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                <text>Basid, Puspa Miladin Nuraida Safitri A</text>
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                <text>Ramdani, Fatwa</text>
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                <text>The government initiative in the implementation of smart city concept is an effort in the management of a city. In the governance of a town, public service is one of the most important aspects. Improving public services requires public role because the society is the direct users of public services. One role of the community in improving public service is to provide information or complaint to the government. However, the media where the public reports such information has yet been optimum. Therefore, the researcher assumed that the public needs certain media as well as some support system where they can make complaints related to public service. The support system is in the form of e-complaint system installed on smartphones equipped with geotagging techniques to determine exactly where the complaint is made (location) and geofencing method to determine which territory the complaint belongs to. In this study, the researcher explained the process of designing module for geotagging and geofencing-based e-complaint system. Several experiments were conducted to find out the accuracy of these techniques. With 94% accuracy, geofencing was a suitable technique to apply. In addition, geotagging techniques using EXIF of a digital image was considered the most suitable technique for the e-complaint system rather than other geotagging techniques.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/6557/4388</text>
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                <text>Copyright (c) 2017 Puspa Miladin Nuraida Safitri A Basid, Herman Tolle, Fatwa Ramdani</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 11 No. 3 (2017); pp. 113-129</text>
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                <text>1865-7923</text>
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                <text>geofencing</text>
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                <text>Designing Module E-Complaint System Based on Geotagging and Geofencing</text>
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                <text>El-Seoud, Samir Abou</text>
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                <text>Salama, Mostafa</text>
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                <text>In this work, we present a framework to integrate the functionalities of the Enterprise Resource Planning (ERP) with the University academic and management functionalities at the British University in Egypt , in order to produce a University Resource Planning (URP) that facilitates the integration between educational and management processes within higher educational institutions.Our ERP systems should be enabled to:Automate admissions. Eliminate manual processes and save significant staff time by enabling prospective students to apply online through a self-service portal. Provide one-stop student access. Allow students to enroll, register, and pay for courses through the portal.Simplify records management. With a single system for all your data needs—and a single digital record for each student—any department on campus can find the student information they need.Engage faculty. Give faculty the means to enter and update grades, and have personalized access to timely, accurate, and institution-wide information.Manage resources. Manage personnel, funds and processes more transparently.Strengthen decision-making. Track the metrics you need to guide day-to-day operations, meet reporting requirements, and engage your organization.Keywords:  Integrated management systems for higher education, eLearning, MOODLE, cloud technology, systems integrity</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/6560</text>
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                <text>International Association of Online Engineering (IAOE), Vienna, Austria</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/6560/4359</text>
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                <text>Copyright (c) 2017 Samir Abou El-Seoud, Eslam Ahmed AboGamie, Mostafa Salama</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 11 No. 2 (2017); pp. 24-33</text>
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                <text>1865-7923</text>
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                <text>Integrated Education Management System via Cloud Computing</text>
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              <elementText elementTextId="24558">
                <text>El-Seoud, Samir Abou</text>
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                <text>El-Sofany, Hosam F.</text>
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                <text>Abdelfattah, Mohamed Ashraf Fouad</text>
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                <text>Mohamed, Reham</text>
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                <text>Big data is currently one of the most critical emerging technologies. Big Data are used as a concept that refers to the inability of traditional data architectures to efficiently handle the new data sets. The 4V’s of big data – volume, velocity, variety and veracity makes the data management and analytics challenging for the traditional data warehouses. It is important to think of big data and analytics together. Big data is the term used to describe the recent explosion of different types of data from disparate sources. Analytics is about examining data to derive interesting and relevant trends and patterns, which can be used to inform decisions, optimize processes, and even drive new business models. Cloud computing seems to be a perfect vehicle for hosting big data workloads. However, working on big data in the cloud brings its own challenge of reconciling two contradictory design principles. Cloud computing is based on the concepts of consolidation and resource pooling, but big data systems (such as Hadoop) are built on the shared nothing principle, where each node is independent and selfsufficient. The integrating big data with cloud computing technologies, businesses and education institutes can have a better direction to the future. The capability to store large amounts of data in different forms and process it all at very large speeds will result in data that can guide businesses and education institutes in developing fast. Nevertheless, there is a large concern regarding privacy and security issues when moving to the cloud which is the main causes as to why businesses and educational institutes will not move to the cloud. This paper introduces the characteristics, trends and challenges of big data. In addition to that, it investigates the benefits and the risks that may rise out of the integration between big data and cloud computing.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/6561</text>
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                <text>International Association of Online Engineering (IAOE), Vienna, Austria</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/6561/4356</text>
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                <text>Copyright (c) 2017 Samir Abou El-Seoud, Hosam F. El-Sofany, Mohamed Ashraf Fouad Abdelfattah, Reham Mohamed</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 11 No. 2 (2017); pp. 34-52</text>
