OTP as a Service in the Cloud Allows for Authentication of Multiple Services

Shynu  T; S. Suman  Rajest; R.  Regin; Steffi.  R

doi:10.31149/ijot.v5i4.4306

Authors

Shynu T Master of Engineering, Department of Biomedical Engineering, Agni College of Technology, Chennai, Tamil Nadu, India
S. Suman Rajest Professor, Bharath Institute of Higher Education and Research, Chennai, Tamil Nadu, India
R. Regin
[email protected]
Assistant Professor, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Ramapuram, India
Steffi. R Assistant Professor, Department of Electronics and Communication, Vins Christian College of Engineering, Tamil Nadu, India

Vol. 5 No. 4 (2023): International Journal on Orange Technologies

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April 30, 2023

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Users no longer trust traditional password-based authentication methods since so many online services now interact with one another. Credentials obtained online are often used to reclaim additional credentials, and sophisticated assaults often target the weakest of a large number of available credentials. One-time passwords and a two-factor authentication mechanism appear to be a natural improvement over traditional username/password schemes, thus researchers are looking into them. The OTP verifier is deployed to the cloud in this manuscript to facilitate its use by cloud service providers. OTP providers can outsource their OTP deployments to the cloud and cloud customers can activate their accounts on the OTP provider across many cloud services when the OTP verifier is hosted in the cloud as a service. This lets them take advantage of multiple cloud services without having to juggle multiple OTP accounts. Alternatively, OTP service provision prevents novice SMEs from overspending on OTP provisioning hardware, software, and staff. This paper presents the architecture necessary to create a trustworthy OTP provider in the cloud, one that respects users' right to privacy. The OTP provider registration, activation, and authentication processes for cloud users are examined. We define and evaluate the privacy and security implications of the suggested architecture. With these assumptions in place, attacks from unknown sources, user profiles with unlinkable features, inquisitive service providers, and OTP verifiers are all thwarted. The analysis ensures the reliability and validity of the proposed solution, which places the OTP supplier in the cloud.

T, S., Rajest, S. S. ., Regin, R. ., & R, S. . (2023). OTP as a Service in the Cloud Allows for Authentication of Multiple Services. International Journal on Orange Technologies, 5(4), 94–112. https://doi.org/10.31149/ijot.v5i4.4306

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101. Pandya S., R. Gadekallu, P. K. Reddy, W. Wang and M. Alazab, "InfusedHeart: A Novel Knowledge-Infused Learning Framework for Diagnosis of Cardiovascular Events," IEEE Transactions on Computational Social Systems.
102. Ghayvat, H., Pandya, S., Bhattacharya, P., Zuhair, M. et al., CP-BDHCA: Blockchain- based Confidentiality-Privacy preserving Big Data scheme for healthcare clouds and applications, IEEE Journal of Biomedical and Health Informatics(J-BHI), doi: 1109/JBHI.2021.3097237.
103. Ghayvat, H., Awais, M., Bashir, Pandya S., K. et al. AI-enabled radiologist in the loop: novel AI-based framework to augment radiologist performance for COVID-19 chest CT medical image annotation and classification from pneumonia. Neural Comput & Applic (2022). https://doi.org/10.1007/s00521-022-07055-1.
104. Ghayvat, H., Pandya, S., M. Awais, K. Dev, “STRENUOUS: Edge-Line Computing, AI and IIoT enabled GPS Spatiotemporal data-based Meta-transmission Healthcare Ecosystem for Virus Outbreaks Discovery”, IEEE Internet of Things Journal, doi: 10.1109/JIOT.2022.3147428.
105. Arikumar, K.S.; Prathiba, S.B.; Alazab, M.; Gadekallu, T.R.; Pandya, S.; Khan, J.M.; Moorthy, R.S. FL-PMI: Federated Learning-Based Person Movement Identification through Wearable Devices in Smart Healthcare Sensors 2022, 22, 1377.
106. Patil S, Pandya “Forecasting Dengue Hotspots Associated with Variation in Meteorological Parameters Using Regression and Time Series Models.” Frontiers in public health. 2021;9.
107. Pandya Sharnil, Sur, A, Solke, N, COVIDSAVIOUR: A Novel Sensor-Fusion and Deep Learning-Based Framework for Virus Outbreaks, Frontiers in Public Health, doi: 10.3389/fpubh.2021.797808
108. Pandya, and Ghayvat, H., Ambient acoustic event assistive framework for identification, detection, and recognition of unknown acoustic events of a residence. Advanced Engineering Informatics, 47, p.1012, 2021, Elsevier.
