scholarly journals Secure Outsourcing of Matrix Determinant Computation under the Malicious Cloud

Sensors ◽  
2021 ◽  
Vol 21 (20) ◽  
pp. 6821
Author(s):  
Mingyang Song ◽  
Yingpeng Sang
Keyword(s):  
Cloud Computing ◽  
Security Requirements ◽  
User Privacy ◽  
Original Matrix ◽  
Verification Method ◽  
Hardware Failure ◽  
Security Issues ◽  
Secure Outsourcing ◽  
Large Matrix ◽  
Column Permutation

Computing the determinant of large matrix is a time-consuming task, which is appearing more and more widely in science and engineering problems in the era of big data. Fortunately, cloud computing can provide large storage and computation resources, and thus, act as an ideal platform to complete computation outsourced from resource-constrained devices. However, cloud computing also causes security issues. For example, the curious cloud may spy on user privacy through outsourced data. The malicious cloud violating computing scripts, as well as cloud hardware failure, will lead to incorrect results. Therefore, we propose a secure outsourcing algorithm to compute the determinant of large matrix under the malicious cloud mode in this paper. The algorithm protects the privacy of the original matrix by applying row/column permutation and other transformations to the matrix. To resist malicious cheating on the computation tasks, a new verification method is utilized in our algorithm. Unlike previous algorithms that require multiple rounds of verification, our verification requires only one round without trading off the cheating detectability, which greatly reduces the local computation burden. Both theoretical and experimental analysis demonstrate that our algorithm achieves a better efficiency on local users than previous ones on various dimensions of matrices, without sacrificing the security requirements in terms of privacy protection and cheating detectability.

scholarly journals Efficient Multifactor Two-Server Authenticated Scheme under Mobile Cloud Computing

2018 ◽  
Vol 2018 ◽  
pp. 1-14 ◽  
Author(s):  
Ziyi Han ◽  
Li Yang ◽  
Shen Wang ◽  
Sen Mu ◽  
Qiang Liu
Keyword(s):  
Cloud Computing ◽  
Information Disclosure ◽  
Mobile Cloud Computing ◽  
User Authentication ◽  
High Reliability ◽  
Security Analysis ◽  
Security Requirements ◽  
Mobile Payment ◽  
Mobile Cloud ◽  
User Privacy

Because the authentication method based on username-password has the disadvantage of easy disclosure and low reliability and the excess password management degrades the user experience tremendously, the user is eager to get rid of the bond of the password in order to seek a new way of authentication. Therefore, the multifactor biometrics-based user authentication wins the favor of people with advantages of simplicity, convenience, and high reliability. Now the biometrics-based (especially the fingerprint information) authentication technology has been extremely mature, and it is universally applied in the scenario of the mobile payment. Unfortunately, in the existing scheme, biometric information is stored on the server side. As thus, once the server is hacked by attackers to cause the leakage of the fingerprint information, it will take a deadly threat to the user privacy. Aiming at the security problem due to the fingerprint information in the mobile payment environment, we propose a novel multifactor two-server authenticated scheme under mobile cloud computing (MTSAS). In the MTSAS, it divides the authentication method and authentication means; in the meanwhile, the user’s biometric characteristics cannot leave the user device. Thus, MTSAS avoids the fingerprint information disclosure, protects user privacy, and improves the security of the user data. In the same time, considering user actual requirements, different authentication factors depending on the privacy level of authentication are chosen. Security analysis proves that MTSAS has achieved the authentication purpose and met security requirements by the BAN logic. In comparison with other schemes, the result shows that MTSAS not only has the reasonable computational efficiency, but also keeps the superior communication cost.

scholarly journals An Intelligent and Secure Health Monitoring Scheme Using IoT Sensor Based on Cloud Computing

2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Jin-Xin Hu ◽  
Chin-Ling Chen ◽  
Chun-Long Fan ◽  
Kun-hao Wang
Keyword(s):  
Cloud Computing ◽  
Health Monitoring ◽  
Cloud Model ◽  
The Elderly ◽  
Security Requirements ◽  
Embedded Devices ◽  
Monitoring Scheme ◽  
Security Issues ◽  
Sensor Cloud ◽  
Cloud Servers

