scholarly journals The Impact of Operating System on Bandwidth in Open VPN Technology

2016 ◽  
Vol 13 (1) ◽  
pp. 204-211
Author(s):  
Baghdad Science Journal
Keyword(s):  
Operating System ◽  
Operating Systems ◽  
Data Privacy ◽  
The Internet ◽  
Sensitive Data ◽  
Privacy And Security ◽  
Basic Source ◽  
Basic Functions ◽  
And Performance ◽  
The Impact

The internet is a basic source of information for many specialities and uses. Such information includes sensitive data whose retrieval has been one of the basic functions of the internet. In order to protect the information from falling into the hands of an intruder, a VPN has been established. Through VPN, data privacy and security can be provided. Two main technologies of VPN are to be discussed; IPSec and Open VPN. The complexity of IPSec makes the OpenVPN the best due to the latter’s portability and flexibility to use in many operating systems. In the LAN, VPN can be implemented through Open VPN to establish a double privacy layer(privacy inside privacy). The specific subnet will be used in this paper. The key and certificate will be generated by the server. An authentication and key exchange will be based on standard protocol SSL/TLS. Various operating systems from open source and windows will be used. Each operating system uses a different hardware specification. Tools such as tcpdump and jperf will be used to verify and measure the connectivity and performance. OpenVPN in the LAN is based on the type of operating system, portability and straightforward implementation. The bandwidth which is captured in this experiment is influenced by the operating system rather than the memory and capacity of the hard disk. Relationship and interoperability between each peer and server will be discussed. At the same time privacy for the user in the LAN can be introduced with a minimum specification.

scholarly journals Solutions to Big Data Privacy and Security Challenges Associated With COVID-19 Surveillance Systems

2021 ◽  
Vol 4 ◽  
Author(s):  
Vibhushinie Bentotahewa ◽  
Chaminda Hewage ◽  
Jason Williams
Keyword(s):  
Big Data ◽  
Data Privacy ◽  
Personal Data ◽  
Surveillance Systems ◽  
Privacy Rights ◽  
Personal Privacy ◽  
Privacy And Security ◽  
Digital Surveillance ◽  
Feasible Solutions ◽  
The Impact

The growing dependency on digital technologies is becoming a way of life, and at the same time, the collection of data using them for surveillance operations has raised concerns. Notably, some countries use digital surveillance technologies for tracking and monitoring individuals and populations to prevent the transmission of the new coronavirus. The technology has the capacity to contribute towards tackling the pandemic effectively, but the success also comes at the expense of privacy rights. The crucial point to make is regardless of who uses and which mechanism, in one way another will infringe personal privacy. Therefore, when considering the use of technologies to combat the pandemic, the focus should also be on the impact of facial recognition cameras, police surveillance drones, and other digital surveillance devices on the privacy rights of those under surveillance. The GDPR was established to ensure that information could be shared without causing any infringement on personal data and businesses; therefore, in generating Big Data, it is important to ensure that the information is securely collected, processed, transmitted, stored, and accessed in accordance with established rules. This paper focuses on Big Data challenges associated with surveillance methods used within the COVID-19 parameters. The aim of this research is to propose practical solutions to Big Data challenges associated with COVID-19 pandemic surveillance approaches. To that end, the researcher will identify the surveillance measures being used by countries in different regions, the sensitivity of generated data, and the issues associated with the collection of large volumes of data and finally propose feasible solutions to protect the privacy rights of the people, during the post-COVID-19 era.

The Internet of Things (IoT): a survey of techniques, operating systems, and trends

2019 ◽  
Vol 38 (1) ◽  
pp. 5-66 ◽  
Author(s):  
Elham Ali Shammar ◽  
Ammar Thabit Zahary
Keyword(s):  
Literature Review ◽  
Operating Systems ◽  
Future Internet ◽  
The Internet ◽  
Smart Objects ◽  
Privacy And Security ◽  
Internet Protocols ◽  
Content Type ◽  
New Vision ◽  
New Applications

Purpose Internet has changed radically in the way people interact in the virtual world, in their careers or social relationships. IoT technology has added a new vision to this process by enabling connections between smart objects and humans, and also between smart objects themselves, which leads to anything, anytime, anywhere, and any media communications. IoT allows objects to physically see, hear, think, and perform tasks by making them talk to each other, share information and coordinate decisions. To enable the vision of IoT, it utilizes technologies such as ubiquitous computing, context awareness, RFID, WSN, embedded devices, CPS, communication technologies, and internet protocols. IoT is considered to be the future internet, which is significantly different from the Internet we use today. The purpose of this paper is to provide up-to-date literature on trends of IoT research which is driven by the need for convergence of several interdisciplinary technologies and new applications. Design/methodology/approach A comprehensive IoT literature review has been performed in this paper as a survey. The survey starts by providing an overview of IoT concepts, visions and evolutions. IoT architectures are also explored. Then, the most important components of IoT are discussed including a thorough discussion of IoT operating systems such as Tiny OS, Contiki OS, FreeRTOS, and RIOT. A review of IoT applications is also presented in this paper and finally, IoT challenges that can be recently encountered by researchers are introduced. Findings Studies of IoT literature and projects show the disproportionate importance of technology in IoT projects, which are often driven by technological interventions rather than innovation in the business model. There are a number of serious concerns about the dangers of IoT growth, particularly in the areas of privacy and security; hence, industry and government began addressing these concerns. At the end, what makes IoT exciting is that we do not yet know the exact use cases which would have the ability to significantly influence our lives. Originality/value This survey provides a comprehensive literature review on IoT techniques, operating systems and trends.

