
Rajni Mohana

Computing on the cloud has changed the working of mankind in every manner, from storing to fetching every information on the cloud. To protect data on the cloud various access procedures and policies are used such as authentication and authorization. Authentication means the intended user is access data on the cloud and authorization means the user is accessing only that data for which he is allowed. The intended user now also includes Cyber-Physical Devices. Cyber-Physical Devices share data between them, fetch data from cloud. Cloud data is managed by employees of cloud Companies. Persons sitting on the cloud managing companies data is always doubtful as so many insider attacks have happened in the past affecting the company Image in the market. Data Related to Cyber-Physical Space may come under Insider attack. Companies managing user data are also liable to protect user data from any type of attack under various sections of the Indian IT act. Work in this paper has proposed blockchain as a possible solution to track the activities of employees managing cloud. Employee authentication and authorization are managed through the blockchain server. User authentication related data is stored in blockchain. Authorization rules are written in any Role/Attribute-based access language. These authorization rules stores the data related to user requests allowed access to data in blockchain. Proposed work will help cloud companies to have better control over their employee’s activities, thus help in preventing insider attack on User and Cyber-Physical Devices.


Cloud storage enables user to store data and make it available when it is requested by user. Data generated electronically is very important and it must be encrypted to make sure that the data is tramper-proof. There are two important points to be considered, keyword guessing attack and making cloud storage secure from hackers. In Keyword guessing attack the Keywords search by user are encrypted using secure mechanism and securing the cloud storage means use such techniques which assured to give Confidentiality, Integrity and Accessibility using Blockchain Technology. It is decentralized cloud storage which assist different security mechanisms to protect data. Decentralized cloud storage is itself secure than centralized cloud storage. Because the concept of decentralized is not to store data on single storage device but to store on multiple servers. While storing the data on different location it divided into small parts, and at the time of retrieving data it is available as a complete single block of original data. Whereas in centralized cloud storage data is stored on single storage device. As technology progress the risk from fraudulent users also increases. For this reason, we need some encryption, decryption and authentication mechanism to verify user and if it is authenticated allow access to use its data. There are some techniques also available where user made request on cloud server to receive data which makes cloud server to learn keywords except resulting data. In this paper we make an attempt to review encryption and decryption for cloud storage using blockchain technology to improve security of data.


Author(s):  
Yang Gao ◽  
Yincheng Jin ◽  
Jagmohan Chauhan ◽  
Seokmin Choi ◽  
Jiyang Li ◽  
...  

With the rapid growth of wearable computing and increasing demand for mobile authentication scenarios, voiceprint-based authentication has become one of the prevalent technologies and has already presented tremendous potentials to the public. However, it is vulnerable to voice spoofing attacks (e.g., replay attacks and synthetic voice attacks). To address this threat, we propose a new biometric authentication approach, named EarPrint, which aims to extend voiceprint and build a hidden and secure user authentication scheme on earphones. EarPrint builds on the speaking-induced body sound transmission from the throat to the ear canal, i.e., different users will have different body sound conduction patterns on both sides of ears. As the first exploratory study, extensive experiments on 23 subjects show the EarPrint is robust against ambient noises and body motions. EarPrint achieves an Equal Error Rate (EER) of 3.64% with 75 seconds enrollment data. We also evaluate the resilience of EarPrint against replay attacks. A major contribution of EarPrint is that it leverages two-level uniqueness, including the body sound conduction from the throat to the ear canal and the body asymmetry between the left and the right ears, taking advantage of earphones' paring form-factor. Compared with other mobile and wearable biometric modalities, EarPrint is a low-cost, accurate, and secure authentication solution for earphone users.


2022 ◽  
Vol 16 (1) ◽  
pp. 0-0

Secure and efficient authentication mechanism becomes a major concern in cloud computing due to the data sharing among cloud server and user through internet. This paper proposed an efficient Hashing, Encryption and Chebyshev HEC-based authentication in order to provide security among data communication. With the formal and the informal security analysis, it has been demonstrated that the proposed HEC-based authentication approach provides data security more efficiently in cloud. The proposed approach amplifies the security issues and ensures the privacy and data security to the cloud user. Moreover, the proposed HEC-based authentication approach makes the system more robust and secured and has been verified with multiple scenarios. However, the proposed authentication approach requires less computational time and memory than the existing authentication techniques. The performance revealed by the proposed HEC-based authentication approach is measured in terms of computation time and memory as 26ms, and 1878bytes for 100Kb data size, respectively.


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