Internet of Things (IoT) is the network of physical objects where information and communication technology connect multiple embedded devices to the Internet for collecting and exchanging data. An important advancement is the ability to connect such devices to large resource pools such as cloud. The integration of embedded devices and cloud servers offers wide applicability of IoT to many areas of our life. With the aging population increasing every day, embedded devices with cloud server can provide the elderly with more flexible service without the need to visit hospitals. Despite the advantages of the sensor-cloud model, it still has various security threats. Therefore, the design and integration of security issues, like authentication and data confidentiality for ensuring the elderly’s privacy, need to be taken into consideration. In this paper, an intelligent and secure health monitoring scheme using IoT sensor based on cloud computing and cryptography is proposed. The proposed scheme achieves authentication and provides essential security requirements.

scholarly journals An Analysis of Cloud Computing Security Issues

2016 ◽  
pp. 212-217
Author(s):  
Baldev Singh
Keyword(s):  
Cloud Computing ◽  
Cloud Security ◽  
Cloud Services ◽  
Security Requirements ◽  
Hybrid Technique ◽  
Independent Manner ◽  
Cloud Computing Security ◽  
Security Issues ◽  
Effective Implementation ◽  
The Past

Cloud computing is one of the emerged technologies in the past decade. Tremendous growth is noticed in the usage and implementation of Cloud computing. Although cloud spectrum is widely popular still there are lot of challenges and issues to be addressed for its optimal usage. Vulnerabilities and threats to the cloud services leads to attacks and exploitation of resources as well as data breaches and privacy violations that need to be addressed at the cloud customer satisfaction level. This paper highlights different cloud security issues and their security requirements. The review aspects and findings of the paper can be used as a reference for further appropriate and effective implementation from the suggested practically viable cloud security solution in an independent manner or using as a hybrid technique.

Cloud Database Security Issues and Challenges

2019 ◽  
pp. 165-187 ◽  
Author(s):  
Ganesh Chandra Deka
Keyword(s):  
Cloud Computing ◽  
Database Security ◽  
Security Requirements ◽  
Markup Language ◽  
Organizational Boundaries ◽  
Nosql Databases ◽  
Security Issues ◽  
Cloud Database ◽  
It Enterprise

To get the desired benefits for the IT enterprise, NoSQL databases must be combined with proven and reliable SQL features into a single proven infrastructure meeting the manageability and security requirements of cloud computing. Various specifications, including SAML (Security Assertions Markup Language), improved interoperability across organizational boundaries are coming up. This chapter discuses some of the security issues of NoSQL databases. All the related technology used in the chapter are explained either where they appear or at the end of the chapter.

Analysis of Genomic Data in a Cloud Computing Environment

Big Data ◽  
2016 ◽  
pp. 1129-1158
Author(s):  
Philip Groth ◽  
Gerhard Reuter ◽  
Sebastian Thieme
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Genomic Data ◽  
Security Requirements ◽  
Use Case ◽  
Shared Resources ◽  
Security Issues ◽  
Business Partners ◽  
Short Time

A new trend for data analysis in the life sciences is Cloud computing, enabling the analysis of large datasets in short time. This chapter introduces Big Data challenges in the genomic era and how Cloud computing can be one feasible approach for solving them. Technical and security issues are discussed and a case study where Clouds are successfully applied to resolve computational bottlenecks in the analysis of genomic data is presented. It is an intentional outcome of this chapter that Cloud computing is not essential for analyzing Big Data. Rather, it is argued that for the optimized utilization of IT, it is required to choose the best architecture for each use case, either by security requirements, financial goals, optimized runtime through parallelization, or the ability for easier collaboration and data sharing with business partners on shared resources.

Analysis of Genomic Data in a Cloud Computing Environment

2015 ◽  
pp. 186-214
Author(s):  
Philip Groth ◽  
Gerhard Reuter ◽  
Sebastian Thieme
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Genomic Data ◽  
Security Requirements ◽  
Use Case ◽  
Shared Resources ◽  
Security Issues ◽  
Business Partners ◽  
Short Time

A new trend for data analysis in the life sciences is Cloud computing, enabling the analysis of large datasets in short time. This chapter introduces Big Data challenges in the genomic era and how Cloud computing can be one feasible approach for solving them. Technical and security issues are discussed and a case study where Clouds are successfully applied to resolve computational bottlenecks in the analysis of genomic data is presented. It is an intentional outcome of this chapter that Cloud computing is not essential for analyzing Big Data. Rather, it is argued that for the optimized utilization of IT, it is required to choose the best architecture for each use case, either by security requirements, financial goals, optimized runtime through parallelization, or the ability for easier collaboration and data sharing with business partners on shared resources.

scholarly journals New Efficient and Secured Authentication Protocol for Remote Healthcare Systems in Cloud-IoT

