The International Journal of Data Science and Network Security (IJDSNS) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Data Science and computer Network Security & its applications. The journal focuses on all technical and practical aspects of Data Analytics and security and its applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern data analytics and security threats and countermeasures, and establishing new collaborations in these areas.

The International Journal of Data Science and Network Security (IJDSNS) publishes the latest and high-quality research papers and methodologies in data science, analytics and Network Security & its applications .It covers a wide range of fields including statistics, biostatistics, big data, artificial intelligence, business, economics and finance, biological science, medical and medicine research and Data Security methods in wired and wireless networks. Papers on statistics, biostatistics, econometrics, computational methodologies, and numerical simulations are especially welcome if they are immediately applicable to the journal's key topics of interest. The journal also welcomes research on big data in business today, including, but not limited to the applications of new big data technologies, data mining techniques, Internet commerce, Cloud computations and Security methods of data commutations.

Papers for the regular issues of the journal can be submitted, year-round, electronically through email at submit.ijdsns@gmail.com, after the final acceptance of the paper, based upon the detailed review process, the paper will immediately be published online. However, assignment of the paper to a specific Volume / Issue of the Journal will be taken up by the Editorial Board later; and will be intimated accordingly. For Theme Based Special Issues, time bound Special Call for Papers will be announced and the same will be applicable for that specific issue only.