109. Ghayvat, H., Awais, M., Gope, P., Pandya, S. and Majumdar, S., 2021. ReCognizing SUspect and PredictiNg ThE SpRead of Contagion Based on Mobile Phone LoCation DaTa: A System of identifying COVID-19 infectious and hazardous sites, detecting disease outbreaks based on the internet of things, edge computing, and artificial intelligence, Sustainable Cities and Society, p.102798, Elsevier.
110. Pandya, Sharnil, Aanchal Thakur, Santosh Saxena, Nandita Jassal, Chirag Patel, Kirit Modi, Pooja Shah, Rahul Joshi, Sudhanshu Gonge, Kalyani Kadam, and Prachi Kadam. A Study of the Recent Trends of Immunology: Key Challenges, Domains, Applications, Datasets, and Future Directions, Sensors, 2021, 23: 7786.
111. Abolfazl Mehbodniya, L. Arokia Jesu Prabhu, Julian L. Webber, Dilip Kumar Sharma, Pandya, Sharnil, Fetal Health Classification from Cardiotocographic Data Using Machine Learning, Expert Systems, Wiley,
112. Mishra, N. and Pandya, , Internet of Things Applications, Security Challenges, Attacks, Intrusion Detection, and Future Visions: A Systematic Review, IEEE Access, April 2021.
113. Nivedita Mishra, Pandya, Sharnil Chirag Patel et al. Memcached: An Experimental Study of DDoS Attacks for the Wellbeing of IoT applications”, Sensors 2022.
114. Shah A, Ahirrao S, Pandya S, Kotecha K and Rathod S, Smart Cardiac Framework for an Early Detection of Cardiac Arrest Condition and Risk, Frontiers in Public Health, doi: 10.3389/fpubh.2021.762303
115. Sushruta Mishra,Hrudaya Kumar Tripathy,Hiren Kumar Thakkar,Deepak Garg,Ketan Kotecha*,Sharnil Pandya, An Explainable Intelligence Driven Query Prioritization using Balanced Decision Tree Approach for Multi Level Psychological Disorders Assessment, Frontiers in Public Health, 2021 doi: 3389/fpubh.2021.797808
116. Ghayvat, ; Awais, M.; Pandya, S.; Ren, H.; Akbarzadeh, S.; Chandra Mukhopadhyay, S.; Chen, C.; Gope, P.; Chouhan, A.; Chen, W. Smart Aging System: Uncovering the Hidden Wellness Parameter for Well-Being Monitoring and Anomaly Detection. Sensors, 19, 766. [IF: 3.5]
117. Pandya, S, Sur, A. and Kotecha, K., "Smart epidemic tunnel: IoT-based sensor-fusion assistive technology for COVID-19 disinfection", International Journal of Pervasive Computing and Communications, Emerald Publishing.
118. Srivastava, A., Jain, S., Miranda, R., Patil, S., Pandya, S., Kotecha K. 2021. Deep learning-based respiratory sound analysis for detection of chronic obstructive pulmonary PeerJ Computer Science 7:e369. ]
119. Karn, A.L., Pandya, S., Mehbodniya, A. et al. An integrated approach for sustainable development of wastewater treatment and management system using IoT in smart Soft Computing, Springer, 2021. https://doi.org/10.1007/s00500-021-06244-9.
120. Pandya, S., Ghayvat, H., Sur, A., Awais, M., Kotecha, K., Saxena, S., Jassal, N., Pingale, G. Pollution Weather Prediction System: Smart Outdoor Pollution Monitoring and Prediction for Healthy Breathing and Sensors, 2020, 20, 5448.
121. Awais, , Ghayvat, H., Krishnan Pandarathodiyil, A., Nabillah Ghani, W.M., Ramanathan, A., Pandya, S., Walter, N., Saad, M.N., Zain, R.B., Faye, I. Healthcare Professional in the Loop (HPIL): Classification of Standard and Oral Cancer-Causing Anomalous Regions of Oral Cavity Using Textural Analysis Technique in Autofluorescence Imaging. Sensors, 2020, 20, 5780.
122. Patel, C.I., Labana, D., Pandya, S., Modi, K., Ghayvat, H. and Awais, M., 2020. Histogram of Oriented Gradient-Based Fusion of Features for Human Action Recognition in Action Video Sensors, 20(24), p.7299.
