scholarly journals A Secure IoT-Based Authentication System in Cloud Computing Environment

Sensors ◽  
2020 ◽  
Vol 20 (19) ◽  
pp. 5604
Author(s):  
Hsiao-Ling Wu ◽  
Chin-Chen Chang ◽  
Yao-Zhu Zheng ◽  
Long-Sheng Chen ◽  
Chih-Cheng Chen
Keyword(s):  
Cloud Computing ◽  
Mutual Authentication ◽  
Authentication Scheme ◽  
Security Requirements ◽  
The Internet ◽  
Computing Environment ◽  
Cloud Computing Environment ◽  
Authentication System ◽  
Lightweight Authentication ◽  
The Internet Of Things

The Internet of Things (IoT) is currently the most popular field in communication and information techniques. However, designing a secure and reliable authentication scheme for IoT-based architectures is still a challenge. In 2019, Zhou et al. showed that schemes pro-posed by Amin et al. and Maitra et al. are vulnerable to off-line guessing attacks, user tracking attacks, etc. On this basis, a lightweight authentication scheme based on IoT is proposed, and an authentication scheme based on IoT is proposed, which can resist various types of attacks and realize key security features such as user audit, mutual authentication, and session security. However, we found weaknesses in the scheme upon evaluation. Hence, we proposed an enhanced scheme based on their mechanism, thus achieving the security requirements and resisting well-known attacks.

scholarly journals An Enhanced Lightweight IoT-based Authentication Scheme in Cloud Computing Circumstances

Sensors ◽  
2019 ◽  
Vol 19 (9) ◽  
pp. 2098 ◽  
Author(s):  
Rafael Martínez-Peláez ◽  
Homero Toral-Cruz ◽  
Jorge R. Parra-Michel ◽  
Vicente García ◽  
Luis J. Mena ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Key Agreement ◽  
Mutual Authentication ◽  
Authentication Scheme ◽  
Security Requirements ◽  
The Internet ◽  
Authentication Protocols ◽  
Security Vulnerabilities ◽  
Rapid Deployment ◽  
The Internet Of Things

With the rapid deployment of the Internet of Things and cloud computing, it is necessary to enhance authentication protocols to reduce attacks and security vulnerabilities which affect the correct performance of applications. In 2019 a new lightweight IoT-based authentication scheme in cloud computing circumstances was proposed. According to the authors, their protocol is secure and resists very well-known attacks. However, when we evaluated the protocol we found some security vulnerabilities and drawbacks, making the scheme insecure. Therefore, we propose a new version considering login, mutual authentication and key agreement phases to enhance the security. Moreover, we include a sub-phase called evidence of connection attempt which provides proof about the participation of the user and the server. The new scheme achieves the security requirements and resists very well-known attacks, improving previous works. In addition, the performance evaluation demonstrates that the new scheme requires less communication-cost than previous authentication protocols during the registration and login phases.

scholarly journals A Secure Lightweight Three-Factor Authentication Scheme for IoT in Cloud Computing Environment

Sensors ◽  
2019 ◽  
Vol 19 (16) ◽  
pp. 3598 ◽  
Author(s):  
SungJin Yu ◽  
KiSung Park ◽  
YoungHo Park
Keyword(s):  
Cloud Computing ◽  
Mutual Authentication ◽  
Internet Security ◽  
Authentication Scheme ◽  
Sensitive Information ◽  
Computing Environment ◽  
Session Key ◽  
Cloud Computing Environment ◽  
Smart Healthcare ◽  
Three Factor

With the development of cloud computing and communication technology, users can access the internet of things (IoT) services provided in various environments, including smart home, smart factory, and smart healthcare. However, a user is insecure various types of attacks, because sensitive information is often transmitted via an open channel. Therefore, secure authentication schemes are essential to provide IoT services for legal users. In 2019, Pelaez et al. presented a lightweight IoT-based authentication scheme in cloud computing environment. However, we prove that Pelaez et al.’s scheme cannot prevent various types of attacks such as impersonation, session key disclosure, and replay attacks and cannot provide mutual authentication and anonymity. In this paper, we present a secure and lightweight three-factor authentication scheme for IoT in cloud computing environment to resolve these security problems. The proposed scheme can withstand various attacks and provide secure mutual authentication and anonymity by utilizing secret parameters and biometric. We also show that our scheme achieves secure mutual authentication using Burrows–Abadi–Needham logic analysis. Furthermore, we demonstrate that our scheme resists replay and man-in-the-middle attacks usingthe automated validation of internet security protocols and applications (AVISPA) simulation tool. Finally, we compare the performance and the security features of the proposed scheme with some existing schemes. Consequently, we provide better safety and efficiency than related schemes and the proposed scheme is suitable for practical IoT-based cloud computing environment.

