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  • Economics  (499)
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  • 1
    Online Resource
    Online Resource
    Hindawi Limited ; 2022
    In:  Mobile Information Systems Vol. 2022 ( 2022-5-14), p. 1-9
    In: Mobile Information Systems, Hindawi Limited, Vol. 2022 ( 2022-5-14), p. 1-9
    Abstract: Many businesses throughout the globe have recently realized the value of Supervisory Control and Data Acquisition (SCADA) systems. Many critical infrastructures, such as electricity grids, asphalt plants, and wastewater disposals, are controlled by these systems. With the introduction of Fourth Industrial Revolution, 4IR or Industry 4.0, today’s SCADA systems cannot be separated from the outside world, making them more susceptible to hostile assaults. Conventional security systems including different antivirus software and firewalls are unable to safeguard SCADA systems as they are of distinct requirements. For this, different machine learning algorithms, i.e., SVM, KNN, and random forest, are tested to cover the anomaly detection along with security protection for SCADA systems. The dataset used in this research study was made locally in an asphalt plant by using different sensor data grouped in two classes: one is natural signal values, and the other one is attack class in which different sensor values are found out of range while in operation. Amongst the above-mentioned algorithms, KNN outperformed with an accuracy rate of 89% for anomaly detection and any kind of external attack can be detected and notified to the control room for on-time actions.
    Type of Medium: Online Resource
    ISSN: 1875-905X , 1574-017X
    RVK:
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2022
    detail.hit.zdb_id: 2187808-0
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  • 2
    In: Mobile Information Systems, Hindawi Limited, Vol. 2022 ( 2022-10-3), p. 1-16
    Abstract: With the introduction of 4G/5G Internet and the increase in the number of users, the malicious cyberattacks on computing devices have been increased making them vulnerable to external threats. High availability windows servers are designed to ensure delivery of consistent services such as business activities and e-services to their customers without any interruption. At the same time, a cyberattack on any of the clustered computer can put servers and customer devices in danger. A memory dump mechanism can capture the contents of memory in the event of a system or device crash such as corrupted files, damaged hardware, or irregular CPU power consumption. In this paper, we present a smart memory forensics scheme to recognize malicious attacks over high availability servers by capturing the memory dump of suspicious processes in the form of RGB visual images. Second, the local and global properties of malware images are captured using local binary patterns (LBP) and gray-level co-occurrence matrices (GLCM). A state-of-the-art t-distributed stochastic neighbor embedding scheme (t-SNE) is applied to reduce data dimensionality and improve the detection time of unknown malwares and their variants. An optimized CNN model is designed to predict malicious files harming servers or user devices. Throughout this study, we employed public data set of 4294 malicious samples covering malware variants and benign executables. A baseline is prepared to compare the performance of proposed model with state-of-the-art malware detection methods. The combined LBP + GLCM feature extraction along with t-SNE dimensionality reduction scheme further improved the detection accuracy by 98%, whereas the detection time is also increased by 73x. The overall performance shows that memory forensics is more effective for malware detection in terms accuracy and response time.
    Type of Medium: Online Resource
    ISSN: 1875-905X , 1574-017X
    RVK:
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2022
    detail.hit.zdb_id: 2187808-0
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  • 3
    In: Mobile Information Systems, Hindawi Limited, Vol. 2019 ( 2019-06-24), p. 1-18
    Abstract: Consumer adoption of mobile-based tourism shopping is an emerging but overlooked area in tourism research. Given the paybacks and potential scope of this new channel, this study attempts to bridge the gap by proposing a multimediation model investigating mobile tourism shopping (MTS) in a developing country, Pakistan. In particular, we applied structural equation modeling through partial-least-squares structural equation modeling (PLS-SEM) on 396 responses collected from mobile respondents who recently purchased tourism products using a mobile device(s). It was discovered that social presence, directly and indirectly, influences tourist intentions towards MTS. The results further show that the tourists’ perception of compatibility and relative advantages of MTS have insignificant influence on their intention to accept a mobile device(s) for tourism shopping. The findings and implications of the study furnish new vistas to research discourse and managerial significance. Economically, this research contributes to knowledge that could increase income and create jobs in the host country.
