Papers by Samer Al-khazraji

Impact of Deepfake Technology on Social Media: Detection, Misinformation and Societal Implications
The Eurasia Proceedings of Science Technology Engineering and Mathematics
Deepfake technology, which allows the manipulation and fabrication of audio, video, and images, h... more Deepfake technology, which allows the manipulation and fabrication of audio, video, and images, has gained significant attention due to its potential to deceive and manipulate. As deepfakes proliferate on social media platforms, understanding their impact becomes crucial. This research investigates the detection, misinformation, and societal implications of deepfake technology on social media. Through a comprehensive literature review, the study examines the development and capabilities of deepfakes, existing detection techniques, and challenges in identifying them. The role of deepfakes in spreading misinformation and disinformation is explored, highlighting their potential consequences on public trust and social cohesion. The societal implications and ethical considerations surrounding deepfakes are examined, along with legal and policy responses. Mitigation strategies, including technological advancements and platform policies, are discussed. By shedding light on these critical a...

2017 International Conference on Engineering and Technology (ICET)
Despite the fact that dynamic XML labelling schemes have been investigated widely, some challenge... more Despite the fact that dynamic XML labelling schemes have been investigated widely, some challenges still need to be tackled. Dynamic XML documents are subject to change. An efficient dynamic labelling scheme is able to maintain the node relationships throughout continuous changes to the XML tree structure. Such a scheme generates labels for new nodes to avoid the need to relabel the whole tree. The main problem for dynamic XML is overflow that occurs when the label length of the new node is over the reserved space limit. There has not been sufficient analysis to determine the class of labelling scheme which faces this problem in the early stages of update. To this end a series of experiments were performed when updating the Nasa XML database, which contains real data. Five sets of new nodes (50, 100, 400, 800, 1200) were inserted into this dataset using two versions of XML node indexing system: a Prefix and an Interval labelling scheme. It was found that Interval falls victim to the problem of overflow after the insertion of only 100 nodes whereas Prefix has no problem even when adding 1200 nodes.
The flexibility nature of XML documents has motivated researchers to use it for data transmission... more The flexibility nature of XML documents has motivated researchers to use it for data transmission and storage in different domains. The hierarchical structure of XML documents is an attractive point to be researched for processing a user query based on labelling where each label describes the node structure in the tree. In this study, three categories of XML node labelling will be analysed to address the open problem of each category. A number of experiments are executed to compare performance of time execution and storage space required for labelling XML tree.

2017 International Conference on Engineering and Technology (ICET), 2017
Improving XML database management system has attracted researchers to consider whether the indexi... more Improving XML database management system has attracted researchers to consider whether the indexing system is equivalent to a relational database management system. The indexing system is based on labelling the nodes of the XML tree. Different types of labelling scheme have been proposed to label the document quickly and without consuming too much storage space. However, most the studies focused on evaluating the performance of new labelling schemes. The appropriateness of various existing schemes to the particular structure an XML document has not been addressed sufficiently. To investigate this aspect two common XML labelling schemes were employed: Prefix (Dewey Encoding) and Interval (Containment) to label three different examples of XML documents with very different structures. The time and storage space requirements were investigated to compare the relevance of each scheme to the structures of the documents. A number of experiments were conducted and it was found that Dewey Encoding and Containment techniques are relatively fast when labelling shallow tree structures. Dewey required little storage space to save labels of wide tree structures, however, Containment used less storage space when storing the labels of short trees.
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Papers by Samer Al-khazraji