Mitra Alidoosti | Network Security and Privacy | Editorial Member

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Dr. Mitra Alidoosti | Network Security and Privacy | Editorial Member 

Dr. Mitra Alidoosti | IUST | Iran

Dr. Mitra Alidoosti is a computer engineering researcher specializing in web application security, network security, and business-layer vulnerability analysis, contributing extensively to the advancement of dynamic security testing methods. Her work focuses on detecting complex logical vulnerabilities such as race conditions, session puzzling, and business-layer DoS attacks through innovative black-box and dynamic analysis approaches. She has authored multiple ISI and ISC-indexed publications in reputable journals, addressing web resiliency, semantic security testing, and SIP vulnerability assessment, along with several conference papers on secure protocol design, web penetration testing, and multi-step vulnerability detection. Her expertise spans penetration testing, secure architectural design, and process mining for web applications, supported by deep experience in security frameworks, protocol analysis, and automated testing tools. With 97 citations, an h-index of 5, and an i10-index of 2, she continues to contribute significant research in strengthening the security and reliability of complex web and communication systems.

Profiles: Google Scholar

Featured Publications: 

Mirjalili, M., Nowroozi, A., & Alidoosti, M. (2014). A survey on web penetration test. Advances in Computer Science: An International Journal, 3(6), 107–121.

Alidoosti, M., Nowroozi, A., & Nickabadi, A. (2020). Evaluating the web-application resiliency to business-layer DoS attacks. ETRI Journal, 42(3), 433–445.

Alidoosti, M., & Nowroozi, A. (2020). BLProM: A black-box approach for detecting business-layer processes in the web applications. Journal of Computing and Security (JCS), 6(2), 65–80.

Alidoosti, M., Asgharian, H., & Akbari, A. (2013). Security framework for designing SIP scanner. In 2013 21st Iranian Conference on Electrical Engineering (ICEE) (pp. 1–5).

Alidoosti, M., Nowroozi, A., & Nickabadi, A. (2022). Semantic web Racer: Dynamic security testing of the web application against race condition in the business layer. Expert Systems with Applications, 195, 116569.

Sathiyandrakumar Srinivasan | Network Security | Editorial Board Member

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Mr. Sathiyandrakumar Srinivasan | Network Security | Editorial Board Member

Mr. Sathiyandrakumar Srinivasan | V2 Technologies Inc | United States

Mr. Sathiyandrakumar Srinivasan is an active researcher associated with the Kalasalingam Academy of Research and Education. His scholarly contributions span  research publications, supported by 140 Scopus citations from 19 citing documents, reflecting measurable impact within his research domain. His work demonstrates consistent engagement with emerging scientific problems and collaborative scholarship,  With an h-index of 7, his research outputs show developing influence and continued citation growth, indicating early yet meaningful contributions to the field. His publications, documented within Scopus, highlight his involvement in contemporary academic investigations and his ability to contribute to multi-author, interdisciplinary studies. Overall, his research trajectory positions him as a steadily growing scholar whose work continues to gain recognition through increasing citations and academic reach.

Profile: Scopus | Google Scholar 

Featured Publications : 

Raman, R., Kantari, H., Gokhale, A. A., Elangovan, K., Meenakshi, B., … (2024). Agriculture yield estimation using machine learning algorithms. 2024 International Conference on Automation and Computation (AUTOCOM), 187-191.

Srinivasan, S., Deepalakshmi, P. (2023). Enhancing the security in cyber-world by detecting the botnets using ensemble classification based machine learning. Measurement: Sensors, 25, 100624.

Srinivasan, S., Saravanan, T. R., Ithayan, J. V., Ganesh, E. N., Devi, A. S. (2023). Unleashing the potential of IoT in tackling ocean pollution: A data-driven approach for marine ecosystem conservation. 2023 Second International Conference on Smart Technologies for Smart Nation, 31.

Lakshmi, V. V., Giriprasad, S., Vimal, S. P., Kantari, H., Meenakshi, B., … (2024). Wind power forecasting with support vector machines using sparrow search algorithm. 2024 2nd International Conference on Computer, Communication and Control, 29.

Srinivasan, S., Raman, R., Thacker, C. B., Shrivastava, A. (2023). Smart crosswalk management with vehicle-to-pedestrian communication. 2023 International Conference on Sustainable Communication Networks and Applications, 25.

