scholarly journals Security and Privacy Requirements for Electronic Consent

2021 ◽  
Vol 20 (2) ◽  
pp. 1-24
Author(s):  
Stef Verreydt ◽  
Koen Yskout ◽  
Wouter Joosen

Electronic consent (e-consent) has the potential to solve many paper-based consent approaches. Existing approaches, however, face challenges regarding privacy and security. This literature review aims to provide an overview of privacy and security challenges and requirements proposed by papers discussing e-consent implementations, as well as the manner in which state-of-the-art solutions address them. We conducted a systematic literature search using ACM Digital Library, IEEE Xplore, and PubMed Central. We included papers providing comprehensive discussions of one or more technical aspects of e-consent systems. Thirty-one papers met our inclusion criteria. Two distinct topics were identified, the first being discussions of e-consent representations and the second being implementations of e-consent in data sharing systems. The main challenge for e-consent representations is gathering the requirements for a “valid” consent. For the implementation papers, many provided some requirements but none provided a comprehensive overview. Blockchain is identified as a solution to transparency and trust issues in traditional client-server systems, but several challenges hinder it from being applied in practice. E-consent has the potential to grant data subjects control over their data. However, there is no agreed-upon set of security and privacy requirements that must be addressed by an e-consent platform. Therefore, security- and privacy-by-design techniques should be an essential part of the development lifecycle for such a platform.

Author(s):  
Kiritkumar J. Modi ◽  
Prachi Devangbhai Shah ◽  
Zalak Prajapati

The rapid growth of digitization in the present era leads to an exponential increase of information which demands the need of a Big Data paradigm. Big Data denotes complex, unstructured, massive, heterogeneous type data. The Big Data is essential to the success in many applications; however, it has a major setback regarding security and privacy issues. These issues arise because the Big Data is scattered over a distributed system by various users. The security of Big Data relates to all the solutions and measures to prevent the data from threats and malicious activities. Privacy prevails when it comes to processing personal data, while security means protecting information assets from unauthorized access. The existence of cloud computing and cloud data storage have been predecessor and conciliator of emergence of Big Data computing. This article highlights open issues related to traditional techniques of Big Data privacy and security. Moreover, it also illustrates a comprehensive overview of possible security techniques and future directions addressing Big Data privacy and security issues.


2018 ◽  
Vol 7 (4.1) ◽  
pp. 51
Author(s):  
Ala'a Saeb Al-Sherideh ◽  
Roesnita Ismail ◽  
Fauziah Abdul Wahid ◽  
Norasikin Fabil ◽  
Waidah Ismail

Mobile applications available in anytime and from anywhere. The utilizing of mobile governmental applications is significant to reduce the efforts and time that are required to accomplish the public services by citizens. The main challenges that face the acceptance and adoption of mobile governmental applications are the privacy and security issues. The users, who do not trust the security of mobile governmental applications, may reject the use of these applications which discourages the government to adopt the mobile services. This study focuses in investigating the security and privacy requirements of mobile government applications. Many related works are reviewed and discussed to understand the important security requirements of mobile government applications. The main results indicate that effective privacy and security of mobile government applications should be assured so as to enhance the level of adopting and using these applications. The security requirements involve many considerations such as the hardware characteristics, software characteristics, and communication characteristics. This article mainly gives better understanding of security requirements of mobile government applications.   


Author(s):  
Joseph Kizza ◽  
Florence Migga Kizza

All recent social, economic, and technological advances can be attributed to the dramatic advances in availability of information and the ability to access it easily and quickly. The increasing demand for information has driven the need for easier access to it. This almost obsessive demand for information together with the abundance of it on almost any topic have created privacy and security challenges. The value of information in our information-driven economies has made it into a valuable commodity so that having it means having superior intellectual, economic, and social status. It has become a vital resource in this information age. Along with it, we have to face the security and privacy challenges it has created.


Author(s):  
Fernando Almeida ◽  
Justino Lourenço

Internet of things (IoT) is increasingly present in our lives. As a consequence of connecting devices, IoT can make people's lives more convenient and comfortable. However, despite unquestionable benefits offered by IoT, there is still a great deal of concern from users and companies about the security and privacy of their data. In this sense, this study conducts a qualitative study based on three case studies of companies in the IoT field, which aims to characterize how these IoT companies look at the security and privacy challenges posed by IoT. The findings allowed the authors to identify the main challenges faced by IoT companies during the past years, the main privacy risks exposed by IoT devices, and the countermeasures that companies and users can adopt to increase the security of IoT.


Author(s):  
Yehia Ibrahim Alzoubi ◽  
Ahmad Al-Ahmad ◽  
Ashraf Jaradat

<span lang="EN-US">Due to the expansion growth of the IoT devices, Fog computing was proposed to enhance the low latency IoT applications and meet the distribution nature of these devices. However, Fog computing was criticized for several privacy and security vulnerabilities. This paper aims to identify and discuss the security challenges for Fog computing. It also discusses blockchain technology as a complementary mechanism associated with Fog computing to mitigate the impact of these issues. The findings of this paper reveal that blockchain can meet the privacy and security requirements of fog computing; however, there are several limitations of blockchain that should be further investigated in the context of Fog computing.</span>


Author(s):  
Imran ◽  
◽  
Syed Mubashir Ali ◽  
Muhammad Alam ◽  
Mazliham Mohd Suud ◽  
...  