123. Pandya, , Ghayvat, H.; Kotecha, K.; Awais, M.; Akbarzadeh, S.; Gope, P.; Mukhopadhyay, S.C.; Chen, W. Smart Home Anti-Theft System: A Novel Approach for Near Real-Time Monitoring and Smart Home Security for Wellness Protocol. Appl. Syst. Innov.
124. Barot, V., Kapadia, V., & Pandya, S., QoS Enabled IoT Based Low Cost Air Quality Monitoring System with Power Consumption Optimization, Cybernetics and Information Technologies, 2020, 20(2), 122-140, Bulgarian Academy of Science.
125. Pandya, S., Wakchaure MA, Shankar R, Annam JR. Analysis of NOMA-OFDM 5G wireless system using deep neural network. The Journal of Defense Modeling.
126. A, V. V. ., T, S. ., S, S. N. ., & Rajest, D. S. S. . (2022). IoT-Based Automated Oxygen Pumping System for Acute Asthma Patients. European Journal of Life Safety and Stability (2660-9630), 19 (7), 8-34.
127. Regin, D. R., Rajest, D. S. S., T, S., G, J. A. C., & R, S. (2022). An Automated Conversation System Using Natural Language Processing (NLP) Chatbot in Python. Central Asian Journal Of Medical And Natural Sciences, 3(4), 314-336.
128. Rajest, S. S. ., Regin, R. ., T, S. ., G, J. A. C. ., & R, S. . (2022). Production of Blockchains as Well as their Implementation. Vital Annex : International Journal of Novel Research in Advanced Sciences, 1(2), 21–44.
129. T, S., Rajest, S. S., Regin, R., Christabel G, J. A., & R, S. (2022). Automation And Control Of Industrial Operations Using Android Mobile Devices Based On The Internet Of Things. Central Asian Journal of Mathematical Theory and Computer Sciences, 3(9), 1-33.
130. Jerusha Angelene Christabel G, Shynu T, S. Suman Rajest, R. Regin, & Steffi. R. (2022). The use of Internet of Things (Iot) Technology in the Context of “Smart Gardens” is Becoming Increasingly Popular. International Journal of Biological Engineering and Agriculture, 1(2), 1–13.
131. R. Regin, Steffi. R, Jerusha Angelene Christabel G, Shynu T, S. Suman Rajest (2022), “Internet of Things (IoT) System Using Interrelated Computing Devices in Billing System”, Journal of Advanced Research in Dynamical and Control Systems, Vol.14, no.1, pp. 24-40.
132. S. S. Rajest, R. Regin, S. T, J. A. C. G, and S. R, “Improving Infrastructure and Transportation Systems Using Internet of Things Based Smart City”, CAJOTAS, vol. 3, no. 9, pp. 125-141, Sep. 2022.
133. Regin, R., Rajest, S. S., T, S., Christabel G, J. A. and R, S. (2022) “The Influence that the Advertising of Pharmaceuticals has on the Economy”, Central Asian Journal Of Social Sciences And History, 3(10), pp. 1-18.
134. Priscila, S. S., Rajest, S. S., T, S. and G, G. (2022) “An Improvised Virtual Queue Algorithm to Manipulate the Congestion in High-Speed Network”, Central Asian Journal of Medical and Natural Science, 3(6), pp. 343-360.
135. Regin, R., Rajest, S. S., T, S., & R, S. (2023). An Analytical Study of Development in Response to the COVID-19 Pandemic. Central Asian Journal of Medical and Natural Science, 4(1), 199-216. https://doi.org/10.17605/OSF.IO/423PJ
136. Regin, R., Rajest, S. S., T, S., & R, S. (2023). A Review of Secure Neural Networks and Big Data Mining Applications in Financial Risk Assessment. Central Asian Journal of Innovations on Tourism Management and Finance, 4(2), 73-90.
137. T, S., Rajest, S. S., Regin, R., & R, S. (2023). A Review on Using Machine Learning to Conduct Facial Analysis in Real Time for Real-Time Profiling. International Journal of Human Computing Studies, 5(2), 18-37.
138. Rajest, S. S., Regin, R., T, S., & R, S. (2023). A New Natural Language Processing-Based Essay Grading Algorithm. International Journal on Integrated Education, 6(3), 1-22.
139. Steffi. R, S. Suman Rajest, R. Regin, & Shynu T. (2023). The Identification and Classification of Rash Conditions Compared to Skin Cancer . European Journal of Life Safety and Stability (2660-9630), 27, 4-27.
