scholarly journals SECURE VIDEO TRANSCODING IN MOBILE CLOUD COMPUTING

2018 ◽  
pp. 208-218
Author(s):  
Mohd Rizuan Baharon ◽  
Mohd Faizal Abdollah ◽  
Nur Azman Abu ◽  
Zaheera Zainal Abidin ◽  
Ariff Idris
Keyword(s):  
Cloud Storage ◽  
Mobile Cloud Computing ◽  
Homomorphic Encryption ◽  
Security And Privacy ◽  
Video Transcoding ◽  
Sensitive Information ◽  
Cloud Environment ◽  
Cloud Server ◽  
Video Security ◽  
Video Format

Video Transcoding is one of the recent services available online nowadays provided by the clouds to enable a user to convert a video format from one into another in a very convenient way. To transcode a video, all of the video contents need to be uploaded to the cloud storage. However, outsourcing video contents that may contain sensitive information do not guarantee the video security and privacy as the clouds have the ability to access them. Thus, in this paper, an enhanced homomorphic encryption scheme is proposed to allow massive amount of frames to be transcoded by the cloud server in a secure manner. This scheme encrypts integers rather than individual bits so as to improve the scheme’s efficiency. With the aid of a proposed process for multiple parties to communicate securely, the efficiency of the scheme is thoroughly evaluated and compared with related works. The result shows that our scheme offers much better efficiency, which makes it more suitable for operating the video transcoding in cloud environment.

scholarly journals Privacy Preserving Analytics in Outsourced Healthcare System

2020 ◽  
Vol 9 (9) ◽  
pp. 329-333
Keyword(s):  
Healthcare System ◽  
Cloud Storage ◽  
Learning Algorithm ◽  
Homomorphic Encryption ◽  
Digital Health ◽  
Health Data ◽  
Third Party ◽  
Sensitive Data ◽  
Data Intensive ◽  
Cloud Server

The most data intensive industry today is the healthcare system. The advancement in technology has revolutionized the traditional healthcare practices and led to enhanced E-Healthcare System. Modern healthcare systems generate voluminous amount of digital health data. These E-Health data are shared between patients and among groups of physicians and medical technicians for processing. Due to the demand for continuous availability and handling of these massive E-Health data, mostly these data are outsourced to cloud storage. Being cloud-based computing, the sensitive patient data is stored in a third-party server where data analytics are performed, hence more concern about security raises. This paper proposes a secure analytics system which preserves the privacy of patients’ data. In this system, before outsourcing, the data are encrypted using Paillier homomorphic encryption which allows computations to be performed over encrypted dataset. Then Decision Tree Machine Learning algorithm is used over this encrypted dataset to build the classifier model. This encrypted model is outsourced to cloud server and the predictions about patient’s health status is displayed to the user on request. In this system nowhere the data is decrypted throughout the process which ensures the privacy of patients’ sensitive data.

scholarly journals A Cloud Based Secure Voting System using Homomorphic Encryption for Android Platform

2016 ◽  
Vol 6 (6) ◽  
pp. 2994
Author(s):  
Manish Ranjan ◽  
Ayub Hussain Mondal ◽  
Monjul Saikia
Keyword(s):  
Service Provider ◽  
Cloud Storage ◽  
Homomorphic Encryption ◽  
Information Leakage ◽  
Third Party ◽  
Sensitive Information ◽  
Cipher Text ◽  
Cloud Storage Service ◽  
Android Platform ◽  
Voting System

<p>Cloud based service provider are at its top of its services for various applications, as their services are very much reachable from anywhere anytime in current days. It is responsibility of the company that the Cloud storage is owned and maintained by themselves keeping the data available and accessible, and the physical environment protected and running. Could storage provider seem to be uncertain of confidentiality in many cases, as we need to limit ourselves on trust to a third party. Keeping our sensitive data ready to access any time anywhere with preventing any information leakage is a challenging task. Cryptography in this scenario plays an important role, providing security for information to protect valuable information resources on intranets, Internet and the cloud. In addition, Homomorphic cryptosystem is a form of Cryptography where some specific computation can be performed over the cipher text producing a resultant cipher text which, when decrypted, equals the result of operations carry out on the plaintext. With help of this unique property of homomorphism cryptography we proposed a system to keep sensitive information in encrypted form in the cloud storage/service provider and used those data as whenever we require. The scheme proposed here is designed for a secure online voting system on Android platform and voted information is encrypted and stored those in the cloud.</p>

