Securing Enterprise Data on Smartphones Using Run Time Information Flow Control

Kodeswaran, Palanivel; Nandakumar, Vikrant; Kapoor, Shalini; Kamaraju, Pavan; Joshi, Anupam; Mukherjea, Sougata

doi:10.1109/mdm.2012.50

Cited by 27 publications

(3 citation statements)

References 10 publications

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“…Various already present solutions has a provision to support encryption of full disk with plausible deniability in the released desktop operating system. True Crypt [8] is a well known system among the PDE tools. To the best of our knowledge, Mobiflage [9] is the first PDE system for android devices, and it is implemented based on a physical or emulated SD card with a FAT32 file system.…”

Section: Techniques Used For Detection and Security Of Theft Android mentioning

confidence: 99%

Anti Theft Hybrid Solution for Tracking & Locating Mobile Devices with Data Security

2019

ijrte

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With passage in technical and scientific knowledge, the execution and accomplishment of mobile devices is increasing. The usage of smartphones is becoming generous now a days. Since the performance and use of these smart devices is expanding to a larger extent because of their capability to reserve a vast amount of data varying from a simple multimedia file such as images, videos to those important information regarding contacts, messages etc. These smart devices are sometimes also used to store more complex information such as those important and sensitive details regarding bank accounts, passwords, ATM pins etc. Since all these information can lead to various kinds of thefts. Therefore protecting this information from unwanted theft of mobile smart devices and tracking the stolen device is a must. This paper presents an approach to an application that will help to protect the valuable data of the owner and helps to track the device when it is stolen by any unwanted means. This application will use the internal camera of the smartphones that will start capturing the activity when the application starts. The application will run in the background and will not be available in android launcher so that the one who has stolen the device will never get to know that he has been captured along with his location.

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Section: Techniques Used For Detection and Security Of Theft Android mentioning

confidence: 99%

Anti Theft Hybrid Solution for Tracking & Locating Mobile Devices with Data Security

2019

ijrte

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“…In this work, the authors state that the privacy of users and smartphone under this framework are protected using embedded semantic policies that are based on the user's privacy and settings [30]. Kodeswaran et al [31] have shown a framework to execute the privacy policies on smartphones, and to protect the enterprise data. The authors have defined their privacy policies of acceptable information flow on mobile devices.…”

Section: B Data Protection and Privacymentioning

confidence: 99%

“…They purpose detection malicious data access approach for data protection and upgrade the lock screen system for smartphone authentication. The [30] and [31], articles provide a framework to execute privacy policies to protect user data and enterprise data.…”

Section: Performance Comparisonmentioning

confidence: 99%

A Survey on Security for Smartphone Device

Zaidi¹,

Shah²,

Kamran³

et al. 2016

ijacsa

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Abstract-The technological advancements in mobile connectivity services such as GPRS, GSM, 3G, 4G, Blue-tooth, WiMAX, and Wi-Fi made mobile phones a necessary component of our daily lives. Also, mobile phones have become smart which let the users perform routine tasks on the go. However, this rapid increase in technology and tremendous usage of the smartphones make them vulnerable to malware and other security breaching attacks. This diverse range of mobile connectivity services, device software platforms, and standards make it critical to look at the holistic picture of the current developments in smartphone security research. In this paper, our contribution is twofold. Firstly, we review the threats, vulnerabilities, attacks and their solutions over the period of 2010-2015 with a special focus on smartphones. Attacks are categorized into two types, i.e., old attack and new attacks. With this categorization, we aim to provide an easy and concise view of different attacks and the possible solutions to improve smartphone security. Secondly, we critically analyze our findings and estimate the market growth of different operating systems for the smartphone in coming years. Furthermore, we estimate the malware growth and forecast the world in 2020.

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Securing Business Data on Android Smartphones

El-Serngawy

Talhi

2014

Mobile Web Information Systems

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Securing Enterprise Data on Smartphones Using Run Time Information Flow Control

Cited by 27 publications

References 10 publications

Anti Theft Hybrid Solution for Tracking & Locating Mobile Devices with Data Security

Anti Theft Hybrid Solution for Tracking & Locating Mobile Devices with Data Security

A Survey on Security for Smartphone Device

Securing Business Data on Android Smartphones

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