SCOPUS

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Sponge-Based Parallel Authenticated Encryption With Variable Tag Length and Side-Channel Protection
(Institute of Electrical and Electronics Engineers Inc., 2023)
Jimale M.A.
;
Abdullah N.A.
;
Kiah M.L.B.M.
;
Idris M.Y.I.
;
Z'Aba M.R.
;
Jamil N.
;
Rohmad M.S.
;
57440872300
;
26659416000
;
24833455600
;
7005361464
;
24726154700
;
36682671900
;
24463710800
Authenticated Encryption (AE) protects confidentiality and integrity at the same time. The sponge construction is based on an iterated permutation or transformation that can be used to implement hashing, and AE schemes, among others. Sponge-based AE schemes offer desirable characteristics like parallelizability and incrementality. In addition, they provide security features such as protection against Chosen Plaintext Attacks, Chosen-Ciphertext Attacks, and Side-Channel Attacks (SCAs). Traditionally AE schemes assume the tag length, also called the stretch, as a fixed parameter per key, and the security is proved according to that assumption. However, the variable tag length per key could happen due to misconfiguration or misuse. In that case, the security would be violated, so it is vital to accommodate variable tag length without sacrificing other desirable features. Reyhanitabar et al. proposed Key Equivalent Separation by Stretch feature and concretized it for protection against tag length misuse attacks in block cipher-based AE schemes. However, the problem remains unresolved for sponge-based constructions, where current sponge-based schemes are vulnerable to tag length variation under the same key attacks. This work aims to bridge this gap by proposing a parallel, sponge-based AE scheme with a variable tag length per key that protects against SCAs and suggesting a lower bound for the recommended tag length. Finally, the security of the proposed scheme is discussed, and its performance is analyzed after implementing the proposed AE scheme in the C programming language. � 2013 IEEE.
16
An agent architecture for autonomous UAV flight control in object classification and recognition missions
(Springer Science and Business Media Deutschland GmbH, 2023)
Mostafa S.A.
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Mustapha A.
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Gunasekaran S.S.
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Ahmad M.S.
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Mohammed M.A.
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Parwekar P.
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Kadry S.
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37036085800
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57200530694
;
55652730500
;
56036880900
;
57192089894
;
54420919600
;
55906598300
One of the major challenges in designing an autonomous agent system is to achieve the objective of recreating human-like cognition by exploiting the growing pragmatic architectures that act intelligently and intuitively in vital fields. Consequently, this research addresses the general problem of designing an agent-based autonomous flight control (AFC) architecture of a UAV to facilitate autonomous routing/navigation in uncharted and unascertained environments of organized foyer surroundings. The specific problem of this research is the indoor environment because of the perplexing characteristics of the required flight mechanics. We design the AFC agent architecture to consist of data acquisition, perception, localization, mapping, control, and planning modules. The AFC agent performs search and survey missions that entail commanding the UAV while performing object classifications and recognition tasks. The agent implements several image handling algorithms to detect and identify objects from their colors and shapes. It captures the video images acquired from a solitary onboard, front-facing camera which are handled off-board on a computer. We conduct tests on the AFC agent, and the results show that the agent successfully controls the UAV in three performed test cases and a total of nine implemented missions. The AFC agent detects and identifies all the assigned objects with a recall score of 1.00, a precision score of 0.9563, an accuracy score of 0.9573, an F1 score of 0.9776, an efficiency score of 0.5239, a detection total time score of 225.5�s, and an identification total time of 275�s and outperforms a human operator. � 2021, The Author(s), under exclusive licence to Springer-Verlag GmbH, DE part of Springer Nature.
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ASSESSING THE PREFABRICATED BUILDING FACTORY'S QUALITY BY POINTING OUT ITS STRENGTHS AND WEAKNESSES IN TERMS OF VISION, PLAN, AND EVALUATION
(AOS-Estratagia and Inovacao, 2023)
Arslan M.A.O.
;
Thiruchelvam S.
;
Hayder G.