Security of Cloud Computing Lightweight Authentication Protocol

2013 ◽  
Vol 284-287 ◽  
pp. 3502-3506 ◽  
Author(s):  
Shu Ching Wang ◽  
Wen Pin Liao ◽  
Kuo Qin Yan ◽  
Shun Sheng Wang ◽  
Szu Hao Tsai
Keyword(s):  
Cloud Computing ◽  
Data Centers ◽  
Authentication Protocol ◽  
Communication Security ◽  
The Internet ◽  
Computing Environment ◽  
Cloud Computing Environment ◽  
Network Bandwidth ◽  
Information And Communication ◽  
Lightweight Authentication

Nowadays, network bandwidth and hardware technology are developing rapidly, resulting in the vigorous development of the Internet. However, cloud computing, an Internet-based development in which dynamically scalable and often virtualized resources are provided as a service over the Internet has become a significant issue. According to the characteristics of cloud computing, there are a lot of applications and data centers in the cloud-computing environment, hence, the issues of information and communication security and authentication must to be considered. However, the most of the studies on the security and authentication require large amounts of computing resource; therefore not suitable for the cloud-computing environment. In this paper, a lightweight computing protocol, Lightweight Authentication Protocol (LAP), is proposed to enhance the security of cloud computing environment and provide the authentication of service.

Rotating behind Privacy: An Improved Lightweight Authentication Scheme for Cloud-based IoT Environment

2021 ◽  
Vol 21 (3) ◽  
pp. 1-19
Author(s):  
Shehzad Ashraf Chaudhry ◽  
Azeem Irshad ◽  
Khalid Yahya ◽  
Neeraj Kumar ◽  
Mamoun Alazab ◽  
...  
Keyword(s):  
Mutual Authentication ◽  
Authentication Scheme ◽  
Security Requirements ◽  
User Privacy ◽  
Registered User ◽  
Authentication Schemes ◽  
A Minor ◽  
Lightweight Authentication ◽  
Privacy And Anonymity ◽  
The Internet Of Things

The advancements in the internet of things (IoT) require specialized security protocols to provide unbreakable security along with computation and communication efficiencies. Moreover, user privacy and anonymity has emerged as an integral part, along with other security requirements. Unfortunately, many recent authentication schemes to secure IoT-based systems were either proved as vulnerable to different attacks or prey of inefficiencies. Some of these schemes suffer from a faulty design that happened mainly owing to undue emphasis on privacy and anonymity alongside performance efficiency. This article aims to show the design faults by analyzing a very recent hash functions-based authentication scheme for cloud-based IoT systems with misunderstood privacy cum efficiency tradeoff owing to an unadorned design flaw, which is also present in many other such schemes. Precisely, it is proved in this article that the scheme of Wazid et al. cannot provide mutual authentication and key agreement between a user and a sensor node when there exists more than one registered user. We then proposed an improved scheme and proved its security through formal and informal methods. The proposed scheme completes the authentication cycle with a minor increase in computation cost but provides all security goals along with privacy.

scholarly journals An Enhanced User Authentication Protocol Based on Elliptic Curve Cryptosystem in Cloud Computing Environment

2018 ◽  
Vol 2018 ◽  
pp. 1-13 ◽  
Author(s):  
Chenyu Wang ◽  
Ke Ding ◽  
Bin Li ◽  
Yiming Zhao ◽  
Guoai Xu ◽  
...  
Keyword(s):  
Cloud Computing ◽  
User Authentication ◽  
Limited Resource ◽  
Authentication Scheme ◽  
Security Requirements ◽  
Cloud Environment ◽  
Computing Environment ◽  
Dictionary Attack ◽  
Cloud Computing Environment ◽  
User Authentication Scheme

