Smartphone Security

Flynn, Lori; Klieber, Will

doi:10.1109/mprv.2015.67

Cited by 17 publications

(3 citation statements)

References 7 publications

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“…Se han de discriminar dos dominios; el uno en cuanto a las aplicaciones que operan en el teléfono móvil inteligente y por otra parte los privilegios y permisos para acceder a los datos dentro del dispositivo [11].…”

Section: Características Del Entornounclassified

Consideraciones de seguridad para el comercio electrónico en dispositivos móviles inteligentes

Ponce,

Cedeño

2024

Braz. J. Develop.

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El comercio electrónico en entornos móviles tiene más de tres décadas de investigación y desarrollo. Sin embargo, los cambios tecnológicos hacia redes de telecomunicaciones de 5G y las plataformas de computación en la nube plantean nuevos retos y oportunidades. Este artículo aborda desde una perspectiva histórica los principios de diseño más relevantes, las vulnerabilidades, riesgos, amenazas y las oportunidades, así también los criterios para la implementación cuidadosa de aplicaciones seguras y robustas, al final del artículo se presenta una propuesta de seguridad en este entorno.

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Section: Características Del Entornounclassified

Consideraciones de seguridad para el comercio electrónico en dispositivos móviles inteligentes

Ponce,

Cedeño

2024

Braz. J. Develop.

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“…Similarly, the security approaches implemented for personal computers, such as desktops and laptops, may also be performed for mobile devices, such as smartphones. On the other hand, cell phones have a few distinguishing characteristics that lead to significant issues with ensuring their security [28]. For example, products designed for the general public, such as smartphones, are typically open platform systems with multiple entry points and central data management, making them vulnerable to theft and loss.…”

Section: Introductionmentioning

confidence: 99%

A Systematic Literature Review and a Conceptual Framework Proposition for Advanced Persistent Threats (APT) Detection for Mobile Devices Using Artificial Intelligence Techniques

2023

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Advanced persistent threat (APT) refers to a specific form of targeted attack used by a well-organized and skilled adversary to remain undetected while systematically and continuously exfiltrating sensitive data. Various APT attack vectors exist, including social engineering techniques such as spear phishing, watering holes, SQL injection, and application repackaging. Various sensors and services are essential for a smartphone to assist in user behavior that involves sensitive information. Resultantly, smartphones have become the main target of APT attacks. Due to the vulnerability of smartphone sensors, several challenges have emerged, including the inadequacy of current methods for detecting APTs. Nevertheless, several existing APT solutions, strategies, and implementations have failed to provide comprehensive solutions. Detecting APT attacks remains challenging due to the lack of attention given to human behavioral factors contributing to APTs, the ambiguity of APT attack trails, and the absence of a clear attack fingerprint. In addition, there is a lack of studies using game theory or fuzzy logic as an artificial intelligence (AI) strategy for detecting APT attacks on smartphone sensors, besides the limited understanding of the attack that may be employed due to the complex nature of APT attacks. Accordingly, this study aimed to deliver a systematic review to report on the extant research concerning APT detection for mobile sensors, applications, and user behavior. The study presents an overview of works performed between 2012 and 2023. In total, 1351 papers were reviewed during the primary search. Subsequently, these papers were processed according to their titles, abstracts, and contents. The resulting papers were selected to address the research questions. A conceptual framework is proposed to incorporate the situational awareness model in line with adopting game theory as an AI technique used to generate APT-based tactics, techniques, and procedures (TTPs) and normal TTPs and cognitive decision making. This framework enhances security awareness and facilitates the detection of APT attacks on smartphone sensors, applications, and user behavior. It supports researchers in exploring the most significant papers on APTs related to mobile sensors, services, applications, and detection techniques using AI.

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“…This feature enables Android to be used anywhere and on any device. However, opensource software can be more vulnerable to malicious users and apps than closed proprietary platforms, and Android has accordingly suffered from various security threats in recent years, such as private data leaks [2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Protecting contacts against privacy leaks in smartphones

Cha

Pak

2018

PLoS ONE

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Due to recent developments in technologies associated with the Internet of Things (IoT), a large number of people now regularly use smart devices, such as smartwatches and smartphones. However, these devices are prone to data leaks because of security vulnerabilities. In particular, Android devices use permission-based security, which allows users to directly approve permissions requested by an app when installing it. As a result, many malicious apps can obtain and leak private user data by requesting more permissions than are needed. However, it is difficult to identify malicious apps based solely on the requested permissions. A system is hence needed to accurately identify malicious apps and protect private data from them. In this paper, we propose a system for hiding data related to a user’s contacts or providing virtual data according to preconfigured policies when an Android app requests access to them. By hiding data related to the contacts, the proposed system can protect them from malicious apps. By using virtual data, it can even detect malicious apps that leak private data. The system requires less storage and provides faster access to user contacts than prevalent solutions to similar problems.

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Smartphone Security

Cited by 17 publications

References 7 publications

Consideraciones de seguridad para el comercio electrónico en dispositivos móviles inteligentes

Consideraciones de seguridad para el comercio electrónico en dispositivos móviles inteligentes

A Systematic Literature Review and a Conceptual Framework Proposition for Advanced Persistent Threats (APT) Detection for Mobile Devices Using Artificial Intelligence Techniques

Protecting contacts against privacy leaks in smartphones

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