    Type of Medium: Online Resource
    ISSN: 1574-017X , 1875-905X
    RVK:
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2019
    detail.hit.zdb_id: 2187808-0
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  • 4
    Online Resource
    Online Resource
    Emerald ; 2022
    In:  Managerial Finance Vol. 48, No. 7 ( 2022-06-07), p. 1029-1046
    In: Managerial Finance, Emerald, Vol. 48, No. 7 ( 2022-06-07), p. 1029-1046
    Abstract: This study aims to extend Bowman's risk–return paradox to Asian emerging markets and explain its causes under the prospect theory. Design/methodology/approach The study is conducted on a cross-sectional sample of 4,609 firms across nine Asian emerging countries. The two stage least squares (2SLS) estimation technique is used to evaluate the three objectives of the study, i.e. Bowman's risk–return paradox, significance of firm-specific risk and prospect theory explanation of Bowman's paradox. Findings The authors challenge the two basic financial economics arguments that higher risk is rewarded with higher return, and firm-specific risk is diversifiable. The empirical findings confirm the negative impact of firm-specific and systematic risk on firm return, thus, corroborates the Bowman's explanation of risk–return trade-off. However, the authors did not find empirical evidence to support prospect theory's explanations of Bowman’s paradox in Asian emerging markets. Originality/value A holistic approach is adopted to analyze the various aspects of Bowman's paradox and its causes for the same time period, variables and sample. The authors also rectified several methodological limitations observed in previous studies, i.e. the use of same proxies for firm return and risk, endogeneity and survivorship issues. Furthermore, the findings of this study will enable managers to formulate critical viewpoint on firm-specific risk and systematic risk and take informed strategic decisions regarding optimum utilization of their firm's key resources in Asian emerging markets.
    Type of Medium: Online Resource
    ISSN: 0307-4358
    RVK:
    Language: English
    Publisher: Emerald
    Publication Date: 2022
    detail.hit.zdb_id: 2047612-7
    SSG: 3,2
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  • 5
    Online Resource
    Online Resource
    Hindawi Limited ; 2022
    In:  Mobile Information Systems Vol. 2022 ( 2022-6-13), p. 1-14
    In: Mobile Information Systems, Hindawi Limited, Vol. 2022 ( 2022-6-13), p. 1-14
    Abstract: Blind people face multiple challenges in performing their daily activities, such as localization, navigation, and communication with other people following the social status of the ambient environment. The outdoor navigation and localization are mitigated through assistive technologies, such as white cane, smartphones, and Global Positioning System (GPS). However, little attention has been paid to assisting a blind person in judging the room environment, occupants in a room, communicating with an intended person, social status, and so on. This study attempts to provide cognitive assistance to blind people in predicting room types and finding the intended person to communicate their message by understanding their ambient environment and social status in terms of their age, gender, and the number of people inside a room. The proposed solution uses the microphone and speaker to recognize room types and a camera for understanding the ambient environment and social status. The information is conveyed to the blind person through haptic feedback. We analyzed different evaluation metrics, including the movement of people, ambient sounds, orientation, and position. We conducted an extensive user study to validate the proposed solution in real-world scenarios and achieved 87.64% accuracy in room type recognition in 11 rooms, 64.57% gender recognition, 61.73% age group, and 61.71% correctly identified the number of people.
    Type of Medium: Online Resource
    ISSN: 1875-905X , 1574-017X
    RVK:
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2022
    detail.hit.zdb_id: 2187808-0
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  • 6
    Online Resource
    Online Resource
    Elsevier BV ; 2020
    In:  Research in International Business and Finance Vol. 52 ( 2020-04), p. 101129-
    In: Research in International Business and Finance, Elsevier BV, Vol. 52 ( 2020-04), p. 101129-
    Type of Medium: Online Resource
    ISSN: 0275-5319
    RVK:
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2020
    detail.hit.zdb_id: 2165501-7
    detail.hit.zdb_id: 424514-3
    SSG: 3,2
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  • 7
    Online Resource
    Online Resource
    Emerald ; 2008
    In:  Managerial Finance Vol. 34, No. 9 ( 2008-08-01), p. 660-674
    In: Managerial Finance, Emerald, Vol. 34, No. 9 ( 2008-08-01), p. 660-674