With the popularity of cloud computing, information security issues in the cloud environment are becoming more and more prominent. As the first line of defense to ensure cloud computing security, user authentication has attracted extensive attention. Though considerable efforts have been paid for a secure and practical authentication scheme in cloud computing environment, most attempts ended in failure. The design of a secure and efficient user authentication scheme for cloud computing remains a challenge on the one hand and user’s smart card or mobile devices are of limited resource; on the other hand, with the combination of cloud computing and the Internet of Things, applications in cloud environments often need to meet various security requirements and are vulnerable to more attacks. In 2018, Amin et al. proposed an enhanced user authentication scheme in cloud computing, hoping to overcome the identified security flaws of two previous schemes. However, after a scrutinization of their scheme, we revealed that it still suffers from the same attacks (such as no user anonymity, no forward secrecy, and being vulnerable to offline dictionary attack) as the two schemes they compromised. Consequently, we take the scheme of Amin et al. (2018) as a study case, we discussed the inherent reason and the corresponding solutions to authentication schemes for cloud computing environment in detail. Next, we not only proposed an enhanced secure and efficient scheme, but also explained the design rationales for a secure cloud environment protocol. Finally, we applied BAN logic and heuristic analysis to show the security of the protocol and compared our scheme with related schemes. The results manifest the superiority of our scheme.

scholarly journals Opportunities and Challenges of Data Migration in Cloud

2021 ◽  
Vol 9 (1) ◽  
pp. 41-50
Author(s):  
Ruhul Amin ◽  
Siddhartha Vadlamudi
Keyword(s):  
Cloud Computing ◽  
Impact Analysis ◽  
Academic Research ◽  
Security Requirements ◽  
Data Migration ◽  
Cloud Provider ◽  
Computing Environment ◽  
Cloud Computing Environment ◽  
Cloud Data ◽  
Cloud Migration

Cloud data migration is the process of moving data, localhost applications, services, and data to the distributed cloud processing framework. The success of this data migration measure is relying upon a few viewpoints like planning and impact analysis of existing enterprise systems. Quite possibly the most widely recognized process is moving locally stored data in a public cloud computing environment. Cloud migration comes along with both challenges and advantages, so there are different academic research and technical applications on data migration to the cloud that will be discussed throughout this paper. By breaking down the research achievement and application status, we divide the existing migration techniques into three strategies as indicated by the cloud service models essentially. Various processes should be considered for different migration techniques, and various tasks will be included accordingly. The similarities and differences between the migration strategies are examined, and the challenges and future work about data migration to the cloud are proposed. This paper, through a research survey, recognizes the key benefits and challenges of migrating data into the cloud. There are different cloud migration procedures and models recommended to assess the presentation, identifying security requirements, choosing a cloud provider, calculating the expense, and making any essential organizational changes. The results of this research paper can give a roadmap for data migration and can help decision-makers towards a secure and productive migration to a cloud computing environment.

Virtual Machine Placement Using Statistical Mechanism in Cloud Computing Environment

2018 ◽  
Vol 9 (3) ◽  
pp. 23-31
Author(s):  
Narander Kumar ◽  
Surendra Kumar
Keyword(s):  
Resource Allocation ◽  
Cloud Computing ◽  
Virtual Machine ◽  
Minimum Cost ◽  
Virtual Machine Placement ◽  
The Internet ◽  
Computing Environment ◽  
Assignment Problems ◽  
Cloud Computing Environment ◽  
Statistical Mechanism

The internet has become essential and is the basis of cloud computing and will continue to be in the future. Best resource allocation is a process of placing the resources at their minimum cost/time and minimizes the load to a virtual machine. In this article, the authors propose an algorithm to optimize assignment problems and get the best placements in the resources to maintain the load on the virtual machine. Further, they also make comparisons between various optimization mechanisms for assignment problems, which is formulated for the cloud in virtual machine placement.

scholarly journals Task Scheduling Algorithms in Cloud Computing: A Review

2021 ◽  
Vol 12 (4) ◽  
pp. 1041-1053
Author(s):  
Ibrahim Mahmood Ibrahim, Et. al.
Keyword(s):  
Cloud Computing ◽  
Task Scheduling ◽  
Completion Time ◽  
Scheduling Algorithms ◽  
Task Completion ◽  
The Internet ◽  
Computing Environment ◽  
Cloud Computing Environment

Cloud computing is the requirement based on clients and provides many resources that aim to share it as a service through the internet. For optimal use, Cloud computing resources such as storage, application, and other services need managing and scheduling these services. The principal idea behind the scheduling is to minimize loss time, workload, and maximize throughput. So, the scheduling task is essential to achieve accuracy and correctness on task completion. This paper gives an idea about various task scheduling algorithms in the cloud computing environment used by researchers. Finally, many authors applied different parameters like completion time, throughput, and cost to evaluate the system.

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