140. Shynu T, S. Suman Rajest, R. Regin, & Steffi. R. (2023). Data Mining-Based Point of Sale with Auto-Source Triggering and Business Reports. Central Asian Journal Of Mathematical Theory And Computer Sciences, 4(2), 116-141.
141. S. Suman Rajest, Shynu T, R. Regin, & Steffi. R. (2023). The Use of Deep Learning Methods for the Detection of Diseases in Plant Leaves. Central Asian Journal of Theoretical and Applied Science, 4(3), 67-91.
142. Steffi. R, S. Suman Rajest, R. Regin, & Shynu T. (2023). An Authenticated Vehicle Owner Identification System Based on License Plate Readers. Central Asian Journal of Mathematical Theory and Computer Sciences, 4(3), 42-58.
143. R. Regin, S. Suman Rajest, Shynu T, & Steffi. R. (2023). The Application of Machine Learning to the Prediction of Heart Attack. International Journal of Human Computing Studies, 5(4), 5-25.
144. S. Suman Rajest, Shynu T, R. Regin, & Steffi. R. (2023). A Visual Approach for Detecting Tyre Flaws That Makes Use of The Curvelet Characteristic. International Journal on Orange Technologies, 5(4), 17-40.
145. Mehta P, Pandya S., Kotecha K. 2021. Harvesting social media sentiment analysis to enhance stock market prediction using deep learning, PeerJ Computer Science 7:e369.
146. Sur S., Pandya, S., Ramesh P. Sah, Ketan Kotecha & Swapnil Narkhede, Influence of bed temperature on performance of silica gel/methanol adsorption refrigeration system at adsorption equilibrium, Particulate Science.
147. Shynu, Obaid, A. J., Singh, B., Rajest, S. S., Regin, R., & Priscila, S. S. (2022). Sustainable intelligent outbreak with self-directed learning system and feature extraction approach in technology. International Journal of Intelligent Engineering Informatics, 10(6), pp.484-503 1.
148. Sur, A., Sah, R., Pandya, S., Milk storage system for remote areas using solar thermal energy and adsorption cooling, Materials Today, Volume 28, Part 3,
149. N. Fatima, "New homotopy perturbation method for solving nonlinear differential equations and fisher type equation," IEEE International Conference on Power, Control, Signals and Instrumentation Engineering, Chennai, India, 2017, pp. 1669-1673.
150. N. Fatima, S. Daniel, “Solution of Wave Equations and Heat Equations Using HPM” Applied Mathematics and Scientific Computing. Trends in Mathematics”, vol.2 pp. 367-374, Feb 2019.
151. N. Fatima, “Solution of Gas Dynamic and Wave Equations with VIM” Advances in Fluid Dynamics. Lecture Notes in Mechanical Engineering. Springer, Singapore, vol 1 pp. 81-91, July. 2021.
152. N. Fatima, "Homotopy Perturbation Method for Solving Boussinesq and Fishers Type Equations," 2016 Second International Conference on Computational Intelligence & Communication Technology (CICT), Ghaziabad, India, 2016, pp. 478-483.
153. M. Dhariwal, N. Fatima, “Homotopy Perturbation Method for Solving Mathematical Model of Novel Coronavirus Differential Equations” (June 15, 2020).
154. N. Fatima, M. Dhariwal, “Solution of Nonlinear Coupled Burger and Linear Burgers Equation” Int. J. Eng. Technol, 7, 670-674.
155. M Dhariwal, N Fatima, “New Homotopy Pertubation Method for Solving of Coupled Equation and Heat Equation and Laplace Equation”, Communication and Computing Systems, 2019.
156. M. Dhariwal, N. Fatima, “Comparison of Homotopy Perturbation Method with New Homotopy Perturbation Method” Proceedings of International Conference on Sustainable Computing in Science, Technology and Management (SUSCOM), Amity University Rajasthan, Jaipur - India, February 26-28, 2019, available at SSRN: https://ssrn.com/abstract=3358758 or http://dx.doi.org/10.2139/ssrn.3358758
157. N. Fatima, "Breakdown of characteristics solution in steady fluid with internal state variables," 2015 International Conference on Futuristic Trends on Computational Analysis and Knowledge Management (ABLAZE), Greater Noida, India, 2015, pp. 671-677.
158. N. Fatima, K. Pandey “Effect of Radiative-Heat Transfer on Compression Pulses in Steady Fluid with Internal State Variables over a Concave Wall” International Journal of Applied Engineering Research, 10(35), 2015.
