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Browsing SCOPUS by Author "11139534100"

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    Publication
    Embedded Devices Security: Design and Implementation of a Light RDBMS Encryption Utilizing Multi-Core Processors
    (Institute of Electrical and Electronics Engineers Inc., 2023)
    Alomari M.A.
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    Aris H.
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    Ghaleb M.
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    Almurtadha Y.
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    Alkawsi G.A.
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    Al-Hadi I.A.A.-Q.
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    Baashar Y.
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    Samsudin K.
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    55627877302
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    13608397500
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    56184486500
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    36349943900
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    57191982354
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    54960877700
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    56768090200
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    11139534100
    The pervasive proliferation of embedded, mobile, and IoT devices continue to change our lifestyle dramatically. However, the huge increase in these devices has come with critical breaches to data resting inside them. Many types of such data are considered to be sensitive and confidential. Because the most sensitive data of such devices are resting in databases, focusing on encrypting SQLite databases will be more efficient than full disk encryption (FDE). While SQLite is a very popular, lightweight, and easy-to-use relational database suitable for embedded and mobile devices, its stored data suffers serious security risks. If an attacker can gain access to higher system privileges or find a way to access the database plain file, he can tamper with the database files and user-sensitive data, which breaches the security CIA triad of SQLite. To ensure data confidentiality in SQLite databases of embedded devices, we present a design and implementation of a parallel database encryption system, called SQLite-XTS. The developed system encrypts the database pages on- the-fly in a transparent manner without user intervention. Because performance is a critical issue, SQLite-XTS utilizes multi-core processors coming with most current mobile and embedded devices. The developed parallel SQLite-XTS was successfully implemented and integrated into a testbed device. To assess the performance and feasibility of this system, it was compared to three other SQLite implementations: plain SQLite, serial XTS SQLite, and SQLCipher-CBC. The results show that SQLite-XTS reduces the overhead of database encryption from 30.8% with serial implementation to 17.8% when SQLite-XTS is used. This provides the developed system with an efficiency of 73% compared with its serial counterpart. The results clarify that SQLite-XTS introduces significant performance improvements compared to other implementations. Experiments also show that the system has a very low impact on the memory of these resource-limited devices. � 2013 IEEE.
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    Publication
    System design optimization for stand-alone photovoltaic systems sizing by using superstructure model
    (Institute of Physics Publishing, 2013)
    Azau M.A.M.
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    Jaafar S.
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    Samsudin K.
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    36068973900
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    57193688342
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    11139534100
    Although the photovoltaic (PV) systems have been increasingly installed as an alternative and renewable green power generation, the initial set up cost, maintenance cost and equipment mismatch are some of the key issues that slows down the installation in small household. This paper presents the design optimization of stand-alone photovoltaic systems using superstructure model where all possible types of technology of the equipment are captured and life cycle cost analysis is formulated as a mixed integer programming (MIP). A model for investment planning of power generation and long-term decision model are developed in order to help the system engineer to build a cost effective system. � Published under licence by IOP Publishing Ltd.