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                <text>1865-7923</text>
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                <text>Big data</text>
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                <text>Cloud computing</text>
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                <text>Analytics</text>
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                <text>Big Data and Cloud Computing: Trends and Challenges</text>
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                <text>AbdelFattah, Mohamed</text>
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                <text>Galal, Dahab</text>
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                <text>Hassan, Nada</text>
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                <text>Elzanfaly, Doaa</text>
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                <text>Tallent, Greg</text>
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                <text>Sentiment Analysis (SA) or Opinion Mining is the process of analysing natural language texts to detect an emotion or a pattern of emotions towards a certain product to make a decision about that product. SA is a topic of text mining, Natural Language Processing (NLP) and web mining disciplines. Research in SA is currently at its peak given the amount of data generated from social media networks. The concept is that consumers are expressing exactly what they need, want and expect from a product but on the other hand the companies don’t have the tools to analyse and understand these feelings to satisfy these consumers accordingly. One of the applications that generate a high rate of reactions and sentiments in social networks is Instagram. This study focuses on analysing the reactions generated by the top 50 fashion houses on Instagram given their top 20 images with the highest number of likes. The approach taken in this study is to qualify the visual aesthetics of fashion images and to establish why some succeed on social media more than others. The basic question asked in this paper is whether there are certain visual aesthetics that appeal more to the user and are therefore more successful on social media than others as determined by a measure we introduce, ‘Social Value’. To do so, a sentiment analysis tool is developed to measure the proposed social value of each image. An input of comments from each image will be processed. Each comment will go through a pre-processing phase; each word will be placed through a lexicon to identify if it is positive or negative. The output of the lexicon is a score value assigned to each comment to identify its degree of positivity, negativity, or it has no effect on the social value. Adding to these results, the number of likes and shares would also be taken into consideration quantifying the image’s value. A cumulative result is then produced to determine the social value of an image.</text>
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                <text>International Association of Online Engineering (IAOE), Vienna, Austria</text>
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            <description>Information about rights held in and over the resource</description>
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              <elementText elementTextId="24593">
                <text>Copyright (c) 2017 Mohamed AbdelFattah, Dahab Galal, Nada Hassan, Doaa Elzanfaly, Greg Tallent</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 11 No. 2 (2017); pp. 66-73</text>
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              <elementText elementTextId="24595">
                <text>1865-7923</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>Sentiment Analysis</text>
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                <text>Instagram</text>
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                <text>Social Value</text>
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                <text>Aesthetics</text>
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                <text>A Sentiment Analysis Tool for Determining the Promotional Success of Fashion Images on Instagram</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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                <text>El-Seoud, Samir Abou</text>
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                <text>Mohamed, Reham Fouad</text>
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                <text>Ghoneimy, Samy</text>
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                <text>Much of our scientific, technological, and economic future depends on the availability of an ever-increasing supply of computational power. However, the increasing demand for such power has pushed electronic technology to the limit of physical feasibility and has raised the concern that this technology may not be able to sustain our growth in the near future. It became important to consider an alternative means of achieving computational power. In this regard, DNA computing was introduced based on the usage of DNA and molecular biology hardware instead of the typical silicon based technology. The molecular computers could take advantage of DNA's physical properties to store information and perform calculations. These include extremely dense information storage, enormous parallelism and extraordinary energy efficiency. One of the main advantages that DNA computations would add to computation is its self - parallel processing while most of the electronic computers now use linear processing. In this paper, the DNA computation is reviewed and its state of the art challenges and applications are presented. Some of these applications are those require fast processing, at which DNA computers would be able to solve the hardest problems faster than the traditional ones. For example, 10 trillion DNA molecules can fit in one cubic centimeter that would result in a computer that holds 10 terabytes of data. Moreover, this work focuses on whether a large scale molecular computer can be built.</text>
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                <text>International Association of Online Engineering (IAOE), Vienna, Austria</text>
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            <description>Information about rights held in and over the resource</description>
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              <elementText elementTextId="24616">
                <text>Copyright (c) 2017 Samir Abou El-Seoud, Reham Fouad Mohamed, Samy Ghoneimy</text>
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              <elementText elementTextId="24617">
                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 11 No. 2 (2017); pp. 74-87</text>
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                <text>1865-7923</text>
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            <description>The topic of the resource</description>
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              <elementText elementTextId="24619">
                <text>DNA Computing</text>
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                <text>Quantum Computation</text>
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                <text>Biocomputer</text>
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                <text>Molecular Computation.</text>
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                <text>DNA Computing: Challenges and Application</text>