scholarly journals Data Secure Algorithm in Cloud Storage

2020 ◽  
Vol 9 (3) ◽  
pp. 2632-2635
Keyword(s):  
Cloud Storage ◽  
Control Measure ◽  
Security Analysis ◽  
Data Access ◽  
Bilinear Pairing ◽  
Cloud Environment ◽  
Security Issues ◽  
Data Access Control ◽  
Cloud Server ◽  
System States

The challenging task is protecting the data which are uploaded to the cloud becomes bigger worries in a cloud environment system. In this type of security is needed for monitoring of data access in a cloud environment and is getting more and more attention in recent days. Few strategies which can be afford for top-secret and an unknown authentication for delicate information and it is more efficient than doing the encrypting data first and then sign or doing the sign first then encrypting the data. However, in so many previous work, delicate information of data users can be reveal to authority, and only the authority is responsible to answer to that type of attribute management and generation of key in the system. The proposed system states that confidentiality and protective of data access control over the cipher text scheme based on cloud security. It is provide a control measure, attribute confidentiality and guard the data’s of user concurrently in a multiple authority cloud system. Both the attributes of designcryptor and signcryptor can be kept secret by not knowing to the authorities and cloud storage server. Besides, decryption in the clouds for users as becomes meaningfully reduced by outsourcing the unwanted bilinear pairing process to the cloud server without humiliating the attribute privacy. The planned scheme is confirmed for protecting the standard model and has the skill to provide top secret, unforged, unknown authentication, and verifiability of public. The security analysis which are relating to comparison of difficulty and results of execution will indicate that the proposed system has the capacity to balance the security issues with respect to computation in hypothetical efficiency.

scholarly journals Ensuring Efficient Data Storage using Fully Mature Homomorphic Encryption Technique in the Cloud Environment

2019 ◽  
Vol 8 (2) ◽  
pp. 5333-5342
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Homomorphic Encryption ◽  
Cloud Provider ◽  
Cloud Environment ◽  
Remote Site ◽  
Encrypted Data ◽  
Cloud Server ◽  
Efficient Data ◽  
Security Gap

In cloud computing, user database is stored at remote site instead of user computer’s hard disk where the connection between remote site and user computer is provided by internet connection. As cloud computing essentially places data outside the custody of owner of data, it inexorably hosts security disputes. The distance among the physical and the client location of data generates a barrier as the data can be accessed by an unauthorized party and this would influence the solitude of client’s data. The utilization of traditional encryption systems to encrypt the data prior to transmitting to the cloud provider has been most extensively utilized technique to link this security gap. Be that as it may, the customer will require offering the private key to the server to unscramble the information in front of playing out the figuring’s fundamental. Homomorphic encryption techniques permits computations on encrypted data devoid of decryption. This paper deals with the utilization of Fully Mature Homomorphic Encryption (FMHE) to encode the client’s data on cloud server and as well it facilitates to perform required computations on the encrypted data

scholarly journals Performance Evaluation of RSA-based Secure Cloud Storage Protocol using OpenStack

2021 ◽  
Vol 11 (4) ◽  
pp. 7321-7325
Author(s):  
M. F. Hyder ◽  
S. Tooba ◽  
. Waseemullah
Keyword(s):  
Cloud Storage ◽  
Performance Metrics ◽  
Homomorphic Encryption ◽  
Encryption Scheme ◽  
Cloud Environment ◽  
Computation Cost ◽  
Secure Storage ◽  
Secure Cloud Storage ◽  
Series Of Experiments ◽  
And Performance