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Mourade Azrour ◽  
Jamal Mabrouki ◽  
Rajasekhar Chaganti
Keyword(s):  
Cloud Computing ◽  
Experimental Tests ◽  
Healthcare Systems ◽  
Authentication Scheme ◽  
Security Requirements ◽  
Large Network ◽  
Embedded Devices ◽  
Security Issues ◽  
Private Data ◽  
Remote Healthcare

Recently, Internet of Things and cloud computing are known to be emerged technologies in digital evolution. The first one is a large network used to interconnect embedded devices, while the second one refers to the possibility of offering infrastructure that can be used from anywhere and anytime. Due to their ability to provide remote services, IoT and cloud computing are actually integrated in various areas especially in the healthcare domain. However, the user private data such as health data must be secured by enhancing the authentication methods. Recently, Sharma and Kalra projected an authentication scheme for distant healthcare service-based cloud-IoT. Then, authors demonstrated that the proposed scheme is secure against various attacks. However, we prove in this paper that Sharma and Kalra’s protocol is prone to password guessing and smart card stolen attacks. Besides, we show that it has some security issues. For that reason, we propose an efficient and secured authentication scheme for remote healthcare systems in cloud-IoT. Then, we prove informally that our projected authentication scheme is secure against multiple attacks. Furthermore, the experimental tests done using Scyther tool show that our proposed scheme can withstand against known attacks as it ensures security requirements.

Cloud Computing Security Issues and Mechanisms

2011 ◽  
Vol 225-226 ◽  
pp. 706-709 ◽  
Author(s):  
Shu Guo Yang
Keyword(s):  
Cloud Computing ◽  
Ad Hoc ◽  
Rapid Development ◽  
Cloud Security ◽  
General Purpose ◽  
Security Requirements ◽  
Security Issue ◽  
Security Risks ◽  
Security Issues ◽  
Lower Cloud

Cloud computing is regarded as one of the most enticing technologies and potential silver bullet in the IT industry. Because of open condition and general-purpose nature of cloud, security issue is becoming a bottle neck of rapid development and broad application of cloud computing. Firstly, this paper addresses cloud customers’ significant concerns about and requirements of cloud security. Secondly, cloud security risks and threats posed by the pervasive and ad hoc nature of the cloud are comprehensively analyzed. Finally, some effective and dependable security mechanisms are proposed to lower cloud security risks and meet security requirements of cloud customers. Especially, a novel scheme for integrity and copyright protection of customers’ works in the cloud is presented based on digital watermarking and digital signature.

Cloud Database Security Issues and Challenges

2015 ◽  
pp. 153-173
Author(s):  
Ganesh Chandra Deka
Keyword(s):  
Cloud Computing ◽  
Database Security ◽  
Security Requirements ◽  
Markup Language ◽  
Organizational Boundaries ◽  
Nosql Databases ◽  
Security Issues ◽  
Cloud Database ◽  
It Enterprise

To get the desired benefits for the IT enterprise, NoSQL databases must be combined with proven and reliable SQL features into a single proven infrastructure meeting the manageability and security requirements of cloud computing. Various specifications, including SAML (Security Assertions Markup Language), improved interoperability across organizational boundaries are coming up. This chapter discuses some of the security issues of NoSQL databases. All the related technology used in the chapter are explained either where they appear or at the end of the chapter.

Security Issues of Cloud Computing and an Encryption Approach

2015 ◽  
pp. 1527-1547
Author(s):  
Miodrag J. Mihaljević ◽  
Hideki Imai
Keyword(s):  
Cloud Computing ◽  
Data Protection ◽  
General Framework ◽  
Data Access ◽  
Security Requirements ◽  
Security And Privacy ◽  
Public Cloud ◽  
Security Issues ◽  
Data Access Control ◽  
Privacy Issues

The main security and privacy issues of cloud computing as well as the related implications are addressed, and a general framework for achieving the goals is summarized. This chapter basically considers scientific and educational employment of a cloud as a particular instance of a public cloud and its security, and as a potentially specific issue, a request for a heavy minimization of the costs implied by security is pointed out. Consequently, the problem of minimization of the overheads implied by security/privacy mechanisms is addressed. The main security requirements are given as well as the main recommendations, providing a framework for the security management. As a particular issue, data protection is considered and significance of data access control and encryption are discussed. Accordingly, an illustrative approach for achieving lightweight and provable secure encryption is shown. The considered encryption is based on joint employment of cryptographic and coding methods.

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