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2. Evaluation of Confidentiality and Data Integrity Based on User Session for IoT Environment

Author

Bamhdi, Alwi, Abdulgadir, Omar, Kargar, Akram, Patel, Ahmed, Al Ghamdi, Bandar, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Yang, Xin-She, editor, Sherratt, Simon, editor, Dey, Nilanjan, editor, and Joshi, Amit, editor

Published
2021
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3. A Secure Lightweight Mutual Authentication and Message Exchange Protocol for IoT Environments Based on the Existence of Active Server

Author

Abdulkader, Omar, Bamhdi, Alwi M., Thayananthan, Vijey, Jambi, Kamal, Al Ghamdi, Bandar, Patel, Ahmed, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Yang, Xin-She, editor, Sherratt, Simon, editor, Dey, Nilanjan, editor, and Joshi, Amit, editor

Published
2020
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4. Document Selection in a Distributed Search Engine Architecture

Author

AlShourbaji, Ibrahim, Al-Janabi, Samaher, and Patel, Ahmed

Subjects
Computer Science - Information Retrieval, Computer Science - Databases
Abstract

Distributed Search Engine Architecture (DSEA) hosts numerous independent topic-specific search engines and selects a subset of the databases to search within the architecture. The objective of this approach is to reduce the amount of space needed to perform a search by querying only a subset of the total data available. In order to manipulate data across many databases, it is most efficient to identify a smaller subset of databases that would be most likely to return the data of specific interest that can then be examined in greater detail. The selection index has been most commonly used as a method for choosing the most applicable databases as it captures broad information about each database and its indexed documents. Employing this type of database allows the researcher to find information more quickly, not only with less cost, but it also minimizes the potential for biases. This paper investigates the effectiveness of different databases selected within the framework and scope of the distributed search engine architecture. The purpose of the study is to improve the quality of distributed information retrieval., Comment: 8 pages, 6 figures in Middle-East Journal of Scientific Research, IDOSI Publications, 2015

Published
2016
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5. Optimizing Attribute Reduction in Rough Set Theory using Re-heat Simulated Annealing for Classification and Data Mining.

Author

Bamhdi, Alwi M., Barros, Ana Luiza, Makda, Tahira Jehan, Fernandez, Marcial, Patel, Ahmed, and Golafshan, Laleh

Subjects
ROUGH sets, METAHEURISTIC algorithms, CLASSIFICATION algorithms, SIMULATED annealing, DATA mining
Abstract

Data classification is a crucial aspect of knowledge discovery using machinelearning algorithm for supervised learning approach where the goal is to predict the categorical labels of new instances based on past observations. This research presents an innovative classification technique that utilizes Rough Set Attribute Reduction. The proposed method introduces the Re-heat Simulated Annealing (Re-heat SA) algorithm as a meta-heuristic approach. Rough set theory, a mathematical tool dealing with uncertainty and fuzziness in data, is employed to uncover hidden patterns in big data through feature selection. This paper introduces a novel meta-heuristic classification approach that utilizes rough set attribute reduction to achieve optimal accuracy. Re-heat SA effectively optimizes the problem by controlling the dependency degree to identify the minimal reducts required for classification prediction using the Rosetta software. Experimental results demonstrate that Re-heat SA outperforms comparable classification algorithms in discovering classification rules. The results reveal that three datasets achieved 100% accuracy, four datasets achieved accuracy rates ranging from 60% to 99%, and six datasets achieved accuracy rates ranging from 30% to 59%. Additionally, this paper discusses the need for standardization concerning the machine learning pipeline processes as big data and its handling grows exponentially. [ABSTRACT FROM AUTHOR]

Published
2024
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12. Using Tree Automata and Regular Expressions to Manipulate Hierarchically Structured Data

Author

Schmidt, Nikita and Patel, Ahmed

Subjects
Computer Science - Computation and Language, Computer Science - Data Structures and Algorithms, E.1, F.4.3, I.7.2, H.3.3
Abstract