It is succinct as per the topic that it will focus on IoT-based security issues. The topic is emerging so contemplation is required to bridge scanty in this field. This study will focus on a rigorous literature review which will provide us scrupulous path to satisfy the industry need. In curtail IoT is not just about interconnecting embedded devices or gadgets to the Internet, however, it is also fast and continuously growing to improve the ease or satisfaction of life. The motive of IoT services is to connect the entire globe through sensors. This study reviews the IoT methodologies in the light of qualitative research. The data analysis and synthesis focus over the last three years (2018 to 2020) which are based on the PRISMA block diagram for understanding. The review identifies the IoT privacy and security issues from a different perspective and also finds out which security issue is mostly discussed in the last few years which elaborated as a basis for further research. After a review of this paper, we can easily understand the different problem faces of IoT devices with the help of comparative analysis using summary tables and graphical representation of IoT in the context of the privacy and security challenges and issues face of IoT devices. After vigorous contemplation, it is clear that in future most of the paper will discuss data security and privacy, confidentiality, and authenticity.


Author(s):  
Kiritkumar J. Modi ◽  
Prachi Devangbhai Shah ◽  
Zalak Prajapati

The rapid growth of digitization in the present era leads to an exponential increase of information which demands the need of a Big Data paradigm. Big Data denotes complex, unstructured, massive, heterogeneous type data. The Big Data is essential to the success in many applications; however, it has a major setback regarding security and privacy issues. These issues arise because the Big Data is scattered over a distributed system by various users. The security of Big Data relates to all the solutions and measures to prevent the data from threats and malicious activities. Privacy prevails when it comes to processing personal data, while security means protecting information assets from unauthorized access. The existence of cloud computing and cloud data storage have been predecessor and conciliator of emergence of Big Data computing. This article highlights open issues related to traditional techniques of Big Data privacy and security. Moreover, it also illustrates a comprehensive overview of possible security techniques and future directions addressing Big Data privacy and security issues.


Author(s):  
Chinnasamy P. ◽  
Rojaramani D. ◽  
Praveena V. ◽  
Annlin Jeba S. V. ◽  
Bensujin B.

Several researchers analyzed the information security problems in edge computing, though not all studied the criteria for security and confidentiality in detail. This chapter intends to extensively evaluate the edge computing protection and confidentiality standards and the different technical approaches utilized by the technologies often used mitigate the risks. This study describes the latest research and emphasizes the following: (1) the definition of edge computing protection and confidentiality criteria, (2) state-of-the-art strategies used to mitigate protection and privacy risks, (3) developments in technical approaches, (4) measures used to measure the efficiency of interventions, (5) the categorization of threats on the edge device and the related technical pattern used to mitigate the attackers, and (6) research directions for potential professionals in the field of edge devices privacy and security.


2018 ◽  
Vol 7 (2.32) ◽  
pp. 341
Author(s):  
Dr E. Suresh Babu ◽  
V Bhargav Raj ◽  
M Manogna Devi ◽  
K Kirthana

This papers reviews and surveys the security issues, mechanism of internet of things (IoT) proposed in the literature. As IoT is a computing concept that describes the idea of everyday physical objects being connected to the internet and being able to identify themselves to other devices. The main advantages of IoT improve the resource utilization ratio and relationship between human and nature. In addition, it possesses various characteristics like sensing, heterogeneity, connectivity, dynamic nature and intelligence. However, it possesses several challenges like connectivity, compatibility, longevity, privacy and security. Specifically, Security and privacy are the crucial issues that need to be solved for successful deployment of IoT. Moreover, some of the data collected from the IoT are very sensitive and should not be revealed to third parties. Such data needs to be protected by some provided legislations. We reviewed some of the security challenges of IoT like secure communication, data privacy and integrity, authorizing and authenticating the devices.  


10.29007/jlq6 ◽  
2019 ◽  
Author(s):  
Thabang Mofokeng

The technology devices introduced in recent years are not only vulnerable to Internet risks but are also unable to elevate the growth of B2C e-commerce. These concerns are particularly relevant today, as the world transitions into the Fourth Industrial Revolution. To date, existing research has largely focused on obstacles to customer loyalty. Studies have tested e-commerce models guided by the establishment of trusting, satisfied and loyal consumers in various international contexts. In South Africa, however, as an emerging market, there has been limited research on the success factors of online shopping.This study examines the influence of security and privacy on trust, seen as a moderator of customer satisfaction, which in turn, has an effect on loyalty towards websites. Based on an exhaustive review of literature, a conceptual model is proposed on the relationships between security and privacy on the one hand, and customer trust, satisfaction and loyalty on the other. A total of 250 structured, self-administered questionnaires was distributed to a purposively selected sample of respondents using face-to-face surveys in Johannesburg, South Africa. A multivariate data analysis technique was used to draw inferences from the data. With an 80.1% response rate, the findings showed that privacy and security do influence customer trust; security strongly influences customer trust and weakly influences satisfaction. In South Africa, customer loyalty towards websites is strongly determined by satisfaction and weakly determined by trust. Trust significantly moderates the effect of customer satisfaction on loyalty. The study implications and limitations are presented and future research directions are suggested.


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