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              <description>A name given to the resource</description>
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                <elementText elementTextId="15984">
                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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              <elementText elementTextId="24627">
                <text>Marwan, Samiha Abdelrahman Mohammed</text>
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                <text>Shawish, Ahmed</text>
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                <text>Nagaty, Khaled</text>
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                <text>There are continuous threats to network technologies due to its rapidly-changing nature, which raises the demand for data-safe transmission. As a result, the need to come up with new techniques for securing data and accommodating the growing quantities of information is crucial. From nature to science, the idea that genes themselves are made of information stimulated the research in molecular deoxyribonucleic acid (DNA). DNA is capable of storing huge amounts of data, which leads to its promising effect in steganography. DNA steganography is the art of using DNA as an information carrier which achieves high data storage capacity as well as high security level. Currently, DNA steganography techniques utilize the properties of only one DNA strand, since the other strand is completely dependent on the first one. This paper presents a DNA-based steganography technique that hides data into both DNA strands with respect to the dependency between the two strands. In the proposed technique, a key of the same length of the reference DNA sequence is generated after using the second DNA strand. The sender sends both the encrypted DNA message and its reference DNA sequence together into a microdot. If the recipient receives this microdot uncontaminated, the sender can safely send the generated key afterwards. The proposed technique doubles the amount of data stored and guarantees a secure transmission process as well, for even if the attacker suspects the first-sent DNA sequence, they will never receive the key, and hence full data extraction is nearly impossible. The conducted experimental study confirms the effectiveness of the proposed.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/6565</text>
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                <text>International Association of Online Engineering (IAOE), Vienna, Austria</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/6565/4360</text>
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              <elementText elementTextId="24638">
                <text>Copyright (c) 2017 Samiha Abdelrahman Mohammed Marwan, Ahmed Shawish, Khaled Nagaty</text>
              </elementText>
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              <elementText elementTextId="24639">
                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 11 No. 2 (2017); pp. 88-98</text>
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                <text>1865-7923</text>
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                <text>DNA Steganography</text>
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                <text>Hiding Capacity</text>
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                <text>Data Hiding</text>
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                <text>Utilizing DNA Strands for Secured Data-Hiding  with High Capacity</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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              <elementText elementTextId="24649">
                <text>Mwinyi, Masoud U.</text>
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                <text>Alja'am, Jihad M.</text>
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                <text>Abou El-Seoud, Samir</text>
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                <text>Children with special needs face major difficulties to understand the script of stories. They cannot comprehend the words’ meaning properly. Instructors use different techniques to explain them. They read the script several times, use glossy images, symbols, and short clips. The instructors spend a lot of time searching for these elements. The preparation of every tutorial requires several hours of hard work. The objective of this work is to build a system to assist the instructor finding multimedia elements in real time that can be used during the learning sessions. The proposed system is based on a domain-oriented architecture focusing on animals and food. We use different techniques for text processing including concept analysis, key words extraction and sentence ranking. We can then determine the most significant words and sentences and generate the corresponding multimedia elements. Instructors and children can use smart devices in learning inside and outside the classroom.</text>
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                <text>International Association of Online Engineering (IAOE), Vienna, Austria</text>
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              <elementText elementTextId="24660">
                <text>Copyright (c) 2017 Masoud U. Mwinyi, Jihad M. Alja'am, Samir Abou El-Seoud</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 11 No. 2 (2017); pp. 53-65</text>
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                <text>1865-7923</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 11 No. 2 (2017); pp. 99-112</text>
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                <text>1865-7923</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 11 No. 2 (2017); pp. 139-145</text>
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                <text>1865-7923</text>
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                <text>Ahmed, Eman</text>
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                <text>Sorrour, Amin A.</text>
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                <text>Malwares are increasing rapidly. The nature of distribution and effects of malwares attacking several applications requires a real-time response. Therefore, a high performance detection platform is required. In this paper, Hadoop is utilized to perform static binary search and detection for malwares and viruses in portable executable files deployed mainly on the cloud. The paper presents an approach used to map the portable executable files to Hadoop compatible files. The Boyer–Moore-Horspool Search algorithm is modified to benefit from the distribution of Hadoop. The performance of the proposed model is evaluated using a standard virus database and the system is found to outperform similar platforms.</text>
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                <text>Copyright (c) 2017 Eman Ahmed, Amin A. Sorrour, Mohamed A. Sobh, Ayman M. Bahaa-Eldin</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 11 No. 2 (2017); pp. 113-127</text>
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                <text>1865-7923</text>
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                <text>Cloud computing</text>
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                <text>Malware</text>
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                <text>A Cloud-based Malware Detection Framework</text>
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