33 research outputs found
Introduction to Security and Privacy on the Blockchain
International audienceThe blockchain has fueled one of the most enthusiastic bursts of activity in applied cryptography in years, but outstanding problems in security and privacy research must be solved for blockchain technologies to go beyond the hype and reach their full potential. At the first IEEE Privacy and Security on the Blockchain Workshop (IEEE S&B), we presented peer-reviewed papers bringing together academia and industry to analyze problems ranging from deploying newer cryptographic primitives on Bitcoin to enabling use-cases like privacy-preserving file storage. We overview not only the larger problems the workshop has set out to tackle, but also outstanding unsolved issues that will require further cooperation between academia and the blockchain community
Personal data broker instead of blockchain for students’ data privacy assurance
Data logs about learning activities are being recorded at a growing pace due to the adoption and evolution of educational technologies (Edtech). Data analytics has entered the field of education under the name of learning analytics. Data analytics can provide insights that can be used to enhance learning activities for educational stakeholders, as well as helping online learning applications providers to enhance their services. However, despite the goodwill in the use of Edtech, some service providers use it as a means to collect private data about the students for their own interests and benefits. This is
showcased in recent cases seen in media of bad use of students’ personal information. This growth in cases is due to the recent tightening in data privacy regulations, especially in the EU. The students or their parents should be the owners of the information about them and their learning activities online. Thus they should have the right tools to control how their information is accessed and for what purposes. Currently, there is no technological solution to prevent leaks or the misuse of data about the students or their activity. It seems appropriate to try to solve it from an automation technology perspective. In this paper, we consider the use of Blockchain technologies as a possible basis for a solution to this problem. Our analysis indicates that the Blockchain is not a suitable solution. Finally, we propose a cloud-based solution with a central personal point of management that we have called Personal Data Broker.Peer ReviewedPostprint (author's final draft
On the Convergence of Blockchain and Internet of Things (IoT) Technologies
The Internet of Things (IoT) technology will soon become an integral part of
our daily lives to facilitate the control and monitoring of processes and
objects and revolutionize the ways that human interacts with the physical
world. For all features of IoT to become fully functional in practice, there
are several obstacles on the way to be surmounted and critical challenges to be
addressed. These include, but are not limited to cybersecurity, data privacy,
energy consumption, and scalability. The Blockchain decentralized nature and
its multi-faceted procedures offer a useful mechanism to tackle several of
these IoT challenges. However, applying the Blockchain protocols to IoT without
considering their tremendous computational loads, delays, and bandwidth
overhead can let to a new set of problems. This review evaluates some of the
main challenges we face in the integration of Blockchain and IoT technologies
and provides insights and high-level solutions that can potentially handle the
shortcomings and constraints of both IoT and Blockchain technologies.Comment: Includes 11 Pages, 3 Figures, To publish in Journal of Strategic
Innovation and Sustainability for issue JSIS 14(1
Personal Data Broker Instead of Blockchain for Students’ Data Privacy Assurance
Data logs about learning activities are being recorded at a growing
pace due to the adoption and evolution of educational technologies (Edtech).
Data analytics has entered the field of education under the name of learning
analytics. Data analytics can provide insights that can be used to enhance
learning activities for educational stakeholders, as well as helping online
learning applications providers to enhance their services. However, despite the
goodwill in the use of Edtech, some service providers use it as a means to collect
private data about the students for their own interests and benefits. This is
showcased in recent cases seen in media of bad use of students’ personal
information. This growth in cases is due to the recent tightening in data privacy
regulations, especially in the EU. The students or their parents should be the
owners of the information about them and their learning activities online. Thus
they should have the right tools to control how their information is accessed and
for what purposes. Currently, there is no technological solution to prevent leaks
or the misuse of data about the students or their activity. It seems appropriate to
try to solve it from an automation technology perspective. In this paper, we
consider the use of Blockchain technologies as a possible basis for a solution to
this problem. Our analysis indicates that the Blockchain is not a suitable solution.
Finally, we propose a cloud-based solution with a central personal point of
management that we have called Personal Data Broker
Blockchain Technology, Technical Challenges and Countermeasures for Illegal Data Insertion
Blockchain is a decentralized transaction and data management technology. It was developed for the world’s first cryptocurrency known as Bitcoin in 2008. The reason behind its popularity was its properties which provide pseudonymity, security, and data integrity without third-party intervention. Initially, most of the researches were focused on the Bitcoin system and its limitation, but later other applications of Blockchain e.g. smart contracts and licensing [1] also got famous. Blockchain technology has the potential to change the way how transactions are conducted in daily life. It is not limited to cryptocurrencies but could be possibly applied in various environments where any forms of transactions are done. This article presents a comprehensive overview of Blockchain technology, its development, applications, security issues, and their countermeasures. In particular, the security towards illegal data insertion and the countermeasures is focused. Our analysis of countermeasures of illegal data insertion can be combined for increased efficiency. After the introduction of the Blockchain and consensus algorithm, some famous Blockchain applications and expected future of Blockchain are deliberated. Then, the technical challenges of Blockchain are discussed, in which the main focus here is on the security and the data insertion in Blockchain. The review of the possible countermeasures to overcome the security issues related to data insertion are elaborated
A Blockchain Grand Challenge: Smart Financial Derivatives
Blockchain and distributed ledger technology (DLT) research encompasses use cases ranging from social innovation to banking, and technical developments ranging from cryptography to semantics of legal text. Research in both academia and industry is highly interdisciplinary across domains such as computer science, linguistics, law, cryptography, banking, economics, and social sciences. The growing complexity of blockchain science and use cases, coupled with the interdisciplinary nature of the research, poses new challenges to our community. Research publication plays a key role in supporting this highly interdisciplinary work: supporting the need for rapid and reliable dissemination of preliminary and final results, and the need for longevity of results beyond the end of financial or management support for a research project. Industry teams rarely have subscriptions to academic journals, and an open access journal adds substantial value in supporting the research community. The field is young, with many research challenges to be addressed. One “grand challenge” for our research community is the implementation of high-value, long-lived, financial derivatives transactions running as smart contracts on DLT (“smart financial derivatives”). This is currently being explored by academia, banking practitioners, trade associations and technology vendors, and is driving research across a wide range of research groups, each focusing on a different aspect. What makes this a “grand” challenge is the need for a large number of diverse research problems to be solved simultaneously. The following outlines a few of the major research questions being investigated: some of these are general research problems that affect blockchain/DLT development broadly, whereas others are very specific to financial derivatives, but all of these aspects must be solved, and their solutions combined effectively, to provide efficient and resilient solutions to the grand challenge