Mr. Stephen Afrifa | Botnet Awards | Best Researcher Award-3213

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Mr. Stephen Afrifa | Botnet Awards | Best Researcher Award

Mr. Stephen Afrifa, Tianjin University, China

Mr. Stephen Afrifa is a dedicated lecturer in the Department of Information Technology and Decision Sciences at the University of Energy and Natural Resources (UENR), with a strong background in IT project management, data science, AI, and machine learning. He holds a Master of Science in Engineering from Tianjin University, China, where his research focused on using machine learning models to assess climate change impacts. With expertise in a wide range of programming languages and statistical tools, Stephen has developed software solutions and led research initiatives in both academic and professional settings. His leadership in AMANPENE Foundation and UENR reflects his commitment to using technology for societal good, particularly in climate modeling and poverty alleviation.

Professional Profile:

Google Scholar

Orcid

Scopus

Suitability for the Award:

Mr. Stephen Afrifa is a suitable candidate for the Best Researcher Award due to his strong academic background, impactful research publications, interdisciplinary collaborations, and leadership in addressing significant societal challenges through technology and AI. His dedication to teaching, research, and community service further bolsters his eligibility, making him a distinguished candidate deserving of this award.

Educational Background

Stephen holds a Master of Science in Engineering (Information and Communication Engineering) from Tianjin University, where he focused on machine learning models related to climate change. His foundational education includes a WASSCE Certificate from Kumasi High School.

Professional Overview

Mr. Stephen Afrifa is a proactive and versatile individual with a strong commitment to enhancing user experiences through technology. He excels in both quantitative and qualitative projects and thrives in international, multicultural environments.

Work Experience

Currently a Lecturer in the Department of Information Technology and Decision Sciences at the University of Energy and Natural Resources (UENR), Stephen supervises and guides students at various academic levels. He also serves as a part-time Software Application Developer at CY Technologies, leading software development and research projects.

Skills and Expertise

Well-versed in programming languages and statistical tools like Python, R, C/C++, and more, Stephen has a robust background in IT project management, network security, and data science. His research interests include IoT, cybersecurity, and cloud computing, emphasizing sustainable practices.

Honors and Leadership

Recognized as the Best Graduating Student in Computer Science at UENR and a recipient of the Absa Tertiary Scholarship, Stephen also holds leadership roles, including being an Academic Board Member at Eterno Press and a Lead Research Facilitator at UENR.

Publication Top Notes:

  • Title: Mathematical and Machine Learning Models for Groundwater Level Changes: A Systematic Review and Bibliographic Analysis
    • Year: 2022
    • Cited by: 44
  • Title: Detection of Anemia Using Conjunctiva Images: A Smartphone Application Approach
    • Year: 2023
    • Cited by: 23
  • Title: Ensemble Machine Learning Techniques for Accurate and Efficient Detection of Botnet Attacks in Connected Computers
    • Year: 2023
    • Cited by: 20
  • Title: Cyberbullying Detection on Twitter Using Natural Language Processing and Machine Learning Techniques
    • Year: 2022
    • Cited by: 16
  • Title: VAR, ARIMAX and ARIMA Models for Nowcasting Unemployment Rate in Ghana Using Google Trends
    • Year: 2023
    • Cited by: 15

 

 

Prof. Zaid Abduljabbar | Network Security Award | Best Researcher Award

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Prof. Zaid Abduljabbar | Network Security Award | Best Researcher Award

Prof. Zaid Abduljabbar, University of Basrah, Iraq

Prof. Zaid Abduljabbar is a distinguished researcher in the field of computer science, renowned for his groundbreaking work in privacy-preserving technologies and secure data sharing. With a solid educational background including a Ph.D. from Huazhong University of Science & Technology, and extensive research experience showcased through presentations at prestigious IEEE and ACM conferences, he continues to push the boundaries of knowledge. His contributions to SCI Journals like “Journal of Applied Sciences” and “Security and Communication Networks” have garnered widespread recognition, including the prestigious Best Paper Award at the 11th International Conference on Green, Pervasive and Cloud Computing (GPC’16) for his paper “Towards Secure Private Image Matching”.

🌐 Professional Profile:

Google Scholar

Education:

  • Bachelor of Science in Computer Science, University of Basrah, College of Science, Iraq (1997-09 to 2001-07)
  • Master of Science in Computer Science/Artificial Intelligence, University of Basrah, College of Science, Iraq (2004-09 to 2006-07)
  • Ph.D. in Computer applied technology, Huazhong University of Science & Technology, School of Computer Science and Technology, China (2014-02 to 2017-01)

Research Experience:

  • Presented papers at various conferences including IEEE and ACM conferences, covering topics such as privacy-preserving image retrieval, secure data sharing, and parallel pipeline rendering.
  • Published papers in SCI Journals like “Journal of Applied Sciences” and “Security and Communication Networks”, covering topics such as private image matching, encrypted image retrieval, and secure web browsing.
  • Received the best paper award at the 11th International Conference on Green, Pervasive and Cloud Computing (GPC’16) for the paper titled “Towards Secure Private Image Matching”.