159. N. Fatima, "Influence of radiative heat on progress and decline of sonic waves with internal state variables" 2017 International Conference on Infocom Technologies and Unmanned Systems (Trends and Future Directions) (ICTUS), Dubai, United Arab Emirates, 2017, pp. 859-863.
160. Lumapenet, H. T. (2022). Effectiveness of Self-Learning Modules on Students’ Learning in English Amidst Pandemic. Resmilitaris, 12(6), 949-953.
161. Guiamalon, T. S. (2022). Internship In Times Of Pandemic: A Qualitative Phenomenological Study. Resmilitaris, 12(6), 1039-1050.
162. Srinath Venkatesan, “Design an Intrusion Detection System based on Feature Selection Using ML Algorithms”, MSEA, vol. 72, no. 1, pp. 702–710, Feb. 2023
163. Srinath Venkatesan, “Identification Protocol Heterogeneous Systems in Cloud Computing”, MSEA, vol. 72, no. 1, pp. 615–621, Feb. 2023.
164. Cristian Laverde Albarracín, Srinath Venkatesan, Arnaldo Yana Torres, Patricio Yánez-Moretta, Juan Carlos Juarez Vargas, “Exploration on Cloud Computing Techniques and Its Energy Concern”, MSEA, vol. 72, no. 1, pp. 749–758, Feb. 2023.
165. Srinath Venkatesan, “Perspectives and Challenges of Artificial Intelligence Techniques in Commercial Social Networks”Volume 21, No 5 (2023).
166. Srinath Venkatesan, Zubaida Rehman, “The Power Of 5g Networks and Emerging Technology and Innovation: Overcoming Ongoing Century Challenges” Ion exchange and adsorption, Volume 23, Issue 1, 2023.
167. Srinath Venkatesan, “Challenges of Datafication: Theoretical, Training, And Communication Aspects of Artificial Intelligence” Ion exchange and adsorption. Volume 23, Issue 1, 2023.
168. Giovanny Haro-Sosa , Srinath Venkatesan, “Personified Health Care Transitions With Automated Doctor Appointment System: Logistics”, Journal of Pharmaceutical Negative Results, pp. 2832–2839, Feb. 2023
169. Srinath Venkatesan, Sandeep Bhatnagar, José Luis Tinajero León, "A Recommender System Based on Matrix Factorization Techniques Using Collaborative Filtering Algorithm", neuroquantology, vol. 21, no. 5, pp. 864-872, march 2023.
170. Srinath Venkatesan, "Utilization of Media Skills and Technology Use Among Students and Educators in The State of New York", Neuroquantology, Vol. 21, No 5, pp. 111-124, (2023).
171. Srinath Venkatesan, Sandeep Bhatnagar, Iván Mesias Hidalgo Cajo, Xavier Leopoldo Gracia Cervantes, "Efficient Public Key Cryptosystem for wireless Network", Neuroquantology, Vol. 21, No 5, pp. 600-606, (2023).
172. V. S. R. Kosuru and A. K. Venkitaraman, “Developing a Deep Q-Learning and Neural Network Framework for Trajectory Planning”, EJENG, vol. 7, no. 6, pp. 148–157, Dec. 2022.
173. K. Venkitaraman and V. S. R. Kosuru, “Hybrid Deep Learning Mechanism for Charging Control and Management of Electric Vehicles”, EJECE, vol. 7, no. 1, pp. 38–46, Jan. 2023.
174. Khan, S. (2021). Visual Data Analysis and Simulation Prediction for COVID-19 in Saudi Arabia Using SEIR Prediction Model. International Journal of Online Biomedical Engineering, 17(8).
175. Khan, S., & Alghulaiakh, H. (2020). ARIMA Model for Accurate Time Series Stocks Forecasting. International Journal of Advanced Computer Science Applications, 11(7), 524-528.
176. Khan, S., & Alqahtani, S. (2020). Big data application and its impact on education. International Journal of Emerging Technologies in Learning, 15(17), 36-46.
177. Khan, S., Fazil, M., Sejwal, V. K., Alshara, M. A., Alotaibi, R. M., Kamal, A., & Baig, A. R. (2022). BiCHAT: BiLSTM with deep CNN and hierarchical attention for hate speech detection. Journal of King Saud University-Computer Information Sciences, 34(7), 4335-4344.