    Abstract: The main objective of this paper is to highlight the main features of interest‐free banking theory and practice in Pakistan over the last three decades. It explores the country‐wide interest‐free banking movement since its inception in 1980 to its demise in 2002, and the reasons for such outcome. Moreover, it addresses the question why interest‐free banking has been recently reinstated by the government of Pakistan under the dual banking system and more importantly, would it be any real and big success? Design/methodology/approach The paper explores concepts, model, strategies and practical issues related with the Islamic banking and finance system. It holds a conceptual approach. It is designed as a case study that provides comprehensive analysis over the contributions made by political, government, financial, legislative and religious institutions of Pakistan in setting‐up the interest‐free banking and finance system in the country. Findings The findings of the paper hold that all intellectual, practical, institutional, political, constitutional and regulatory measures undertaken by the government and top policy makers of Pakistan to transform the banking system of the country Shariah compliant were devoid of real urge and effectiveness, only piecemeal solutions. The interest institution got very firm roots in the financial sector of Pakistan and strongly supported by other exploitative agents and systems that prevail in the socio‐economic life of the country. There is a dire need to take revolutionary steps with strong political and public support and commitment to uproot interest along with its allies from Pakistan economy and society. After all, Pakistan is an ideologically‐based Muslim country that holds the constitutional responsibility to eliminate interest from its economy and establish a fair and just socio‐economic order. Research limitations/implications The paper envisages the main concepts, models and strategies adopted in implementing the Islamic economic and finance system in Pakistan. However, it does not deal in quantitative data and statistical tools to support its findings by empirical evidence. Rather it entails subjective analysis and critique work. Originality/value The paper provides the deeper insight of highly technical, complex and mammoth job of eradicating interest from Pakistan economy that was deeply rooted and also strongly supported by other exploitative forces prevailing in the socio‐economic life of the country, causing gross distribution of wealth and concentration of resources and powers in the hands of few. It explains that the need for a major change in one institution or system entails the demand for bringing radical changes in the whole set‐up of country. This paper undertakes longitudinal view to analyze the institutional, financial, judicial and political developments that took place in Pakistan to restructure its economy on Islamic lines. It lays down all relevant facts and issues systematically to provide a clear‐cut assessment over the past, present and future of interest‐free banking movement in Pakistan.
    Type of Medium: Online Resource
    ISSN: 0307-4358
    RVK:
    Language: English
    Publisher: Emerald
    Publication Date: 2008
    detail.hit.zdb_id: 2047612-7
    SSG: 3,2
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  • 8
    Online Resource
    Online Resource
    Hindawi Limited ; 2022
    In:  Mobile Information Systems Vol. 2022 ( 2022-4-28), p. 1-14
    In: Mobile Information Systems, Hindawi Limited, Vol. 2022 ( 2022-4-28), p. 1-14
    Abstract: Forest fires pose a potential threat to the ecological and environmental systems and natural resources, impacting human lives. However, automated surveillance system for early forest fire detection can mitigate such calamities and protect the environment. Therefore, we propose a UAV-based forest fire fighting system with integrated artificial intelligence (AI) capabilities for continuous forest surveillance and fire detection. The major contributions of the proposed research are fourfold. Firstly, we explain the detailed working mechanism along with the key steps involved in executing the UAV-based forest fire fighting system. Besides, a robust forest fire detection system requires precise and efficient classification of forest fire imagery against no-fire. Moreover, we have curated a novel dataset (DeepFire) containing diversified real-world forest imagery with and without fire to assist future research in this domain. The DeepFire dataset consists of 1900 colored images with 950 each for fire and no-fire classes. Next, we investigate the performance of various supervised machine learning classifiers for the binary classification problem of detecting forest fire. Furthermore, we propose a VGG19-based transfer learning solution to achieve improved prediction accuracy. We assess and compare the performance of several machine learning approaches such as k -nearest neighbors, random forest, naive Bayes, support vector machine, logistic regression, and the proposed approach for accurately identifying fire and no-fire images in the DeepFire dataset. The simulation results demonstrate the efficacy of the proposed approach in terms of accurate classification, where it achieves the mean accuracy of 95% with 95.7% precision and 94.2% recall.
    Type of Medium: Online Resource
    ISSN: 1875-905X , 1574-017X
    RVK:
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2022
    detail.hit.zdb_id: 2187808-0
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  • 9
    In: European Management Journal, Elsevier BV, ( 2024-8)
    Type of Medium: Online Resource
    ISSN: 0263-2373
    RVK:
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2024
    detail.hit.zdb_id: 2013159-8
    detail.hit.zdb_id: 859497-1
    SSG: 3,2
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  • 10
    Online Resource
    Online Resource
    Inderscience Publishers ; 2021
    In:  International Journal of Mobile Communications Vol. 19, No. 4 ( 2021), p. 467-
    In: International Journal of Mobile Communications, Inderscience Publishers, Vol. 19, No. 4 ( 2021), p. 467-
    Type of Medium: Online Resource
    ISSN: 1470-949X , 1741-5217
    RVK:
    Language: English
    Publisher: Inderscience Publishers
    Publication Date: 2021
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