Classification and Mapping of Adaptive Security for Mobile Computing

Sajjad, Maryam; Ahmad, Aakash; Malik, Asad Waqar; Altamimi, Ahmed B.; Alseadoon, Ibrahim

doi:10.1109/tetc.2018.2791459

Cited by 19 publications

(18 citation statements)

References 20 publications

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“…The applications of context-aware IoTs can range from agent-based systems for smart city systems including but not limited to smart traffic management, smart healthcare, recommender systems and home service autonomous and adaptive agents [24]. However, in the context of mobile-driven context-aware systems, security and privacy of user data and device information are of prime importance [20].…”

Section: Trend Ii: Context-aware Iot Architecturesmentioning

confidence: 99%

Software Architecture Solutions for the Internet of Things: A Taxonomy of Existing Solutions and Vision for the Emerging Research

Ahmad¹,

Abdulaziz²,

Alanazi³

et al. 2019

IJACSA

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Recently, Internet of Thing (IoT) systems enable an interconnection between systems, humans, and services to create an (autonomous) ecosystem of various computation-intensive things. Software architecture supports an effective modeling, specification, implementation, deployment, and maintenance of software-intensive things to engineer and operationalize IoT systems. In order to conceptualize and optimize the role of software architectures for IoTs, there is a dire need for research efforts to analyse the existing research and solutions to formulate the vision for futuristic research and development. In this research, we propose to empirically analyse and taxonomically classify the impacts of research on designing, architecting, and developing IoT-driven software systems. We have conducted a survey-based study of the existing researchinvestigating challenges, solutions and required futuristic effortson architecting IoT systems. The results of survey highlight that software architecture solutions support various research themes for IoT systems such as (i) cloud-based ecosystems, (ii) reference architectures, (ii) autonomous systems, and (iv) agent-based systems for IoT-based software. The results also indicate that any futuristic vision to architect IoT software should incorporate architectural processes, patterns, models and languages to support reusable, automated, and efficient development of IoTs. The proposed research documents structured and systemised knowledge about software architecture to develop IoT systems. Such knowledge can facilitate the researchers and developers to identify the key areas, understand the existing solution and their limitations to conceptualize and propose innovation solutions for existing and emerging challenges related to the development of IoT software.

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Section: Trend Ii: Context-aware Iot Architecturesmentioning

confidence: 99%

Software Architecture Solutions for the Internet of Things: A Taxonomy of Existing Solutions and Vision for the Emerging Research

Ahmad¹,

Abdulaziz²,

Alanazi³

et al. 2019

IJACSA

Self Cite

View full text Add to dashboard Cite

show abstract

“…Specifically, a mobile device acts as a backbone of mobile computing and it represents any (hand-held) equipment or machine that allows its user to perform computation, information sharing, and other relevant activities in a portable fashion, as in Figure 1a. Despite these benefits, there are some critical challenges such as resource scarcity including the processing, storage, energy deficiency, and issues like data security and privacy that needs to be addressed [1,2,18]. Software architecture proved successful in abstracting the complexities of source code modules by representing them as architectural components, whereas the interaction or calls between the modules are represented as the component connectors.…”

Section: Software Architecture For Mobile Cloud Computing Systemsmentioning

confidence: 99%

“…In a survey-based study [20], the authors review the state of the art for MCC technology and its applicability in various domains such as mobile learning, commerce, health, and social media [20]. The authors have also identified the gaps in the existing research that relate to efficient task distribution and data offloading along with security and privacy aspects of the MCC systems [18]. In a similar study, the authors present an overview and a taxonomy of the building blocks for the MCC systems [21].…”

Section: State Of the Art And Open Challenges For MCC Systemsmentioning

confidence: 99%

Software Architecture for Mobile Cloud Computing Systems

et al. 2019

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Mobile cloud computing (MCC) has recently emerged as a state-of-the-art technology for mobile systems. MCC enables portable and context-aware computation via mobile devices by exploiting virtually unlimited hardware and software resources offered by cloud computing servers. Software architecture helps to abstract the complexities of system design, development, and evolution phases to implement MCC systems effectively and efficiently. This paper aims to identify, taxonomically classify, and systematically map the state of the art on architecting MCC-based software. We have used an evidence-based software engineering (EBSE) approach to conduct a systematic mapping study (SMS) based on 121 qualitatively selected research studies published from 2006 to 2019. The results of the SMS highlight that architectural solutions for MCC systems are mainly focused on supporting (i) software as a service for mobile computing, (ii) off-loading mobile device data to cloud-servers, (iii) internet of things, edge, and fog computing along with various aspects like (iv) security and privacy of mobile device data. The emerging research focuses on the existing and futuristic challenges that relate to MCC-based internet of things (IoTs), mobile-cloud edge systems, along with green and energy-efficient computing. The results of the SMS facilitate knowledge transfer that could benefit researchers and practitioners to understand the role of software architecture to develop the next generation of mobile-cloud systems to support internet-driven computing.

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“…There is a body of research carried to support secure mobile computing [34] in general and Android systems security [13,14], in particular. In this section, we highlight the most relevant research related to ICC that is focused on application failures and security issues involving intents.…”

Section: Related Workmentioning

confidence: 99%

CrashSafe: a formal model for proving crash-safety of Android applications

Khan

Ullah

Ahmad

et al. 2018

Hum. Cent. Comput. Inf. Sci.

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IntroductionMobile devices have become an indispensable part of modern life style. Originally designed and built to facilitate remote communications such as phone calls and text messaging, mobile devices now support portable computing, context-aware communication, enhanced user interaction, and high-connectivity systems [36]. The operating system-that powers-up mobile devices-enables the execution of third party applications (apps for short) that support a variety of tasks on the go [21]. These capabilities of modern mobile devices make them smart and open up the gate for a multitude of applications that support a variety of tasks that includes but not limited to mobile commerce, health monitoring, and location querying [12]. There are thousands of mobile AbstractEach software application running on Android powered devices consists of application components that communicate with each other to support application's functionality for enhanced user experience of mobile computing. Application components inside Android system communicate with each other using inter-component communication mechanism based on messages called intents. An android application crashes if it invokes an intent that can not be received by (or resolved to) any application on the device. Application crashes represent a severe fault that relates to compromised users' experience, consequently resulting in decreased ratings, usage trends and revenues for such applications. To address this issue-by formally proving crash-safety property of Android applications-we have defined a formal model of Android inter-component communication using Coq theorem prover. The mathematical model defined in theorem prover allows one to prove the properties of inter-component communication system and check the correctness of the proof in an automated way. To demonstrate the significance of the formal model developed, we carried proof of crash-safety of Android applications using Coq tool. The proposed solution named CrashSafe supports a formal approach that enables one to (i) check the correctness of inter-component communication in Android systems and (ii) establish a formal foundation for other tools to assess Android applications' reliability and safety.

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Classification and Mapping of Adaptive Security for Mobile Computing

Cited by 19 publications

References 20 publications

Software Architecture Solutions for the Internet of Things: A Taxonomy of Existing Solutions and Vision for the Emerging Research

Software Architecture Solutions for the Internet of Things: A Taxonomy of Existing Solutions and Vision for the Emerging Research

Software Architecture for Mobile Cloud Computing Systems

CrashSafe: a formal model for proving crash-safety of Android applications

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