2,150,057 research outputs found
Perception of Data Security in e-Commerce
In this paper, different factors influencing the perceived data security (PDS) of online shoppers are analyzed. For this purpose, the authors first conduct a literature review and later analyze the results of an empirical study, by applying a regression analyses. Based on the findings of this research, the paper identified the frequency of gathering information on the topic of data security and the experience of being hacked as factors with a significant negative impact on PDS. In addition, a well perceived benefit and, in special cases, an e-Commerce business’ brand can positively influence PDS of customers. In conclusion, the paper delivers insights into the perceptions of data security and delivers some suggestions on how a company could improve the PDS of their customers
Security and Privacy Issues of Big Data
This chapter revises the most important aspects in how computing
infrastructures should be configured and intelligently managed to fulfill the
most notably security aspects required by Big Data applications. One of them is
privacy. It is a pertinent aspect to be addressed because users share more and
more personal data and content through their devices and computers to social
networks and public clouds. So, a secure framework to social networks is a very
hot topic research. This last topic is addressed in one of the two sections of
the current chapter with case studies. In addition, the traditional mechanisms
to support security such as firewalls and demilitarized zones are not suitable
to be applied in computing systems to support Big Data. SDN is an emergent
management solution that could become a convenient mechanism to implement
security in Big Data systems, as we show through a second case study at the end
of the chapter. This also discusses current relevant work and identifies open
issues.Comment: In book Handbook of Research on Trends and Future Directions in Big
Data and Web Intelligence, IGI Global, 201
Some Special Fields of Data Security
Our age is called information age which shows the importance of any kind of data. Because of this one should protect their (digital) data to prevent non-wanted entities accessing them.This is a permanent problem of enterprises and private persons as well. The technical prerequisites are given not only for eavesdropping the data of others but for securing our data as well. In this paper I show a possible and a low cost technical solution for a typical situation: how one can hide the digital footprints of his or her browsing the internet.SSH, portforward, privacy, data security
A Review of Data Security Primitives in Data Mining
This paper has discussed various issues and security primitives like Spatial Data Handing, Privacy Protection of data, Data Load Balancing, Resource Mining etc. in the area of Data Mining.A 5-stage review process has been conductedfor 30 research papers which were published in the period of year ranging from 1996 to year 2013. After an exhaustive review process, nine key issues were found “Spatial Data Handing, Data Load Balancing, Resource Mining ,Visual Data Mining, Data Clusters Mining, Privacy Preservation, Mining of gaps between business tools & patterns, Mining of hidden complex patterns.” which have been resolved and explained with proper methodologies. Several solution approaches have been discussed in the 30 papers. This paper provides an outcome of the review which is in the form of various findings, found under various key issues. The findings included algorithms and methodologies used by researchers along with their strengths and weaknesses and the scope for the future work in the area
Computing on Masked Data to improve the Security of Big Data
Organizations that make use of large quantities of information require the
ability to store and process data from central locations so that the product
can be shared or distributed across a heterogeneous group of users. However,
recent events underscore the need for improving the security of data stored in
such untrusted servers or databases. Advances in cryptographic techniques and
database technologies provide the necessary security functionality but rely on
a computational model in which the cloud is used solely for storage and
retrieval. Much of big data computation and analytics make use of signal
processing fundamentals for computation. As the trend of moving data storage
and computation to the cloud increases, homeland security missions should
understand the impact of security on key signal processing kernels such as
correlation or thresholding. In this article, we propose a tool called
Computing on Masked Data (CMD), which combines advances in database
technologies and cryptographic tools to provide a low overhead mechanism to
offload certain mathematical operations securely to the cloud. This article
describes the design and development of the CMD tool.Comment: 6 pages, Accepted to IEEE HST Conferenc
Strengthening Data Security: an Holistic Approach
In the light of heightened concern around data security, this paper highlights some of the measures that can be used to develop and strengthen security in data archiving. The paper includes discussion of the different approaches that can be taken towards the construction of firm and resilient data and information security policies within the social science data archiving communities. While international standards can provide theoretical guidelines for the construction of such a policy, procedures need to be informed by more practical considerations. Attention is drawn to the necessity of following a holistic approach to data security, which includes the education of data creators in the reduction of disclosure risk, the integration of robust and appropriate data processing, handling and management procedures, the value of emerging technological solutions, the training of data users in data security, and the importance of management control, as well as the need to be informed by emerging government security and digital preservation standards
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