Awards:

  • Best Paper Award at the 11th International Conference on Green, Pervasive and Cloud Computing (GPC’16) for the paper “Towards Secure Private Image Matching”.

Publication Top Notes:

  1. Title: Provably secure and fast color image encryption algorithm based on s-boxes and hyperchaotic map
    • Citations: 69
    • Year: 2022
  2. Title: An effective image retrieval based on optimized genetic algorithm utilized a novel SVM-based convolutional neural network classifier
    • Citations: 68
    • Year: 2019
  3. Title: Millets and millet technology
    • Citations: 38
    • Year: 2021
  4. Title: Audio steganography with enhanced LSB method for securing encrypted text with bit cycling
    • Citations: 34
    • Year: 2022
  5. Title: LEACH-T: LEACH clustering protocol based on three layers
    • Citations: 33
    • Year: 2016

 

 

 

 

Dr. Pushpinder Chouhan | Deception Technology Award | Women Researcher Award

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Dr. Pushpinder Chouhan | Deception Technology Award | Women Researcher Award

Dr. Pushpinder Chouhan, British Telecommunications plc, United Kingdom

🌟 Dr. Pushpinder Chouhan is a seasoned Senior Research Scientist at BT Plc, specializing in cybersecurity and data science with over 20 years of experience. Leading innovative projects in continuous authentication and cybersecurity deception, he has developed cutting-edge solutions ensuring network security. With a background in distributed high-performance computing and AI/IoT, he has led multiple medium to large-scale projects, including those at Ulster University and Queens University Belfast. Dr. Chouhan holds a Ph.D. in Computer Science from ENS Lyon, France, and is recognized for his exceptional contributions with numerous patents and accolades, including being ranked in the top 10% of authors in the International Journal of Communication Systems. 🛡️🔬

Professional Profile:

Scopus

🎓 Education:

Dr. Chouhan holds a Ph.D. in Computer Science from ENS Lyon, France, with a focus on automatic deployment techniques. Her academic journey includes an impressive track record of research and innovation.

🏢 Work Experience:

Currently serving as a Senior Research Scientist at BT Plc, Dr. Chouhan leads groundbreaking projects in continuous authentication and deception-based cybersecurity. Previously, she held key roles at Ulster University, Queens University Belfast, and Marturion Ltd, managing and directing medium to large-scale projects.

💻 Skills:

Proficient in various programming languages including R, Python, C++, and Java, Dr. Chouhan also possesses strong leadership and project management skills. Her expertise extends to database management, web technologies, and operating systems.

🏆 Accomplishments:

Recognized as an accomplished engineer by BT and awarded the TechWomen100 Individual Winner title in 2023, Dr. Chouhan’s contributions to academia and industry are highly esteemed.

Scopus Metrics:

  • 📝 Publications: 12 documents indexed in Scopus.
  • 📊 Citations: A total of 897 citations for his publications, reflecting the widespread impact and recognition of Dr. Pushpinder’s research within the academic community.

Publications Top Notes :

  1. A comprehensive survey on software-defined networking for smart communities
    • Published in the International Journal of Communication Systems in 2022.
    • Cited by 5 articles.
  2. Evaluation of an IoT framework for a workplace wellbeing application
    • Conference paper presented at the 2019 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Internet of People and Smart City Innovation, SmartWorld/UIC/ATC/SCALCOM/IOP/SCI 2019, in 2019.
    • Cited by 5 articles.
  3. Cryptography for security in IoT
    • Conference paper presented at the 2018 5th International Conference on Internet of Things: Systems, Management and Security, IoTSMS 2018, in 2018.
    • Cited by 19 articles.
  4. Situation assessment to secure IoT applications
    • Conference paper presented at the 2018 5th International Conference on Internet of Things: Systems, Management and Security, IoTSMS 2018, in 2018.
    • Cited by 16 articles.
  5. Software as a service: Understanding security issues
    • Conference paper presented at the Proceedings of the 2015 Science and Information Conference, SAI 2015, in 2015.
    • Cited by 16 articles.