Survey on Mobile Computing Security

Gangula, Arunkumar; Ansari, Saad; Gondhalekar, Mayur

doi:10.1109/ems.2013.89

Cited by 9 publications

(6 citation statements)

References 6 publications

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“…It has its own Androidbased operating system, called PrivatOS, which includes a privacy-focused application store (called Silent Store) that takes care of the problem of applications which ask for certain permissions that can lead, for instance, to personal data leakage [11]. This BlackPhone also allows a remote wiping of the data if the device is lost or stolen.…”

Section: State Of the Artmentioning

confidence: 99%

“…In addition, security threats have evolved too [11], so that new security measures have to be adopted every time ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of a national government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.…”

Section: Introductionmentioning

confidence: 99%

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Soft Computing Techniques Applied to Corporate and Personal Security

Delgado

Merelo

García‐Sánchez

2015

Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation

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Inside a "Bring Your Own Device" environment, the employees can freely use their devices. This allows them mix their personal and work life, but at the same time, if the users are not aware of a risky situation, or that situation is not covered by a company security policy or rule, this environment can become very insecure. The aim of this paper is defining a novel system architecture able to self-adapt itself, in the sense that it will learn from past, non secure situations, and therefore will be able to determine whether a new situation is risky or not.This Paper proposes the use of a variety of techniques, from Data Mining of big amounts of recorded data to Evolutionary Algorithms for refining a set of existing policies, maybe creating new ones. A preliminary method that automatically extracts rules to avoid or deny URL connections helps to demonstrate that, by performing a good preprocessing of the data, useful conclusions can be extracted from new -unknown -situations. Therefore, it is possible to successfully extend a set of rules, usually laid out by the company, for covering new, and potentially dangerous, situations.

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Section: State Of the Artmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Soft Computing Techniques Applied to Corporate and Personal Security

Delgado

Merelo

García‐Sánchez

2015

Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation

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“…It has its own Androidbased operating system, called PrivatOS (40), which includes a privacy-focused application store, called Silent Store, that takes care of the problem of applications which ask for certain permissions that can lead, for instance, to personal data leakage (3). BlackPhone also allows a remote wiping of the data if the device is lost or stolen.…”

Section: Blackphonementioning

confidence: 99%

“…But data security and privacy are key factors for a company, and thus, in order to protect them, it is usual that the Chief Security Officer (CSO) of a company defines a set of Organizational Security Policies (2); allowing a BYOD environment implies taking care of the risks that the use of personal devices can bring to the company (3). For instance, the mixture between personal and professional information in these devices would allow the user to navigate inside social networks, where important data could be leaked in the event of a security incident.…”

Section: Introductionmentioning

confidence: 99%

Corporate security solutions for BYOD: A novel user-centric and self-adaptive system

Cuevas

Mora

Merelo

et al. 2015

Computer Communications

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“…Mobile protection is an environment which has not been provided much consideration by smartphone users to date [2]. That's evolving now, though, because of a number of reasons that exist in the smartphone industry.…”

Section: Introductionmentioning

confidence: 99%

Artificial Intelligence Techniques for Enhancing Smartphone Application Development on Mobile Computing

Manikanthan¹,

Padmapriya²,

Hussain

et al. 2020

Int. J. Interact. Mob. Technol.

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<p>Nowadays, Artificial Intelligence is being integrated into the modern innovations, including mobile, Electronic gadgets and as well as our daily lives. The smartphones are becoming a crucial and indistinguishable part of modern life. Whether that be in terms of speech, prototype, efficiency, features, quality and so forth, together all system requirements are provided in one machine. Researchers and innovations analysts are making advances in mobile computing with the excellent technologies. While Artificial Intelligence as a commercial product has been directly accessible. In this, both corporations and violent offenders take benefit of emerging technologies and advances. Cyber-security specialists and authorities have predicted there have been high possibilities of cyber-attacks. There's really, besides that, a need to improve quite advanced and powerful data security processes and software to protect all fraudulent activities and threats. The objective of this study is to introduce latest developments of implementing Methodologies to mobile computing, to prove how such techniques could become an efficient resource for data security and protocols, and to provide scope for future research.</p>

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Survey on Mobile Computing Security

Cited by 9 publications

References 6 publications

Soft Computing Techniques Applied to Corporate and Personal Security

Soft Computing Techniques Applied to Corporate and Personal Security

Corporate security solutions for BYOD: A novel user-centric and self-adaptive system

Artificial Intelligence Techniques for Enhancing Smartphone Application Development on Mobile Computing

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