In this paper, the implementation of the General Secure Cloud Storage Protocol is carried out and instantiated by a multiplicatively Homomorphic Encryption Scheme (HES). The protocol provides a system for secure storage of data over the cloud, thereby allowing the client to carry out the operational tasks on it efficiently. The work focuses on the execution of five major modules of the protocol. We also evaluate the performance of the protocol with respect to the computation cost of these modules on the basis of different security parameters and datasets by conducting a series of experiments. The cloud was built using OpenStack and the data were outsourced from the client’s system to the cloud to study the security features and performance metrics when adopting the cloud environment.

scholarly journals Privacy-Preserving IoT Data Aggregation Based on Blockchain and Homomorphic Encryption

Sensors ◽  
2021 ◽  
Vol 21 (7) ◽  
pp. 2452
Author(s):  
Faiza Loukil ◽  
Chirine Ghedira-Guegan ◽  
Khouloud Boukadi ◽  
Aïcha-Nabila Benharkat
Keyword(s):  
Data Aggregation ◽  
Homomorphic Encryption ◽  
Privacy Preserving ◽  
Security And Privacy ◽  
Sensitive Information ◽  
Aggregation Process ◽  
Smart Contract ◽  
Reasonable Choice ◽  
Iot Devices

Data analytics based on the produced data from the Internet of Things (IoT) devices is expected to improve the individuals’ quality of life. However, ensuring security and privacy in the IoT data aggregation process is a non-trivial task. Generally, the IoT data aggregation process is based on centralized servers. Yet, in the case of distributed approaches, it is difficult to coordinate several untrustworthy parties. Fortunately, the blockchain may provide decentralization while overcoming the trust problem. Consequently, blockchain-based IoT data aggregation may become a reasonable choice for the design of a privacy-preserving system. To this end, we propose PrivDA, a Privacy-preserving IoT Data Aggregation scheme based on the blockchain and homomorphic encryption technologies. In the proposed system, each data consumer can create a smart contract and publish both terms of service and requested IoT data. Thus, the smart contract puts together into one group potential data producers that can answer the consumer’s request and chooses one aggregator, the role of which is to compute the group requested result using homomorphic computations. Therefore, group-level aggregation obfuscates IoT data, which complicates sensitive information inference from a single IoT device. Finally, we deploy the proposal on a private Ethereum blockchain and give the performance evaluation.

scholarly journals Tenant-Oriented Monitoring for Customized Security Services in the Cloud

Symmetry ◽  
2019 ◽  
Vol 11 (2) ◽  
pp. 252 ◽  
Author(s):  
Huaizhe Zhou ◽  
Haihe Ba ◽  
Yongjun Wang ◽  
Zhiying Wang ◽  
Jun Ma ◽  
...  
Keyword(s):  
Virtual Machines ◽  
Service Providers ◽  
Security Analysis ◽  
Security Requirements ◽  
Security And Privacy ◽  
Sensitive Information ◽  
Cloud Environment ◽  
Security Issues ◽  
Security Services ◽  
Runtime Information

The dramatic proliferation of cloud computing makes it an attractive target for malicious attacks. Increasing solutions resort to virtual machine introspection (VMI) to deal with security issues in the cloud environment. However, the existing works are not feasible to support tenants to customize individual security services based on their security requirements flexibly. Additionally, adoption of VMI-based security solutions makes tenants at the risk of exposing sensitive information to attackers. To alleviate the security and privacy anxieties of tenants, we present SECLOUD, a framework for monitoring VMs in the cloud for security analysis in this paper. By extending VMI techniques, SECLOUD provides remote tenants or their authorized security service providers with flexible interfaces for monitoring runtime information of guest virtual machines (VMs) in a non-intrusive manner. The proposed framework enhances effectiveness of monitoring by taking advantages of architectural symmetry of cloud environment. Moreover, we harden our framework with a privacy-preserving capacity for tenants. The flexibility and effectiveness of SECLOUD is demonstrated through a prototype implementation based on Xen hypervisor, which results in acceptable performance overhead.

