Security of MBAN based Health Records in Mobile Broadband Environment

Acharya, Debopam; Kumar, Vijay

doi:10.1016/j.procs.2011.07.070

Cited by 6 publications

(7 citation statements)

References 6 publications

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“…Descriptive Analysis is applied to understand the level of agreements among the mobile phone users related to the proposed techniques of multi-factoring, ciphering and watermarking.In the descriptive analysis, each of the items in each of components A, B, C, and D is measured in terms of mean, standard deviation, level, and rank. The mean value is considered the highest if it is at the highest rank which starts with rank 1.In this analysis, level of agreement is determined based on three (3) categories namely low, moderate, and high with the minimum value range is set not less than one (1), and maximum range is not more than five (5). Therefore, the formula to set the range for each category should be set as (5-1) / 3 = 1.33 based on the formula adopted by George and Mallery (2013).…”

Section: Descriptive Analysismentioning

confidence: 99%

“…Wireless communications using mobile phones are not safe and have very high risk of being hacked if not properly protected (Acharya and Kumar, 2011;Belkhedeet al, 2012;Elkhart al., 2012).The hackers may intrude to steal or sniff the information or data being communicated using mobile apps.The mobile communications involving the use of apps can be protected by controlling the access to the apps by using user authentication with unique username and password.…”

Section: Introductionmentioning

confidence: 99%

“…One of the ways is using multi-factor user authentication which uses more than username and password as the authentication. Location signature and time (Acharya and Kumar, 2011), IMEI and SIM Card Numbers (Elkhodret al, 2012), biometric and pin number (Menget al, 2015) are among the proposed elements of multi-factor user authentication.…”

Section: Introductionmentioning

confidence: 99%

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An Improved User Authentication Model for Mobile Application Systems: Statistical Assessment of User Acceptance

Mohamed*,

Sidi,

Ishak

et al. 2019

IJEAT

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One of the reasons mobile phones become one of the worldwide commonly usedcommunication devices nowadays is because they allow the installation of various mobile apps which are mostly interesting and useful to mobiles users. Unfortunately, mobile apps involve transmissions of digital data wirelessly and vulnerable to hacking activities. An improved user authentication modelhas been introduced in this study. Its strength in preventing hacking activities and the level of user acceptance are being analyzed. The strength is built based on the multi-factoring, ciphering and watermarking techniques being introduced in the model. It is technically measured based on the vulnerability and penetration tests done by an appointed independent party but excluded in this paper. On the other hand, the level of acceptance is measured using a quantitative method. Even though the quantitative method in this study undergoes expert review, pilot study and survey, this paper only focuses on the survey since its outcome is used to conclude the level of acceptance by mobile users. The statistical analysis results indicate that mobile users perceive ciphering technique contributes the most to this strength while watermarking technique has the strongest relationshipsandbecome the dominant factor in making the model acceptable by users.

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Section: Descriptive Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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An Improved User Authentication Model for Mobile Application Systems: Statistical Assessment of User Acceptance

Mohamed*,

Sidi,

Ishak

et al. 2019

IJEAT

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show abstract

“…Communication using mobiles are vulnerable to hacking activities by intruders [1], [8], [11] which mean good protection is required for any communications done using mobile devices including mobile phones. Mobile apps are among those that require such protection.…”

Section: Introductionmentioning

confidence: 99%

“…Mobile apps are among those that require such protection. The protection of mobile apps can be obtained by using strong user authentication such as multi-factor user authentication [1], [11], [5]. This means more than the normal single-factor (e.g.…”

Section: Introductionmentioning

confidence: 99%

An Improved User Authentication Model for Mobile Application Systems: An Expert Review Verification

Mohamed¹

2019

IJATCSE

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Mobile application systems (mobile apps) are now being commonly installed in smart phones or mobile devices. Many of these mobile apps are dealing with sensitive or confidential information that requires good protection using strong user authentication. This study has proposed an improved user authentication model which is aimed not only to obtain strong user authentication but also to be acceptable by users. The strong user authentication is achieved using the combination of three security techniques namely multi-factoring, ciphering and watermarking techniques while the level of acceptance by users is measured using a quantitative research method. This method consists of three research instruments namely expert review, pilot study and survey. However, this paper only focuses on how the expert review is being carried out to obtain the consent whether the proposed model is valid and feasible. Questionnaires for the expert review are constructed based on the model being proposed including the techniques and targeted benefits. From the review results, a modification is required related to the number of expert reviewers to be increased. Others are just suggestions which are not critically affecting the study. With this modification being done, and justifications being made, the expert reviewers finally agree that the proposed model is valid and feasible. This means the proposed model is capable in providing strong and acceptable user authentication for mobile apps.

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Real-time vital signs monitoring and interpretation system for early detection of multiple physical signs in older adults

Baig

GholamHosseini

Connolly

et al. 2014

IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)

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Security of MBAN based Health Records in Mobile Broadband Environment

Cited by 6 publications

References 6 publications

An Improved User Authentication Model for Mobile Application Systems: Statistical Assessment of User Acceptance

An Improved User Authentication Model for Mobile Application Systems: Statistical Assessment of User Acceptance

An Improved User Authentication Model for Mobile Application Systems: An Expert Review Verification

Real-time vital signs monitoring and interpretation system for early detection of multiple physical signs in older adults

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