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Migration of existing software systems to mobile computing platforms:a systematic mapping study

Frontiers of Computer Science 2021年第2期15卷 13-37页

作者： ibrahim alseadoon Aakash AHMAD Adel ALKHALIL Khalid SULTAN College of Computer Science and Engineering University of Ha’ilHa’il2440Saudi Arabia College of Engineering and Applied Sciences American University of KuwaitSalmiya13034Kuwait

Mobile computing has fast emerged as a pervasive technology to replace the old computing paradigms with portable computation and context-aware *** software systems can be migrated(while preserving their data and logic)to mobile computing platforms that support portability,context-sensitivity,and enhanced *** recent years,some research and development efforts have focused on a systematic migration of existing software systems to mobile computing *** investigate the research state-of-the-art on the migration of existing software systems to mobile computing *** aim to analyze the progression and impacts of existing research,highlight challenges and solutions that reflect dimensions of emerging and futuristic *** followed evidence-based software engineering(EBSE)method to conduct a systematic mapping study(SMS)of the existing research that has progressed over more than a decade(25 studies published from 1996–2017).We have derived a taxonomical classification and a holistic mapping of the existing research to investigate its progress,impacts,and potential areas of futuristic research and *** SMS has identified three types of migration namely Static,Dynamic,and State-based Migration of existing software systems to mobile computing *** to mobile computing platforms enables existing software systems to achieve portability,context-sensitivity,and high ***,mobile systems may face some challenges such as resource poverty,data security,and *** emerging and futuristic research aims to support patterns and tool support to automate the migration *** results of this SMS can benefit researchers and practitioners-by highlighting challenges,solutions,and tools,etc.,-to conceptualize the state-of-the-art and futuristic trends that support migration of existing software to mobile computing.

关键词： evidence-based software engineering mapping study software evolution mobile computing

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LBC-IoT: Lightweight Block Cipher for IoT Constraint Devices

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Computers, Materials & Continua 2021年第6期67卷 3563-3579页

作者： Rabie A.Ramadan Bassam W.Aboshosha Kusum Yadav ibrahim M.alseadoon Munawar J.Kashout Mohamed Elhoseny College of Computer Science and Engineering University of Ha’ilHa’il81481Saudi Arabia Department of Computer Engineering Faculty of EngineeringCairo UniversityCairo12613Egypt Department of Computer Engineering Higher Institute of EngineeringElshorouk AcademyCairoEgypt Faculty of Computers and Information Mansoura UniversityEgypt College of Computer Information Technology American University in the EmiratesUnited Arab Emirates

With the new era of the Internet of Things(IoT)technology,many devices with limited resources are *** devices are susceptible to a signicant number of new malware and other risks emerging *** of the most appropriate methods for securing those IoT applications is cryptographic algorithms,as cryptography masks information by eliminating the risk of collecting any meaningful information *** ensures that all data communications are private,accurate,authenticated,authorized,or *** conventional cryptographic algorithms have been developed specically for devices with limited resources;however,it turns out that such algorithms are not ideal for IoT restricted devices with their current ***,lightweight block ciphers are gaining popularity to meet the requirements of low-power and constrained devices.A new ultra-lightweight secret-key block-enciphering algorithm named“LBC-IoT”is proposed in this *** proposed block length is 32-bit supporting key lengths of 80-bit,and it is mainly based on the Feistel ***-efcient cryptographic features in“LBC-IoT”include the use of simple functions(shift,XOR)and small rigid substitution boxes(4-bit-S-boxes).Besides,it is immune to different types of attacks such as linear,differential,and side-channel as well as exible in terms of ***,LBC-IoT achieves reasonable performance in both hardware and software compared to other recent ***-IoT’s hardware implementation results are very promising(smallest ever area“548”GE)and competitive with today’s leading lightweight ***-IoT is also ideally suited for ultra-restricted devices such as RFID tags.

关键词： Security internet of things cryptographic algorithms block cipher lightweight algorithms

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