scholarly journals A Policy-Based Framework for Preserving Confidentiality in BYOD Environments: A Review of Information Security Perspectives

2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Chalee Vorakulpipat ◽  
Soontorn Sirapaisan ◽  
Ekkachan Rattanalerdnusorn ◽  
Visut Savangsuk

Today, many organizations allow their employees to bring their own smartphones or tablets to work and to access the corporate network, which is known as a bring your own device (BYOD). However, many such companies overlook potential security risks concerning privacy and confidentiality. This paper provides a review of existing literature concerning the preservation of privacy and confidentiality, with a focus on recent trends in the use of BYOD. This review spans a large spectrum of information security research, ranging from management (risk and policy) to technical aspects of privacy and confidentiality in BYOD. Furthermore, this study proposes a policy-based framework for preserving data confidentiality in BYOD. This framework considers a number of aspects of information security and corresponding techniques, such as policy, location privacy, centralized control, cryptography, and operating system level security, which have been omitted in previous studies. The main contribution is to investigate recent trends concerning the preservation of confidentiality in BYOD from the perspective of information security and to analyze the critical and comprehensive factors needed to strengthen data privacy in BYOD. Finally, this paper provides a foundation for developing the concept of preserving confidentiality in BYOD and describes the key technical and organizational challenges faced by BYOD-friendly organizations.

Author(s):  
Scott Bernard ◽  
Shuyuan Mary Ho

Government agencies are committing an increasing amount of resources to information security and data privacy solutions in order to meet legal and mission requirements for protecting agency information in the face of increasingly sophisticated global threats. Enterprise Architecture (EA) provides an agency-wide context and method that includes a security sub-architecture which can be used to design and implement effective controls. EA is scalable, which promotes consistency and alignment in controls at the enterprise, program, and system levels. EA also can help government agencies improve existing security and data privacy programs by enabling them to move beyond a system-level perspective and begin to promote an enterprise-wide view of security and privacy, as well as improve the agility and effectiveness of lifecycle activities for the development, implementation, and operation of related security and privacy controls that will assure the confidentiality, integrity, and availability of the agency’s data and information. This chapter presents the EA3 “Cube” EA methodology and framework, including an integrated security architecture, that is suitable for use by government agencies for the development of risk-adjusted security and privacy controls that are designed into the agency’s work processes, information flows, systems, applications, and network infrastructure.


2020 ◽  
Vol 35 (3) ◽  
pp. 214-231
Author(s):  
Daniel Pienta ◽  
Jason Bennett Thatcher ◽  
Allen Johnston

Whaling is one of the most financially damaging, well-known, effective cyberattacks employed by sophisticated cybercriminals. Although whaling largely consists of sending a simplistic email message to a whale (i.e. a high-value target in an organization), it can result in large payoffs for cybercriminals, in terms of money or data stolen from organizations. While a legitimate cybersecurity threat, little information security research has directed attention toward whaling. In this study, we begin to provide an initial understanding of what makes whaling such a pernicious problem for organizations, executives, or celebrities (e.g. whales), and those charged with protecting them. We do this by defining whaling, delineating it from general phishing and spear phishing, presenting real-world cases of whaling, and provide guidance on future information security research on whaling. We find that whaling is far more complex than general phishing and spear phishing, spans multiple domains (e.g. work and personal), and potentially results in spillover effects that ripple across the organization. We conclude with a discussion of promising future directions for whaling and information security research.


2013 ◽  
Vol 457-458 ◽  
pp. 1224-1227
Author(s):  
Jian Feng Hu ◽  
Zhen Dong Mu

Mobile equipment has now become a new platform for information exchange, spend a lot of information exchange, how to effectively protect the mobile platform information security? Research has shown that, EEG signal can be used as identification tool, the user's information protection and good, this paper to protect the information security of mobile devices to research how to use EEG; the EEG signal is feasible for mobile equipment identification.


