Social Netwoks and Digital Security

Tabassam, Sehrish; Shah, Habib; Alghamdi, Kholoud; Badshah, Akhtar

doi:10.1109/icecce47252.2019.8940808

Cited by 3 publications

References 12 publications

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A comprehensive study on DNA based Security scheme Using Deep Learning in Healthcare

Aqeel¹,

Khan²,

Ahmad³

et al. 2021

EDPACS

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The internet is widening day by day followed by security issues related to it. There are many approaches to achieve a secure cyber environment but still, there always exists room for the optimal choice to attain security goals. Artificial intelligence (AI) has given a new vision to the technology by implementing its remarkable applications for common users by providing ease in human life with its unique inventions. Deep learning (DL) has emerged from machine learning that relates to the branch of AI itself. In DL, the machine adopts the behavior of the human mind through its various hidden layers to generate the output similarly as the human mind should do. Research is on DNA-based security using DL that works similarly to cryptography and ensures secure data transfer among cyber users. This combination is studied by recent researchers and found its successfulness in enhancing the security of data. Moreover, the DNA scheme has empowered security systems by safeguarding against major cyberattacks. Although, it is being used in multiple real-world domains, we concise our research on the health sector where it is used to handle various forms of patient's health data records. The study found that the combination of DNA sequence along with DL techniques enhances data confidentiality to be shared with concerned legitimate users and hence ensuring data confidentiality, integrity, authorization, and authentication and this is what we require in the medical field too. So, DNA security mechanisms undoubtedly strengthen the security of data by implementing DL methods and techniques in the health section.

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A comprehensive study on DNA based Security scheme Using Deep Learning in Healthcare

Aqeel¹,

Khan²,

Ahmad³

et al. 2021

EDPACS

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Evaluation of Usability of E-Commerce Websites in Pakistan Using System Usability Scale and Heuristics Methods

Ashraf

Aqeel

Muhammad

2023

Fraud Prevention, Confidentiality, and Data Security for Modern Businesses

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Online shopping platforms “Draz.pk,” “Homesopping.pk,” and “Telemart.pk,” were the most often used online stores in Pakistan. E-commerce platforms have not achieved their complete objectives, because they are faced with many usability issues. It is recommended that an evaluation of the usability of e-commerce platforms should be explored through different usability scales. This research study evaluates the usability of e-commerce platforms in Pakistan. In this research study, three e-commerce platforms were selected for usability evaluation. For this purpose total of 15 users were selected and performed the System Usability Scale method of assessing the usability. The result of the System Usability Scale method indicated usability of the “Homesopping.pk” and “Telemart.pk” was less than below 70%, which indicated that these websites need to improve the user interface. Five expert evaluators were also selected for Heuristic evaluation to perform on “Homesopping.pk” to find out the usability issues.

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Assessment of Water Quality Using Multi-Layered Mamdani Fuzzy Inference Expert System

Ahmad,

Aqeel,

Zafar

et al. 2024

Advances in Systems Analysis, Software Engineering, and High Performance Computing

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In this chapter, a new multi-layered mamdani fuzzy inference system (ML-MFIS) is proposed for the assessment of water quality (AWQ). The proposed AWQ-ML-MFIS expert system can categorize the level of water quality into excellent, normal, or dangerous for health (polluted). AWQ-ML-MFIS expert system for drinking water is developed by the guidelines from the World Health Organization (WHO) and Pakistan's Punjab environmental quality standard. AWQ-ML-MFIS expert system uses input water parameters such as bacterial, physical, chemical, and radioactive for different layers. The chemical parameters are further divided into essential inorganics, toxic inorganics, and organics. This chapter also analyses the intensities of the parameters and the results achieved by using the proposed AWQ-ML-MFIS expert system. All these parameters and results are discussed with the experts of the Pakistan Council of Scientific and Industrial Research (PCSIR), Lahore. The accuracy of the proposed AWQ-ML-MFIS Expert System is more accurate as compared to others approaches used for it.

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Social Netwoks and Digital Security

Cited by 3 publications

References 12 publications

A comprehensive study on DNA based Security scheme Using Deep Learning in Healthcare

A comprehensive study on DNA based Security scheme Using Deep Learning in Healthcare

Evaluation of Usability of E-Commerce Websites in Pakistan Using System Usability Scale and Heuristics Methods

Assessment of Water Quality Using Multi-Layered Mamdani Fuzzy Inference Expert System

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