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58209339100
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55812442400
;
56239664100
Purpose: This study aims at the strengths and weaknesses in the application of the ISO 9001: 2015 quality management system and its impact on the competitive performance of the company, and to find out the reasons why the company did not obtain the ISO 9001: 2015 international specifications certificate, which it strives to obtain, which has a relationship with the competitive performance of the company (prefabricated building factory/Iraqi Ministry of Construction and Housing). Theoretical framework: The lack of literature on the study at the Iraqi Ministry of Construction and Housing and Prefabricated Building Factory aimed to identify the strengths and weaknesses to determine the effects of applying the international standard. A related study on Asian port performance was analyzed and listed in the study based on a thematic approach. Design/methodology/approach: The researchers in the company (prefabricated building factory) relied on interviews with top management, engineers in production lines, and technicians (Annex 1) by presenting questions to them (Annex 2) using the interview tool. Findings: The most significant findings identified by researchers can be presented after discussing the requirements of the standard (ISO 9001:2015), vision, plan, and evaluation, and they attempt to make proposals to address cases of non-conformity diagnosed under the checklists and propose a set of recommendations related to the subject of the study. Research, Practical & Social Implications: Research and Practical and Social Implications: This research provides the contributor with user inputs to find out the root causes of the aforementioned problem and aims to apply the remaining clauses of the International Standard Certification (ISO 9001:2015). Originality/Value: To obtain the organization's international standards certificate (ISO 9001: 2015) in terms of its vision, plan, and evaluation item and to impose its application on other items of international standards, this study helps to identify the organization's strengths and weaknesses so that weaknesses can be avoided and strengths can be strengthened. � 2023 AOS-Estratagia and Inovacao. All rights reserved.
12
Real-Time State of Charge Estimation of Lithium-Ion Batteries Using Optimized Random Forest Regression Algorithm
(Institute of Electrical and Electronics Engineers Inc., 2023)
Hossain Lipu M.S.
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Hannan M.A.
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Hussain A.
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Ansari S.
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Rahman S.A.
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Saad M.H.M.
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Muttaqi K.M.
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58562396100
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7103014445
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57208481391
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57218906707
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36609854400
;
7202075525
;
55582332500
This paper presents an improved machine learning approach for the accurate and robust state of charge (SOC) in electric vehicle (EV) batteries using differential search optimized random forest regression (RFR) algorithm. The precise SOC estimation confirms the safety and reliability of EV. Nevertheless, SOC is influenced by numerous factors which cannot be measured directly. RFR is suitable for real-time SOC estimation due to its robustness to noise, overfitting issues and capacity to work with huge datasets. However, proper selection of RFR architecture and hyper-parameters combination remains a key issue to be explored. Hence, a differential search algorithm (DSA) is employed to search for the optimal values of trees and leaves in the RFR algorithm. DSA optimized RFR eliminates the utilization of the filter in data pre-processing steps and does not require a detailed understanding and knowledge about battery chemistry, rather only needs sensors to monitor battery voltage and current. The developed approach is validated at room temperature using two types of lithium-ion batteries under a pulse discharge test. In addition, the proposed model is verified under varying temperature settings under EV drive cycles. The experimental results demonstrate that the DSA optimized RFR algorithm achieves RMSE of 0.382% in the HPPC test using LiNMC battery. Besides, the proposed method obtains satisfactory outcomes in EV drive cycles, estimating MAE of 0.193% and 0.346% in DST and FUDS cycles, respectively, at 25�C. � 2016 IEEE.
11
Exploring Women�s Retirement Literature through Bibliometric Analysis Using VOSviewer
(Faculty of Economics and Administration, 2023)
Mohamad N.E.A.
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Zainuddin H.A.
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Rajadurai J.
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Sapuan N.M.
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58042330500
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58042186900
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13907110500
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49964398700
This paper aims to analyse the issue of women�s retirement (WR) literature through bibliometric analysis using VOSviewer, a programme for the visualisation of similarities (VOS). Publications focusing on women�s retirement were compiled from the Scopus database, with a total of 393 items spanning the years 1965 to 2021. The most prolific nations for retirement literature are the United States, United Kingdom, and Sweden, which reflects the affiliation analysis that correlates highly with published papers within specific institutions in those three countries. The issues were discussed within the context of social sciences, economics, econometrics, and finance, as well as psychology. This suggests an interlinking of women�s retirement with social and financial issues that might contribute towards psychological challenges for women. The most cited keywords, among others, are �retirement�, �women� and �pension�, with thematic clusters being linked to �ageing� and �health�. These could be linked to health problems that emerge because of ageing, and thus might be linked to the retirement wellbeing of women. The findings of this paper shed light on several implications that can be used as a guideline for researchers and act as a foundation before embarking on the emerging knowledge areas of women�s retirement. � 2023, Faculty of Economics and Administration. All rights reserved.
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