2018 ◽  
Vol 7 (11) ◽  
pp. 442 ◽  
Author(s):  
Mehrnaz Ataei ◽  
Auriol Degbelo ◽  
Christian Kray ◽  
Vitor Santos

An individual’s location data is very sensitive geoinformation. While its disclosure is necessary, e.g., to provide location-based services (LBS), it also facilitates deep insights into the lives of LBS users as well as various attacks on these users. Location privacy threats can be mitigated through privacy regulations such as the General Data Protection Regulation (GDPR), which was introduced recently and harmonises data privacy laws across Europe. While the GDPR is meant to protect users’ privacy, the main problem is that it does not provide explicit guidelines for designers and developers about how to build systems that comply with it. In order to bridge this gap, we systematically analysed the legal text, carried out expert interviews, and ran a nine-week-long take-home study with four developers. We particularly focused on user-facing issues, as these have received little attention compared to technical issues. Our main contributions are a list of aspects from the legal text of the GDPR that can be tackled at the user interface level and a set of guidelines on how to realise this. Our results can help service providers, designers and developers of applications dealing with location information from human users to comply with the GDPR.


Author(s):  
Ajaysinh Devendrasinh Rathod ◽  
Saurabh Shah ◽  
Vivaksha J. Jariwala

In recent trends, growth of location based services have been increased due to the large usage of cell phones, personal digital assistant and other devices like location based navigation, emergency services, location based social networking, location based advertisement, etc. Users are provided with important information based on location to the service provider that results the compromise with their personal information like user’s identity, location privacy etc. To achieve location privacy of the user, cryptographic technique is one of the best technique which gives assurance. Location based services are classified as Trusted Third Party (TTP) & without Trusted Third Party that uses cryptographic approaches. TTP free is one of the prominent approach in which it uses peer-to-peer model. In this approach, important users mutually connect with each other to form a network to work without the use of any person/server. There are many existing approaches in literature for privacy preserving location based services, but their solutions are at high cost or not supporting scalability.  In this paper, our aim is to propose an approach along with algorithms that will help the location based services (LBS) users to provide location privacy with minimum cost and improve scalability.


2013 ◽  
Vol 20 (1) ◽  
pp. 75-76
Author(s):  
Barry Barber ◽  
Maureen Scholes ◽  
Michael Fairey ◽  
Jean Roberts

Author(s):  
Ch. Himabindu

The availability of realistic network data plays a significant role in fostering collaboration and ensuring U.S. technical leadership in network security research. Unfortunately, a host of technical, legal, policy, and privacy issues limit the ability of operators to produce datasets for information security testing. In an effort to help overcome these limitations, several data collection efforts (e.g., CRAWDAD[14], PREDICT [34]) have been established in the past few years. The key principle used in all of these efforts to assure low-risk, high-value data is that of trace anonymization—the process of sanitizing data before release so that potentially sensitive information cannot be extracted.


2018 ◽  
Vol 26 (3) ◽  
pp. 327-337 ◽  
Author(s):  
Debi Ashenden

Purpose The purpose of this study is to uncover employee attitudes towards information security and to address the issue of social acceptability bias in information security research. Design/methodology/approach The study used personal construct psychology and repertory grids as the foundation for the study in a mixed-methods design. Data collection consisted of 11 in-depth interviews followed by a survey with 115 employee responses. The data from the interviews informed the design of the survey. Findings The results of the interviews identified a number of themes around individual responsibility for information security and the ability of individuals to contribute to information security. The survey demonstrated that those employees who thought the that organisation was driven by the need to protect information also thought that the risks were overstated and that their colleagues were overly cautious. Conversely, employees who thought that the organisation was driven by the need to optimise its use of information felt that the security risks were justified and that colleagues took too many risks. Research limitations/implications The survey findings were not statistically significant, but by breaking the survey results down further across business areas, it was possible to see differences within groups of individuals within the organisation. Originality/value The literature review highlights the issue of social acceptability bias and the problem of uncovering weakly held attitudes. In this study, the use of repertory grids offers a way of addressing these issues.


Author(s):  
Stephen E. Fienberg ◽  
Aleksandra B. Slavković

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