Survey on security threats of smartphones in Internet of Things

Khan, Muhammad Asim; Shah, Munam Ali

doi:10.1109/iconac.2016.7604979

Cited by 17 publications

(15 citation statements)

References 23 publications

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“…Threats and attacks on the smartphone and IoT devices can be divided into the following categories as reported in [64]:…”

Section: Security and Privacy Challenges Concerning The Use Of Smartpmentioning

confidence: 99%

“…Other smartphones attacks discussed in [64] include "financial malware attacks, network spoofing attacks, phishing attacks, surveillance attacks and network congestion attacks" [64].…”

Section: Security and Privacy Challenges Concerning The Use Of Smartpmentioning

confidence: 99%

“…Authors in [64] divide security violation into five categories, which are the following: (1) "breach of confidentiality" when "an unauthorized person reads and gets access to the data" [64], (2) "breach of integrity" when "the attacker reads and modifies the data" [64], (3) "breach of availability" when "the attacker destroys and deletes the data" [64], (4) "denial of service" when "the attacker attacks the limited resources of the smartphone like filling its memory, draining its battery, etc. and therefore makes it unable to communicate with other IoT devices" [64], and (5) "theft of services" when "the resources are used by an unauthorized person" [64].…”

Section: Security and Privacy Challenges Concerning The Use Of Smartpmentioning

confidence: 99%

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Smartphone: The Ultimate IoT and IoE Device

Khaddar¹,

Boulmalf²

2017

Smartphones From an Applied Research Perspective

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Internet of Things (IoT) and Internet of Everything (IoE) are emerging communication concepts that will interconnect a variety of devices (including smartphones, home appliances, sensors, and other network devices), people, data, and processes and allow them to communicate with each other seamlessly. These new concepts can be applied in many application domains such as healthcare, transportation, and supply chain management (SCM), to name a few, and allow users to get real-time information such as location-based services, disease management, and tracking. The smartphone-enabling technologies such as built-in sensors, Bluetooth, radio-frequency identification (RFID) tracking, and nearfield communications (NFC) allow it to be an integral part of IoT and IoE world and the mostly used device in these environments. However, its use imposes severe security and privacy threats, because the smartphone usually contains and communicates sensitive private data. In this chapter, we provide a comprehensive survey on IoT and IoE technologies, their application domains, IoT structure and architecture, the use of smartphones in IoT and IoE, and the difference between IoT networks and mobile cellular networks.We also provide a concise overview of future opportunities and challenges in IoT and IoE environments and focus more on the security and privacy threats of using the smartphone in IoT and IoE networks with a suggestion of some countermeasures.

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“…Threats and attacks on the smartphone and IoT devices can be divided into the following categories as reported in [64]:…”

Section: Security and Privacy Challenges Concerning The Use Of Smartpmentioning

confidence: 99%

“…Other smartphones attacks discussed in [64] include "financial malware attacks, network spoofing attacks, phishing attacks, surveillance attacks and network congestion attacks" [64].…”

Section: Security and Privacy Challenges Concerning The Use Of Smartpmentioning

confidence: 99%

Section: Security and Privacy Challenges Concerning The Use Of Smartpmentioning

confidence: 99%

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Smartphone: The Ultimate IoT and IoE Device

Khaddar¹,

Boulmalf²

2017

Smartphones From an Applied Research Perspective

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“…It is not uncommon for Smartphones to be integrated as a key system in IoT and SoS scenarios, despite the known impact this might have to IoT security [35]. This may contribute to the loss of SoS availability and interoperability if the device or operating system is compromised.…”

Section: Hsi Risk Analysis and Interoperability Impactmentioning

confidence: 99%

From Requirements to Operation: Components for Risk Assessment in a Pervasive System of Systems

Ki-Aries

Doğan

Faily

et al. 2017

2017 IEEE 25th International Requirements Engineering Conference Workshops (REW)

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Abstract-Framing Internet of Things (IoT) applications as a System of Systems (SoS) can help us make sense of complexity associated with interoperability and emergence. However, assessing the risk of SoSs is a challenge due to the independence of component systems, and their differing degrees of control and emergence. This paper presents three components for SoS risk assessment that integrate with existing risk assessment approaches: Human System Integration (HSI), Interoperability identification and analysis, and Emergent behaviour evaluation and control measures. We demonstrate the application of these components by assessing a pervasive SoS: a SmartPowerchair.

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“…As the number of smartphones and tablets increasing day by day (Khan and Shah, 2016), it is important to test the application on multiple devices. Figure 7 and Figure 8 shows LSIViewer running on a mobile web browser on both smartphone and a tablet.…”

Section: Rendering On Multiple Devicesmentioning

confidence: 99%

Lsiviewer 2.0 – A Client-Oriented Online Visualization Tool For Geospatial Vector Data

Manikanta

Rajan

2017

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Geospatial data visualization systems have been predominantly through applications that are installed and run in a desktop environment. Over the last decade, with the advent of web technologies and its adoption by Geospatial community, the server-client model for data handling, data rendering and visualization respectively has been the most prevalent approach in Web-GIS. While the client devices have become functionally more powerful over the recent years, the above model has largely ignored it and is still in a mode of serverdominant computing paradigm. In this paper, an attempt has been made to develop and demonstrate LSIViewer -a simple, easy-to-use and robust online geospatial data visualisation system for the user's own data that harness the client's capabilities for data rendering and user-interactive styling, with a reduced load on the server. The developed system can support multiple geospatial vector formats and can be integrated with other web-based systems like WMS, WFS, etc. The technology stack used to build this system is Node.js on the server side and HTML5 Canvas and JavaScript on the client side. Various tests run on a range of vector datasets, upto 35MB, showed that the time taken to render the vector data using LSIViewer is comparable to a desktop GIS application, QGIS, over an identical system.

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Survey on security threats of smartphones in Internet of Things

Cited by 17 publications

References 23 publications

Smartphone: The Ultimate IoT and IoE Device

Smartphone: The Ultimate IoT and IoE Device

From Requirements to Operation: Components for Risk Assessment in a Pervasive System of Systems

Lsiviewer 2.0 – A Client-Oriented Online Visualization Tool For Geospatial Vector Data

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