A Novel Taxonomy for Mobile Applications Data

Alotaibi, Saud

doi:10.17781/p002070

Cited by 9 publications

(3 citation statements)

References 4 publications

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“…In summary, each user file from the dataset was produced to generate different files. The first file was produced after applying the risk model [19] and the second after generating possible biometric samples and then computing the identity confidence value. Finally, the two files were compared and matched at a specific time.…”

Section: Inter-process Determinationmentioning

confidence: 99%

Smartphone Users Transparent Verification Approach for Mobile Applications

Alotaibi¹,

Alruban²,

Alotaibi³

et al. 2019

IJICR

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Mobile phones are used to perform activities such as sending emails, transferring money via mobile Internet banking, making calls, texting, surfing the Internet, viewing documents, storing medical, confidential and personal information, shopping online and playing games. Current authentication approaches do not reauthenticate in order to re-validate the user's identity after accessing a mobile phone. To this end, this paper suggests a novel transparent user authentication method for mobile applications by applying biometric authentication on each service within a single application in a secure and usable manner based on the risk level for each user action. A study involving data collected from 76 users over a one-month period using 12 mobile applications was undertaken to examine the proposed approach. The experimental results show that this approach achieved desirable outcomes for applying a transparent authentication system at an intra-process level, with an average of 5% intrusive authentication requests. Interestingly, when the participants were divided into three levels of usage, the average intrusive authentication request was 2% which indicates a clear enhancement and suggests that the system would add a further level of security without imposing significant inconvenience upon the user.

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Section: Inter-process Determinationmentioning

confidence: 99%

Smartphone Users Transparent Verification Approach for Mobile Applications

Alotaibi¹,

Alruban²,

Alotaibi³

et al. 2019

IJICR

Self Cite

View full text Add to dashboard Cite

show abstract

“…The paper focuses on SMS spam issue since it has been intruding in our daily life that also has caused severe losses. This threat has become more mature and even sophisticated regarding its form in spam dissemination [7] and its unpleasant impact [9], which can be affected by many aspects such as money loss, discredit of reputation, and even time wasting. These adverse effects are borne by individuals, organizations and also governments [7].…”

Section: Introductionmentioning

confidence: 99%

An Immunological-Based Simulation: A Case Study of Risk Concentration for Mobile Spam Context Assessment

Zainal

Jali

2018

International Journal on Advanced Science, Engineering and Information Technology

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Over the past two decades, there has been a substantial increase in spam messages that caused critical impact loss. Besides the factor of integration of Internet and mobile technology, this issue is also due to the human's reaction towards spam. This paper presents RiCCA or Risk Concentration for Context Assessment model that performs a risk classification of text spam messages in Short Message Service (SMS) format. The identified risk levels will assist users in anticipating the potential impact of the spam message that they have been receiving. Danger Theory, a prominent theory from Artificial Immune Systems (AIS), inspires the developed model. During the simulation phase, an immunological-based testing lifecycle is applied, with the deployment of the dataset that is shared at UCI Machine Learning Repository and self-collected messages. The performance of the testing revealed a distinctive result, which more than 80% of true positive rate is achieved, employed with two variants algorithm from the Danger Theory; Dendritic Cell Algorithm (DCA) and Deterministic Dendritic Cell Algorithm (dDCA). This simulation demonstrated that the Danger Theory as a feasible model to be applied in measuring the risk of spam. The further articulation on how this immunological-based testing lifecycle is applied in computer simulation and adopting mobile spam as the case study is clarified thoroughly.

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“…Thus, authentication is vital in securing sensitive data because, after the point-of-entry authentication stage at the beginning of a session that uses a PIN or password, the user of the device can perform almost any task [5]. As a consequence, there is no single level of risk associated with a given application; the risk level should, instead, change during use [6].…”

Section: Introductionmentioning

confidence: 99%

A Systematic Literature Review of Behavioural Profiling for Smartphone Security: Challenges and Open Problems

Alotaibi¹,

Alruban²

2017

IJISR

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Smartphones contain different types of data and applications, such as images, text messages, emails, and mobile banking applications, and may also hold personal and health information. Current authentication approaches do not re-authenticate in order to re-validate the user's identity after the user has initially accessed the mobile phone. Consequently, there is a security benefit if authentication could be applied continuously and transparently (i.e., without obstructing the user's activities) to authenticate legitimate users and be maintained beyond the point of entry. Behavioural profiling is an example of behavioural biometric authentication. The main aim of this research study is to conduct a systematic review of the current research literature regarding behavioural profiling for smartphone security. The paper demonstrates that there is a lack of investigation into behavioural profiling for mobile devices. The study also examines possible challenges in behavioural profiling authentication and points to some of the open problems which need to be tackled.

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A Novel Taxonomy for Mobile Applications Data

Cited by 9 publications

References 4 publications

Smartphone Users Transparent Verification Approach for Mobile Applications

Smartphone Users Transparent Verification Approach for Mobile Applications

An Immunological-Based Simulation: A Case Study of Risk Concentration for Mobile Spam Context Assessment

A Systematic Literature Review of Behavioural Profiling for Smartphone Security: Challenges and Open Problems

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