IoT ecosystem faces fragmented future

2019 ◽  
Keyword(s):  
Artificial Intelligence ◽  
Cloud Computing ◽  
Supply Chain ◽  
Internet Of Things ◽  
Data Privacy ◽  
The Internet ◽  
Privacy And Security ◽  
Content Type ◽  
Iot Devices ◽  
The Internet Of Things

Subject IoT ecosystem. Significance The market for the Internet of Things (IoT) or connected devices is expanding rapidly, with no manufacturer currently forecast to dominate the supply chain. This has fragmented the emerging IoT ecosystem, triggering questions about interoperability and cybersecurity of IoT devices. Impacts Firms in manufacturing, transportation and logistics and utilities are expected to see the highest IoT spending in coming years. The pace of IoT adoption is inextricably linked to that of related technologies such as 5G, artificial intelligence and cloud computing. Data privacy and security will be the greatest constraint to IoT adoption.

scholarly journals Semi-automated process of adaptation of platform dependent parts of embedded operating systems

2017 ◽  
Vol 68 (2) ◽  
pp. 87-98
Author(s):  
Martin Vojtko ◽  
Tibor Krajčovič
Keyword(s):  
Operating System ◽  
Operating Systems ◽  
Automatic Generation ◽  
Adaptation Process ◽  
Formal Description ◽  
Minimal Requirement ◽  
Complicated Process ◽  
Automated Process ◽  
Embedded Operating Systems ◽  
The Impact

Abstract Each year manufacturers develop new processors. As a reaction to this continuous development, the developers of software have to adapt their software to those new processors. As a minimal requirement, the code of an operating system has to be changed to enable the execution of other user applications. This change is a complicated process during which incompatible parts of an operating system have to be redesigned and missing parts have to be implemented. Complications arise when there is a need to adapt an operating system to completely different processor architecture. In this paper we present a novel adaptation process that has preconditions to reduce the impact of these complications. This process uses a file for the formal description of a processor, which is also described in this paper. The formal description could act as a standard for processor manufacturers and could allow the generation of a platform dependent code of an operating system. This paper presents concepts, definitions and ideas of the adaptation process and shows possible solutions for an automatic generation of code parts of an operating system.

The Last Line of Defense

2011 ◽  
pp. 71-84
Author(s):  
Art Taylor
Keyword(s):  
Operating System ◽  
Operating Systems ◽  
Defense Mechanisms ◽  
Computer Systems ◽  
The Internet ◽  
Security Attacks ◽  
Authentication And Authorization

With the rise of the Internet, computer systems appear to be more vulnerable than ever from security attacks. Much attention has been focused on the role of the network in security attacks, but evidence suggests that the computer server and its operating system deserve closer examination since it is ultimately the operating system and its core defense mechanisms of authentication and authorization which are compromised in an attack. This chapter provides an exploratory and evaluative discussion of the authentication and authorization features of two widely used server operating systems: Windows and Linux.

Cloud Computing Security Issues of Sensitive Data

2019 ◽  
pp. 60-84
Author(s):  
Manpreet Kaur Walia ◽  
Malka N. Halgamuge ◽  
Nadeesha D. Hettikankanamage ◽  
Craig Bellamy
Keyword(s):  
Cloud Computing ◽  
Business Education ◽  
The Internet ◽  
Sensitive Data ◽  
Number Of Solutions ◽  
Privacy And Security ◽  
Cloud Computing Security ◽  
Unauthorized Access ◽  
Security Issues ◽  
The Internet Of Things

Numerous organizations are using aspects of the cloud to store data, but as sensitive data is placed on the cloud, privacy and security become difficult to maintain. When users upload data to the cloud, they may become increasingly vulnerable to account hijacking, unauthorized access, and the data may become unavailable because of various technical reasons. Questions remain about the security of sensitive data in the cloud, and in this chapter, the authors perform an analysis of 36 peer reviewed publications describing 30 observations of cloud computing technology (2010-2017). In the articles, applications of cloud computing include, for instance, business (26%) and the internet of things (IoT; 2%), and the result suggests that some issues are unique to a particular domain (such as business, education, health) and some issues cross all domains. The results suggest that data integrity issues have the highest number of solutions whereas data breaches have the lowest number of solutions.