178. Khan, S., Saravanan, V., Lakshmi, T. J., Deb, N., & Othman, N. A. (2022). Privacy Protection of Healthcare Data over Social Networks Using Machine Learning Algorithms. Computational Intelligence and Neuroscience, 2022(Article ID 9985933).
179. Khan, S., & AlSuwaidan, L. (2022). Agricultural monitoring system in video surveillance object detection using feature extraction and classification by deep learning techniques. Computers and Electrical Engineering, 102, 108201.
180. Khan, S. (2022). Business Intelligence Aspect for Emotions and Sentiments Analysis. Paper presented at the 2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT).
181. Khan, S. A., Reemiah Muneer. (2023). A Novel Thresholding for Prediction Analytics with Machine Learning Techniques. International Journal Of Computer Science And Network Security, 23(1), 33.
182. Khan, S., & AlAjmi, M. F. (2019). A Review on Security Concerns in Cloud Computing and their Solutions. International Journal of Computer Science Network Security, 19(2), 10.
183. Alfaifi, A. A., & Khan, S. G. (2022). Utilizing Data from Twitter to Explore the UX of “Madrasati” as a Saudi e-Learning Platform Compelled by the Pandemic. Arab Gulf Journal of Scientific Research, 39(3), 200-208.
184. Aryal, A., Stricklin, I., Behzadirad, M., Branch, D. W., Siddiqui, A., & Busani, T. (2022). High-Quality Dry Etching of LiNbO3 Assisted by Proton Substitution through H2-Plasma Surface Treatment. Nanomaterials, 12(16), 2836.
185. Paldi, Robynne L., Arjun Aryal, Mahmoud Behzadirad, Tito Busani, Aleem Siddiqui, and Haiyan Wang. "Nanocomposite-seeded Single-Domain Growth of Lithium Niobate Thin Films for Photonic Applications." In 2021 Conference on Lasers and Electro-Optics (CLEO), pp. 1-2. IEEE, 2021.
186. Shifat, A. Z., Stricklin, I., Chityala, R. K., Aryal, A., Esteves, G., Siddiqui, A., & Busani, T. (2023). Vertical Etching of Scandium Aluminum Nitride Thin Films Using TMAH Solution. Nanomaterials, 13(2), 274.
187. R. Oak, M. Du, D. Yan, H. Takawale, and I. Amit, “Malware detection on highly imbalanced data through sequence modeling,” in Proceedings of the 12th ACM Workshop on Artificial Intelligence and Security - AISec’19, 2019.
188. Amit Kumar Jain, “Overview of Serverless Architecture,” International Journal of Engineering Research & Technology, vol. 11, no. 09, p. 3, 2022.
189. Amit Kumar Jain, “Multi-Cloud Computing & Why do we need to Embrace it,” International Journal Of Engineering Research & Technology, vol. 11, no. 09, p. 1, 2022.
190. Amit Kumar Jain, “Hybrid Cloud Computing: A Perspective,” International Journal of Engineering Research & Technology, vol. 11, no. 10, p. 1, 2022.
191. M. Farman, A. Akgül, M.T. Tekin, M. M. Akram, A. Aqeel , E. E. Mahmoud, I. S. Yahia, “Fractal fractional-order derivative for HIV/AIDS model with Mittag-Leffler kernel”, Alex. Eng. J, vol. 61, no. 12,pp. 10965-10980, April 2022.
192. K.S. Nisar, A. Aqeel, M. Inc, M. Farman, H. Rezazadeh, L. Akinyemi, M.M. Mannan, “Analysis of dengue transmission using fractional order scheme”, Aims Math, vol. 7 no. 5, pp. 8408–8429, May 2022.
193. M.M. Akram, M. Farman, A. Akgül, M. U. Saleem, A. Ahmad, M. Partohaghigh, F. Jarad, “Analysis of HIV/AIDS model with Mittag-Leffler kernel”, Aims Math, vol. 7 no. 7, pp. 13383-13401, July 2022.
194. Roja Boina, “Assessing the Increasing Rate of Parkinson's Disease in the US and its Prevention Techniques”, International Journal of Biotechnology Research and Development, 3(1), pp. 1-18, 2022.
195. S. Pandya, T. R. Gadekallu, P. K. Reddy, W. Wang and M. Alazab, "InfusedHeart: A Novel Knowledge-Infused Learning Framework for Diagnosis of Cardiovascular Events," in IEEE Transactions on Computational Social Systems, doi: 10.1109/TCSS.2022.3151643.