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URL Phishing Detection Using Particle Swarm Optimization and Data Mining

Computers, Materials & Continua 2022年第12期73卷 5625-5640页

作者： Saeed M.Alshahrani Nayyar Ahmed Khan jameel almalki Waleed Al Shehri College of Computing and IT-Shaqra University Shaqra155572Saudi Arabia Department of Computer Science College of Computer in Al-LeithUmm Al-Qura UniversityMakkahSaudi Arabia

The continuous destruction and frauds prevailing due to phishing URLs make it an indispensable area for *** techniques are adopted in the detection process,including neural networks,machine learning,or hybrid techniques.A novel detection model is proposed that uses data mining with the Particle Swarm Optimization technique(PSO)to increase and empower the method of detecting phishing *** selection based on various techniques to identify the phishing candidates from the URL is *** this approach,the features mined from the URL are extracted using data mining *** features are selected on the basis of URL *** classification of these features identified by the data mining rules is done using PSO *** selection of features with PSO optimization makes it possible to identify phishing *** a large number of rule identifiers,the true positive rate for the identification of phishing URLs is maximized in this *** experiments show that feature selection using data mining and particle swarm optimization helps tremendously identify the phishing URLs based on the structure of the URL ***,it can minimize processing time for identifying the phishing website ***,the approach can be beneficial to identify suchURLs over the existing contemporary detecting models proposed before.

关键词： Phishing particle swarm optimization feature selection data mining classification cloud application

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Systematic Survey on Big Data Analytics and Artificial Intelligence for COVID-19 Containment

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Computer Systems Science & Engineering 2023年第11期47卷 1793-1817页

作者： Saeed M.Alshahrani jameel almalki Waleed Alshehri Rashid Mehmood Marwan Albahar Najlaa Jannah Nayyar Ahmed Khan Department of Computer Science College Computing and Information TechnologyShaqra UniversityShaqraSaudi Arabia Department of Computer Science College of Computer in Al-LithUmm Al-Qura UniversityMakkahSaudi Arabia High-Performance Computing Center King Abdulaziz UniversityJeddahSaudi Arabia

Artificial Intelligence(AI)has gained popularity for the containment of COVID-19 pandemic *** AI techniques provide efficient mechanisms for handling pandemic *** methods,protocols,data sets,and various validation mechanisms empower the users towards proper decision-making and procedures to handle the *** so many tools,there still exist conditions in which AI must go a long *** increase the adaptability and potential of these techniques,a combination of AI and Bigdata is currently gaining *** paper surveys and analyzes the methods within the various computational paradigms used by different researchers and national governments,such as China and South Korea,to fight against this *** process of vaccine development requires multiple medical *** process requires analyzing datasets from different parts of the *** learning and the Internet of Things(IoT)revolutionized the field of disease diagnosis and disease *** accurate observations from different datasets across the world empowered the process of drug development and drug *** overcome the issues generated by the pandemic,using such sophisticated computing paradigms such as AI,Machine Learning(ML),deep learning,Robotics and Bigdata is essential.

关键词： COVID-19 IoT artificial intelligence big data coronavirus deep learning robotics machine learning

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Caring psychiatric patients and its impact on nurses’behavior:a cross-sectional quantitative method study in Saudi Arabia

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Nursing Communications 2023年第14期7卷 1-7页

作者： Faten Mohammed Islam Khotany Najla Eid Alharbi Ghadeer Hassan Mahdi Moodhi Neda Basher Alazimi Hajer Marei Mahammed Rabaiy Aisha Ayesh Alotaibi Nawar Aqeel Alrashidi Marwah Suliman Aljohani Fatimah Ahmed Alhazemi Ghazaile jameel Khayat Samirah Ali Kaddaf Laila Hussien Hakami Saeed Atiah almalki Abdulaziz Mohammad Islam Khotani Feryal Mohammad Islam Kotany Mofreh Alsahil Alruwaili Makkah Health Cluster Makkah regionAl Hamra street 7853Saudi Arabia Deputy of Nursing supervisor Aljamoum Health SectorMakkahSaudi Arabia Sabya General Hospital South regionJazanSaudi Arabia Community Health Nursing Primary Health CareAlqaseemUnizahSaudi Arabia Department of Nursing Jeddah King Abdullah Medical ComplexWestern regionSaudi Arabia Nursing supervisor of PHCs in Aljamoum Health Sector MakkahSaudi Arabia Department of Nursing Khafji General HospitalEastern regionSaudi Arabia Department of Nursing Forensic MedicineWestern regionMadinahSaudi Arabia South region-Jazan Dental Centre JazanSaudi Arabia King Fahad Hospital MakkahSaudi Arabia Department of Nursing Primary Care Health Center in Al RashidiyaWestern regionMakkahSaudi Arabia OBGYNE and Paediatric supervisor at Jazan General Hospital Jizan citySaudi Arabia Erada and Mental Health Complex TaifMecca regionSaudi Arabia Makkah Health Cluster MHCSaudi Arabia Makkah Health Cluster PHCSaudi Arabia Ministry of Health/Aljouf Health Affairs Sakaka AljoufQara-Alsalam 5108Saudi Arabia.

Objective:The present study aimed to address the care of psychiatric patients and its impact on nurses’behavior in Saudi ***:A cross-sectional quantitative questionnaire-based study was *** study was carried out in various government hospitals across different regions of Saudi ***:A total of 73 nurses participated in the study,with male nurses comprising the majority(61.6%)compared to *** a young nurse or with few years of work experience is linked with more predilection towards preventive behaviour and/or physical activity.A significant mean difference was observed,indicating higher scores for preventive behavior among females(female 14.93±5.82 *** 11.56±5.48,P=0.015).The Bonferroni post hoc multiple comparisons did not reveal any statistical significance for single ***(P=0.618),single ***(P=0.223),and married ***(P=0.020).Conclusion:The study results demonstrated a significant impact of caring for psychiatric patients on nurses’*** is concerning because psychological and mental health strain has been shown to contribute to unhealthy lifestyle habits,such as physical inactivity and sleep deprivation,which,in turn,can contribute to the increasing incidence and prevalence of chronic *** interventions targeting psychiatric and mental health nurses should be designed and examined to emphasize the importance of healthy lifestyle choices and an active lifestyle.

关键词： nurses psychiatric patients behaviour Saudi Arabia

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