Secure Server Virtualization Using Object Level Permission Model

2020 ◽  
pp. 101-108
Author(s):  
Varsha Grover ◽  
Gagandeep
Keyword(s):  
Server Virtualization ◽  
Secure Server ◽  
Object Level

SELinux-Based Secure Server Virtualization

2013 ◽  
Vol 756-759 ◽  
pp. 2829-2833
Author(s):  
Xun Yi Ren ◽  
Yang Yu
Keyword(s):  
Access Control ◽  
Virtual Machine ◽  
Virtual Machines ◽  
Utilization Efficiency ◽  
Machine Process ◽  
Protection Mechanism ◽  
Server Virtualization ◽  
Access Control Policies ◽  
Security Problem ◽  
Secure Server

Server virtualization is to create and run several independent operation systems at the same time to maximize the utilization efficiency and flexibility of IT resource, the most serious security problem of which, however, is the unauthorized access of unsafe virtual machines. This paper presents a SELinux-based secure server virtualization method against the issue. With SELinux access control, virtual machine process is isolated from system processes by setting up different type labels and access control policies. Whats more, different virtual machine processes can be independent with each other by introducing Multi Category Security (MCS) protection mechanism, thus to achieve secure access of server virtualization. Finally the realization of the method is presented.

Towards guaranteed data-integrity: A method of preventing Questionable Research Practices

2018 ◽  
Author(s):  
Dick Bierman ◽  
Jacob Jolij
Keyword(s):  
Real Time ◽  
Open Data ◽  
Data Integrity ◽  
Drop Out ◽  
Research Practices ◽  
Major Aspect ◽  
Questionable Research Practices ◽  
Blockchain Technology ◽  
Integrity System ◽  
Secure Server

We have tested the feasibility of a method to prevent the occurrence of so-called Questionable Research Practices (QRP). A part from embedded pre-registration the major aspect of the system is real-time uploading of data on a secure server. We outline the method, discuss the drop-out treatment and compare it to the Born-open data method, and report on our preliminary experiences. We also discuss the extension of the data-integrity system from secure server to use of blockchain technology.

Object-level change detection based on full-scale image segmentation and its application to Wenchuan Earthquake

2008 ◽  
Vol 51 (S2) ◽  
pp. 110-122 ◽  
Author(s):  
JianYa Gong ◽  
HaiGang Sui ◽  
KaiMin Sun ◽  
GuoRui Ma ◽  
JunYi Liu
Keyword(s):  
Image Segmentation ◽  
Change Detection ◽  
Wenchuan Earthquake ◽  
Full Scale ◽  
Level Change ◽  
Object Level

Site-projected electronic structure of two-dimensional Ti3C2MXene: the role of the surface functionalization groups

2016 ◽  
Vol 18 (45) ◽  
pp. 30946-30953 ◽  
Author(s):  
Damien Magne ◽  
Vincent Mauchamp ◽  
Stéphane Célérier ◽  
Patrick Chartier ◽  
Thierry Cabioc'h
Keyword(s):  
Electronic Structure ◽  
Surface Functionalization ◽  
Chemical Bonding ◽  
Surface Groups ◽  
Two Dimensional ◽  
Object Level

The role of the surface groups in chemical bonding in two dimensional Ti3C2is evidenced at the nano-object level.

Saliency detection in computer rendered images based on object-level contrast

2014 ◽  
Vol 25 (3) ◽  
pp. 525-533 ◽  
Author(s):  
Lu Dong ◽  
Weisi Lin ◽  
Yuming Fang ◽  
Shiqian Wu ◽  
Hock Soon Seah
Keyword(s):  
Saliency Detection ◽  
Object Level

A Unified Approach of Object-Level Saliency Detection in Images and Videos

2013 ◽  
Vol 765-767 ◽  
pp. 1401-1405
Author(s):  
Chi Zhang ◽  
Wei Qiang Wang
Keyword(s):  
Quality Evaluation ◽  
Saliency Detection ◽  
Visual Saliency ◽  
Unified Approach ◽  
Feature Maps ◽  
Still Images ◽  
Saliency Maps ◽  
Novel Method ◽  
Object Level ◽  
Important Branch

Object-level saliency detection is an important branch of visual saliency. In this paper, we propose a novel method which can conduct object-level saliency detection in both images and videos in a unified way. We employ a more effective spatial compactness assumption to measure saliency instead of the popular contrast assumption. In addition, we present a combination framework which integrates multiple saliency maps generated in different feature maps. The proposed algorithm can automatically select saliency maps of high quality according to the quality evaluation score we define. The experimental results demonstrate that the proposed method outperforms all state-of-the-art methods on both of the datasets of still images and video sequences.

scholarly journals Provably secure server-aided verification signatures

2011 ◽  
Vol 61 (7) ◽  
pp. 1705-1723 ◽  
Author(s):  
Wei Wu ◽  
Yi Mu ◽  
Willy Susilo ◽  
Xinyi Huang
Keyword(s):  
Secure Server ◽  
Provably Secure
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