How Dangerous Are Your Smartphones? App Usage Recommendation with Privacy Preserving

Zhu, Konglin; He, Xiao-Song; Xiang, Bin; Zhang, Lin; Pattavina, Achille

doi:10.1155/2016/6804379

Cited by 13 publications

(10 citation statements)

References 10 publications

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“…From the detection of bank robberies to the management of crowds in public spaces, the geolocation of individuals via social media and smart phones has become a routine part of police work (Ferguson 2017; Zhu et al . 2016). Social networking theory informs analysis of social media relationships in efforts to identify individuals at risk of becoming engaged in gang‐related crime, indicating that crime prevention strategies can also utilise online activity (Joh 2014).…”

Section: Offending Perpetrators and The Spatial Imaginarymentioning

confidence: 99%

Towards a Criminology of the Domestic

Davies

Rowe

2020

Howard J Crime Justice

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Criminology has paid insufficient attention to the 'domestic' arena, as a locale that is being reconfigured through technological and social developments in ways that require us to reconsider offending and victimisation. This article addresses this lacuna. We take up Campbell's (2016) challenge that criminology needs to develop more sophisticated models of place and space, particularly in relation to changing patterns of consumption and leisure activity and the opportunities to offend in relation to these from within the domestic arena.Criminological theory and empirical work have drawn upon concepts of space and place across the history of the discipline and many of its traditions. Important and useful though much of this work is, we argue that there has been a problematic tendency to focus largely or entirely on the public realm. Criminology, we argue, needs to take up challenges from social geography that require space and place to be considered in more complex ways, beyond a flat two-dimensional cartography, and understand the social, cultural, and lived experiences that give territory meaning. Technological change provides another set of reasons to develop a more sophisticated appreciation of space and place, since it transforms sites of offending and victimisation such that personal and private places can become as criminologically significant as those public domains that have been the traditional focus of disciplinary enquiry.The domestic environment has largely been conceptualised as private space and criminology has tended to dwell on the problem of crime, order, and incivilities in public places and spaces: domains that have been the focus of criminal justice policy and practice. Tapping into this broader critique of criminology's failure to be sensitive to the important linkage between crime and place, we are proposing a criminology of the domestic.Here we begin to illustrate how the home and the domestic environment more broadly is the site and relational nexus for a much wider range of harms, victimisation, and criminal activity.

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Section: Offending Perpetrators and The Spatial Imaginarymentioning

confidence: 99%

Towards a Criminology of the Domestic

Davies

Rowe

2020

Howard J Crime Justice

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“…There are also several recommendation systems that take other factors into consideration. For example, Zhu et al [8] combine both the user preference to mobile Apps and the privacy risk of Apps and propose a mobile App usage recommendation method named AppURank to recommend the secure Apps for users. Ge et al [9] provide two costaware latent factor models to recommend travel packages by considering both the travel cost and the tourists interests and design a cPMF model that models the tourists cost with a 2-dimensional vector and a GcPMF model where the Gaussian prior is used to express the uncertainty of the travel cost.…”

Section: Related Workmentioning

confidence: 99%

“…In this work, we use the data set which is introduced in our previous work [8] for analysis. In order to obtain such data, we designed a mobile App named AntTest (http://www.wandoujia.com/apps/edu.bupt.anttest) on Android platform.…”

Section: Data Setmentioning

confidence: 99%

A Mobile Application Recommendation Framework by Exploiting Personal Preference with Constraints

Zhu

Liu

Zhang

et al. 2017

Mobile Information Systems

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Explosive mobile applications (Apps) are proliferating with the popularity of mobile devices (e.g., smartphones, tablets). These Apps are developed to satisfy different function needs of users. Majority of existing App Stores have difficulty in recommending proper Apps for users. Therefore, it is of significance to recommend mobile Apps for users according to personal preference and various constraints of mobile devices (e.g., battery power). In this paper, we propose a mobile App recommendation framework by incorporating different requirements from users. We exploit modern portfolio theory (MPT) to combine the popularity of mobile Apps, personal preference, and mobile device constraints for mobile App recommendation. Based on this framework, we discuss the recommendation approaches by constraints of phone power and limited mobile data plan. Extensive evaluations show that the proposed mobile App recommendation framework can well adapt to power and network data plan constraints. It satisfies the user App preference and mobile device constraints.

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“…Mobile devices have to face a number of issues due to the resource constraints (performance issue [1,2], e.g.) and also security issues (data leakage [3,4], privacy concern [5,6], etc.). In particular, the latter may be affected by the applications installed.…”

Section: Introductionmentioning

confidence: 99%

The Dangers of Rooting: Data Leakage Detection in Android Applications

Casati

Visconti

2018

Mobile Information Systems

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Mobile devices are widely spread all over the world, and Android is the most popular operative system in use. According to Kaspersky Lab's threat statistic (June 2017), many users are tempted to root their mobile devices to get an unrestricted access to the file system, to install different versions of the operating system, to improve performance, and so on. e result is that unintended data leakage flaws may exist. In this paper, we (i) analyze the security issues of several applications considered relevant in terms of handling user sensitive information, for example, financial, social, and communication applications, showing that 51.6% of the tested applications suffer at least of an issue and (ii) show how an attacker might retrieve a user access token stored inside the device thus exposing users to a possible identity violation. Notice that such a token, and a number of other sensitive information, can be stolen by malicious users through a man-in-the-middle (MITM) attack.

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How Dangerous Are Your Smartphones? App Usage Recommendation with Privacy Preserving

Cited by 13 publications

References 10 publications

Towards a Criminology of the Domestic

Towards a Criminology of the Domestic

A Mobile Application Recommendation Framework by Exploiting Personal Preference with Constraints

The Dangers of Rooting: Data Leakage Detection in Android Applications

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