Volume-1 Issue-2, November 2021
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Volume-1 Issue-2, November 2021, ISSN: 2582-9238 (Online)
Published By: Lattice Science Publication (LSP)
A Network Intrusion Detection System Based on Categorical Boosting Technique using NSL-KDD
Shiladitya Raj1, Megha Jain2, Pradeep Chouksey3
Secure Online Transaction using Iris
K. Sivasankari1, Abhishek Balamurugan2, Sai Dhanush. R3, Sundeep. J.4
Editor-In-Chief
Dr. Krishnendu Rarhi
Ph.D(CSE), M.Tech (IT), MCA, BCA
Member of IEEE, ACM, Elsevier, Springer
Professor, Department of Computer Science and Engineering, Chandigarh University, Chandigarh (Punjab), India
Links: Google Scholar, ORCID, Scopus
Specialization: Cryptography, Cybersecurity, Blockchain Technology
General Editors
Dr. Ahmed A. Elngar
Ph.D.(CS), M.Tech.(CS), B.Sc.(CS)
Member of IEEE, ACM, Elsevier, Springer
Assistant Professor, Faculty of Computers & Artificial Intelligence, Department of Computer Science, Beni-Suef University Beni-Suef, Egypt.
Links: Google Scholar, ORCID, Scopus
Specialization: Internet of Things (IoT), Network Security, Artificial Intelligence
Dr. Gamal Abd El-Nasser Ahmed Mohamed Said
Ph.D.(CS), M.Sc.(CS), B.Sc.(EE)
Head, Department of Computer and Information Technology, Arab Academy for Science, Technology and Maritime Transport, Alexandria, Egypt.
Links: Google Scholar, ORCID, Scopus
Specialization: Artificial Intelligence, Optimization, Modeling & Simulation, Smart Ports, Algorithms
Dr. M. Vamsi Krishna
Ph.D(CS), M.Tech(CS), MCA
Associate Professor, Department of Computer Science and Engineering, Aditya Engineering College, Surampalem (A.P), India.
Links: Google Scholar
Specialization: Image Processing, Cloud Computing, Data Science
Associate Editors
Prof. (Dr.) Soumi Dutta
Ph.D.(CSE), M.Tech (CSE), B.Tech (IT)
Associate Professor, Department of Computer Science Engineering, Sister Nivedita University (SNU), West Bengal (Kolkata), India.
Links: Google Scholar, Scopus
Specialization: Data Mining, IoT, Machine Learning
Scientist Vishesh Mistry
M.Tech (CSE), B.Tech (CSE)
Research Scientist, Department of Research and Development, Tech5, United States of America.
Links: Google Scholar, ORCID
Specialization: Computer Vision, Biometrics (Face and Fingerprint Recognition), Machine Learning