Information, stored or transmitted in digital form, is often structured. Individual data records are usually represented as hierarchies of their elements. Together, records form larger structures. Information processing applications have to take account of this structuring, which assigns different semantics to different data elements or records. Big variety of structural schemata in use today often requires much flexibility from applications--for example, to process information coming from different sources. To ensure application interoperability, translators are needed that can convert one structure into another. This paper puts forward a formal data model aimed at supporting hierarchical data processing in a simple and flexible way. The model is based on and extends results of two classical theories, studying finite string and tree automata. The concept of finite automata and regular languages is applied to the case of arbitrarily structured tree-like hierarchical data records, represented as "structured strings." These automata are compared with classical string and tree automata; the model is shown to be a superset of the classical models. Regular grammars and expressions over structured strings are introduced. Regular expression matching and substitution has been widely used for efficient unstructured text processing; the model described here brings the power of this proven technique to applications that deal with information trees. A simple generic alternative is offered to replace today's specialised ad-hoc approaches. The model unifies structural and content transformations, providing applications with a single data type. An example scenario of how to build applications based on this theory is discussed. Further research directions are outlined., Comment: Submission to JACM for review. 27 single spaced pages

Published
2002

24. Taxonomy and Proposed Architecture of Intrusion Detection and Prevention Systems for Cloud Computing

Author

Patel, Ahmed, Taghavi, Mona, Bakhtiyari, Kaveh, Júnior, Joaquim Celestino, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Nierstrasz, Oscar, Editorial Board Member, Pandu Rangan, C., Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Sudan, Madhu, Editorial Board Member, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Vardi, Moshe Y., Editorial Board Member, Weikum, Gerhard, Editorial Board Member, Xiang, Yang, editor, Lopez, Javier, editor, Kuo, C.-C. Jay, editor, and Zhou, Wanlei, editor

Published
2012
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27. Developing Secure, Trusted and Auditable Services for e-Business: An Autonomic Computing Approach

Author

Patel, Ahmed, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Katsikas, Sokratis, editor, Lopez, Javier, editor, and Pernul, Günther, editor

Published
2004
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37. Open Architecture for Distributed Search Systems

Author

Bessonov, Mikhail, Heuser, Udo, Nekrestyanov, Igor, Patel, Ahmed, Goos, Gerhard, editor, Hartmanis, Juris, editor, van Leeuwen, Jan, editor, Mullery, Al, Zuidweg, Han, editor, Campolargo, Mario, editor, and Delgado, Jaime, editor

Published
1999
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43. How audio-visual stimuli in automated asynchronous video interviews affect applicant reactions: social presence, fairness and organisational attractiveness

Author

Patel, Ahmed and de Kock, Francois

Subjects
experiment, asynchronous video interview, fairness, applicant reactions, social presence, mediation, modular approach, organisational attractiveness, multisample, selection interview
Abstract

Over the past decade, the use of asynchronous video interviews (AVIs) has increased exponentially, largely spurred by ongoing technological progress and shifts to remote work. Although prior research shows interview design can influence applicant reactions, the effect of video interview design factors on interviewee reactions remains unclear. The present study determines the influence of AVI stimulus format (text-based vs. audio-visual questions) on applicant perceptions of social presence, fairness and organisational attractiveness. To this end, a between-subjects posttest-only experimental design was used in two separate samples (South African sample, N = 58; USA sample, N = 169, Combined samples, N = 227). Participants were randomly assigned to either the control or experimental group. Participants completed a mock interview on a commercially available AVI platform and then answered a questionnaire measuring perceptions of social presence, fairness, and organisational attractiveness. Bootstrapped independent sample t-tests and serial mediation were used to test the hypotheses. Within Sample 1, applicant perceptions of social presence, fairness and organisational attractiveness were higher for the audio-visual and text-based AVIs, thereby supporting the proposition that audio-visual stimuli lead to higher perceptions of social presence, fairness and organisational attractiveness. Conversely, Sample 2's findings were non-significant (p > .05). While there were mixed results, the findings of this study provide preliminary evidence which suggests that within the South African context, audio-visual stimuli can be used in AVIs. Organisations in the American context should pay close attention to the effects of AVI stimulus format on applicant reactions as the findings from the American sample were not conclusive. Future research should investigate applicant reactions to different forms of AVI stimulus during a multi-stage selection process

Published
2022

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