Blockchain-based Continuous Timestamps Tracking System: Towards Ownership Information Believability

Ownership information of high value assets such as property is often concealed and fragmented, adversely affecting information believability. Following the design science research approach, we conceptualize believability as a data quality dimension that supports ownership traceability. We then investigate how blockchain technology might improve information believability in ownership traceability systems. We represent and address our findings via the development of a blockchain-based continuous timestamps tracking system model, framework and implementation for property ownership. A use case of banking transactional data for property ownership traceability is introduced to illustrate our workflow and system design. The proposed system takes advantage of blockchain technology such as traceability and irreversibility to support information believability in the design, management, and use of information systems

Privacy in the Genomic Era

Genome sequencing technology has advanced at a rapid pace and it is now possible to generate highly-detailed genotypes inexpensively. The collection and analysis of such data has the potential to support various applications, including personalized medical services. While the benefits of the genomics revolution are trumpeted by the biomedical community, the increased availability of such data has major implications for personal privacy; notably because the genome has certain essential features, which include (but are not limited to) (i) an association with traits and certain diseases, (ii) identification capability (e.g., forensics), and (iii) revelation of family relationships. Moreover, direct-to-consumer DNA testing increases the likelihood that genome data will be made available in less regulated environments, such as the Internet and for-profit companies. The problem of genome data privacy thus resides at the crossroads of computer science, medicine, and public policy. While the computer scientists have addressed data privacy for various data types, there has been less attention dedicated to genomic data. Thus, the goal of this paper is to provide a systematization of knowledge for the computer science community. In doing so, we address some of the (sometimes erroneous) beliefs of this field and we report on a survey we conducted about genome data privacy with biomedical specialists. Then, after characterizing the genome privacy problem, we review the state-of-the-art regarding privacy attacks on genomic data and strategies for mitigating such attacks, as well as contextualizing these attacks from the perspective of medicine and public policy. This paper concludes with an enumeration of the challenges for genome data privacy and presents a framework to systematize the analysis of threats and the design of countermeasures as the field moves forward

Law Firm Cybersecurity: The State of Preventative and Remedial Regulation Governing Data Breaches in the Legal Profession

With the looming threat of the next hacking scandal, data protection efforts in law firms are becoming increasingly crucial in maintaining client confidentiality. This paper addresses ethical and legal issues arising with data storage and privacy in law firms. The American Bar Association’s Model Rules present an ethical standard for cybersecurity measures, which many states have adopted and interpreted. Other than state legislation mandating timely disclosure after a data breach, few legal standards govern law firm data breaches. As technology advances rapidly, the law must address preventative and remedial measures more effectively to protect clients from data breaches caused by outdated or ineffective cybersecurity procedures in law firms. These measures should include setting a minimum standard of care for data security protection and creating a private cause of action for individuals whose personal information has been improperly accessed because of a failure to comply with those standards