Survey on Personal Data Protection During Big Data Time Depending on the Context
The Big Data concept provides a new way to understand and change the world, thus greatly changing people's way of thinking and way of living. With the rapid development of Internet and technology, people are interacting with the world and sharing themselves in everyday life, during which massive personal information is revealed willingly or unwillingly. From Internet of Things (IoT) to Internet of Everything (IoE), from 4G to 5G, unimaginable amount of data will be produced in coming decades. How to ensure the security of our personal data has arisen the concern of government and big enterprises. This paper is an overall analysis of the challenges we faced on personal data protection during the era of big data, which also provides relative solutions depending on different contexts of personal data.
The post-Cold War Arctic has seen a transformation from military tension and a focus on national security to a concern for environmental and human security. As a result of this, the globalized Arctic has a high level of peace and stability, maintained by international cooperation between the Arctic states, northern indigenous peoples, sub-national governments and local actors. There has also been a shift from environmental protection to economic activities and, consequently, states easily trump other interests. Now, in the Arctic, these challenges require fresh thinking on a local and global scale. Regional wars, the 'war on terror', and economic crises have posed new threats to Northern security order.
Pattern structures, an extension of FCA to data with complex descriptions, propose an alternative to conceptual scaling (binarization) by giving direct way to knowledge discovery in complex data such as logical formulas, graphs, strings, tuples of numerical intervals, etc. Whereas the approach to classification with pattern structures based on preceding generation of classifiers can lead to double exponent complexity, the combination of lazy evaluation with projection approximations of initial data, randomization and parallelization, results in reduction of algorithmic complexity to low degree polynomial, and thus is feasible for big data.
In 2015-2016 the Department of Communication, Media and Design of the National Research University “Higher School of Economics” in collaboration with non-profit organization ROCIT conducted research aimed to construct the Index of Digital Literacy in Russian Regions. This research was the priority and remain unmatched for the momentIn 2015-2016 the Department of Communication, Media and Design of the National Research University “Higher School of Economics” in collaboration with non-profit organization ROCIT conducted research aimed to construct the Index of Digital Literacy in Russian Regions. This research was the priority and remain unmatched for the moment
On May 18-19, 2012, at the presidential retreat in Camp David in Maryland, U.S. president Barack Obama hosted the 38th annual G8 summit. The leaders discussed global economic growth, development, and peace and security. After less than 24 hours of face-to-face time among the leaders, they issued communiqué of only five pages. However, Camp David was a significant success. The leaders came together to effectively address the most pressing issues of the day while setting the direction for the summits that were to follow, including the summit of the North Atlantic Treaty Organization in Chicago, the G20 in Los Cabos, Mexico, and the Rio+20 Summit in Rio de Janeiro, Brazil. That success was propelled by several causes. The first is the set of strong global shocks were particularly relevant to a number of items on the agenda. This included the newest installment of the euro-crisis, spikes in oil and food prices, and the escalating violence in Syria. The second is the failure of the other major international institutions to address these challenges. The third is the club’s dedication to the promotion of democracy and its significance on issues such as the democratic transition in the Middle East and North Africa. The fourth is the high relative capabilities of G8 members, fuelled by the strength of the U.S. dollar, the Japanese yen and the British pound. The fifth is the domestic political control, capital, continuity, competence and commitment of the leaders in attendance. Camp David saw several G8 leaders returning for their sixth or seventh summit and leaders with a secure majority mandate and control of their legislative houses at home. Finally, the constricted participation at the remote and secluded Camp David Summit, a unique and original advantage of the G8 summit style, allowed for more spontaneous conversation and interpersonal bonds. Together, these interconnected causes brought the G8 back, as a broader, bigger, bolder centre of effective global governance.
Companies are increasingly paying close attention to the IP portfolio, which is a key competitive advantage, so patents and patent applications, as well as analysis and identification of future trends, become one of the important and strategic components of a business strategy. We argue that the problems of identifying and predicting trends or entities, as well as the search for technical features, can be solved with the help of easily accessible Big Data technologies, machine learning and predictive analytics, thereby offering an effective plan for development and progress. The purpose of this study is twofold, the first is an identification of technological trends, the second is an identification of application areas and/or that are most promising in terms of technology development and investment. The research was based on methods of clustering, processing of large text files and search queries in patent databases. The suggested approach is considered on the basis of experimental data in the field of moving connected UAVs and passive acoustic ecology control.
The article is dedicated to the analysis of Big Data perspective in jurisprudence. It is proved that Big Data have to be used as the explanatory and predictable tool. The author describes issues concerning Big Data application in legal research. The problems are technical (data access, technical imperfections, data verification) and informative (interpretation of data and correlations). It is concluded that there is the necessity to enhance Big Data investigations taking into account the abovementioned limits.