Electronic Health Record Security in Cloud

2020 ◽  
pp. 22-47
Author(s):  
Desam Vamsi ◽  
Pradeep Reddy
Keyword(s):  
Data Privacy ◽  
Storage Systems ◽  
Homomorphic Encryption ◽  
Cost Effective ◽  
Healthcare Organizations ◽  
Sensitive Data ◽  
Privacy And Security ◽  
Encrypted Data ◽  
Electronic Health ◽  
Somewhat Homomorphic Encryption

Security is the primary issue nowadays because cybercrimes are increasing. The organizations can store and maintain their data on their own, but it is not cost effective, so for convenience they are choosing cloud. Due to its popularity, the healthcare organizations are storing their sensitive data to cloud-based storage systems, that is, electronic health records (EHR). One of the most feasible methods for maintaining privacy is homomorphism encryption (HE). HE can combine different services without losing security or displaying sensitive data. HE is nothing but computations performed on encrypted data. According to the type of operations and limited number of operations performed on encrypted data, it is categorized into three types: partially homomorphic encryption (PHE), somewhat homomorphic encryption (SWHE), fully homomorphic encryption (FHE). HE method is very suitable for the EHR, which requires data privacy and security.

Data Privacy vs. Data Security

2014 ◽  
pp. 215-234
Author(s):  
Sue Milton
Keyword(s):  
Data Security ◽  
Data Privacy ◽  
Identity Management ◽  
Data Access ◽  
Privacy And Security ◽  
Access Policy ◽  
Data Usage ◽  
And Performance ◽  
The Relationship ◽  
Privacy Issues

This chapter assumes data is a key asset that, if lost or damaged, severely disrupts business capability and reputation. The chapter has one core purpose, to provide leaders with sufficient understanding of two data management fundamentals, data privacy and data security. Without that understanding, Information Technology (IT) security will always be seen as a cost on, not an investment towards, quality and performance. The chapter reviews the relationship between data privacy and data security. It argues that data security cannot be achieved until data privacy issues have been addressed. Simply put, data privacy is fundamental to any data usage policy and data security to the data access policy. The topic is then discussed in broader terms, in the context of data and information management, covering various themes such as cyber-crime, governance, and innovations in identity management. The chapter's intended outcome is to clarify the relationship between data privacy and security and how this understanding helps reduce data abuse. The link between privacy and security will also demystify the reason for high costs in implementing and maintaining security policies and explain why leaders need to provide stronger IT strategic leadership to ensure IT investment is defined and implemented wisely.

scholarly journals Trust Hardware Based Secured Privacy Preserving Computation System for Three-Dimensional Data

Electronics ◽  
2021 ◽  
Vol 10 (13) ◽  
pp. 1546
Author(s):  
Munan Yuan ◽  
Xiaofeng Li ◽  
Xiru Li ◽  
Haibo Tan ◽  
Jinlin Xu
Keyword(s):  
Data Privacy ◽  
High Performance ◽  
Distributed Storage ◽  
Three Dimensional ◽  
Privacy Preserving ◽  
Sensitive Data ◽  
Privacy And Security ◽  
Time Consumption ◽  
Blockchain Technology ◽  
3D Data

Three-dimensional (3D) data are easily collected in an unconscious way and are sensitive to lead biological characteristics exposure. Privacy and ownership have become important disputed issues for the 3D data application field. In this paper, we design a privacy-preserving computation system (SPPCS) for sensitive data protection, based on distributed storage, trusted execution environment (TEE) and blockchain technology. The SPPCS separates a storage and analysis calculation from consensus to build a hierarchical computation architecture. Based on a similarity computation of graph structures, the SPPCS finds data requirement matching lists to avoid invalid transactions. With TEE technology, the SPPCS implements a dual hybrid isolation model to restrict access to raw data and obscure the connections among transaction parties. To validate confidential performance, we implement a prototype of SPPCS with Ethereum and Intel Software Guard Extensions (SGX). The evaluation results derived from test datasets show that (1) the enhanced security and increased time consumption (490 ms in this paper) of multiple SGX nodes need to be balanced; (2) for a single SGX node to enhance data security and preserve privacy, an increased time consumption of about 260 ms is acceptable; (3) the transaction relationship cannot be inferred from records on-chain. The proposed SPPCS implements data privacy and security protection with high performance.

scholarly journals Cloud – IAAS security threats and its possible mitigations

2018 ◽  
Vol 7 (1.7) ◽  
pp. 186
Author(s):  
R Priyadarshini ◽  
N Malarvizhi
Keyword(s):  
Operating Systems ◽  
Data Center ◽  
The Internet ◽  
Security Threats ◽  
Privacy And Security ◽  
Security Issues ◽  
Systems Security ◽  
Virtual Data Center ◽  
Computing Infrastructure ◽  
Virtual Data

Cloud IaaS, a virtual data center is an instant computing infrastructure provided and managed over the Internet. The provider owns the resource and maintains it in the level specified in the SLA. The user is permitted to use the resources as services like operating systems, security, networking, application developing servers, application deploying tools, databases, etc., on the basis of pay-per-use model. The providers and users both are concerned over integrity, privacy and security issues. This study distinguishes the issues identified with the cloud IaaS layer and strategies to overcome them to maximize the performance.

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