A Cloud Based Secure Voting System using Homomorphic Encryption for Android Platform

2016 ◽  
Vol 6 (6) ◽  
pp. 2994
Author(s):  
Manish Ranjan ◽  
Ayub Hussain Mondal ◽  
Monjul Saikia
Keyword(s):  
Service Provider ◽  
Cloud Storage ◽  
Homomorphic Encryption ◽  
Information Leakage ◽  
Third Party ◽  
Sensitive Information ◽  
Cipher Text ◽  
Cloud Storage Service ◽  
Android Platform ◽  
Voting System

<p>Cloud based service provider are at its top of its services for various applications, as their services are very much reachable from anywhere anytime in current days. It is responsibility of the company that the Cloud storage is owned and maintained by themselves keeping the data available and accessible, and the physical environment protected and running. Could storage provider seem to be uncertain of confidentiality in many cases, as we need to limit ourselves on trust to a third party. Keeping our sensitive data ready to access any time anywhere with preventing any information leakage is a challenging task. Cryptography in this scenario plays an important role, providing security for information to protect valuable information resources on intranets, Internet and the cloud. In addition, Homomorphic cryptosystem is a form of Cryptography where some specific computation can be performed over the cipher text producing a resultant cipher text which, when decrypted, equals the result of operations carry out on the plaintext. With help of this unique property of homomorphism cryptography we proposed a system to keep sensitive information in encrypted form in the cloud storage/service provider and used those data as whenever we require. The scheme proposed here is designed for a secure online voting system on Android platform and voted information is encrypted and stored those in the cloud.</p>

A Cloud-User Watermarking Protocol Protecting the Right to Be Forgotten for the Outsourced Plain Images

2018 ◽  
Vol 10 (4) ◽  
pp. 118-139
Author(s):  
Xiaojuan Dong ◽  
Weiming Zhang ◽  
Xianjun Hu ◽  
Keyang Liu
Keyword(s):  
Cloud Storage ◽  
Homomorphic Encryption ◽  
Cloud Services ◽  
Security Requirements ◽  
Plain Text ◽  
Watermarking Protocol ◽  
Cloud Server ◽  
Local Storage ◽  
The Right ◽  
Cloud User

This article describes how cloud storage dramatically benefits people in freeing up their local storage space, while bringing the separation of the data ownership and private manipulation. Hence, it is difficult for the cloud user to make sure that the cloud storage provider (CSP) has obeyed the request of deletion to remove all corresponding data. To solve the issue technically, this article proposes an interactive cloud-user watermarking protocol (CUW) based on the homomorphic encryption. To meet security requirements, the encrypted watermark is embedded into encrypted data. Moreover, to enjoy the convenient cloud services, the uploaded data is eventually stored in the cloud server in the form of plain text. The performance of the CUW protocol is evaluated through a prototype implementation.

scholarly journals Three factor authentication system with modified ECC based secured data transfer: untrusted cloud environment

2021 ◽  
Author(s):  
Dilip Venkata Kumar Vengala ◽  
D. Kavitha ◽  
A. P. Siva Kumar
Keyword(s):  
Cloud Storage ◽  
Data Transfer ◽  
Security Threats ◽  
Cloud Environment ◽  
Server Side ◽  
Cloud Server ◽  
Authentication System ◽  
Secured Data ◽  
Compressed Data ◽  
Cloud Storage Services

AbstractCloud computing (CC) is a technology that delivers its service by means of the internet. In the modern scenario, cloud storage services have gained attention. The cloud environment confronts data breaches expansively in cloud storage, which might bring about the disclosure of personal in addition to corporate data. Thus, the requirement arises for the creation of a more foremost authentication system. Customary authentication schemes depend on techniques, like Password Authentications Protocol (PAP), Challenge Handshakes Authentication Protocols (CHAP), as well as One-Time Pads (OTP), which are often susceptible to malevolent attacks as well as security threats. To shun such issues, this paper proposed a Modified ECC centred secure data transfer and a ‘3’-factor authentication scheme in the untrusted cloud environment. The proposed work comprises ‘3’ steps: authentication, data compression, and safe data transfer. In the authentication phase, the SHA-512 algorithm along with CCP is utilized. After that, the user-uploaded data is compressed utilizing CHA on the server-side. Next, MECC encrypts the compressed data, and then, safely uploaded it to the cloud server (CS). In the investigational appraisal, the proposed work is contrasted with the prevailing methods. The outcomes proved that the proposed work renders better security than the prevailing methods.

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