- Failure is success in progress.edit
Cybersecurity research includes several areas, such as authentication, software and hardware vulnerabilities, and defences against cyberattacks. However, only a limited number of cybersecurity experts have a comprehensive understanding of... more
Cybersecurity research includes several areas, such as authentication, software and hardware vulnerabilities, and defences against cyberattacks. However, only a limited number of cybersecurity experts have a comprehensive understanding of all aspects of this sector. Hence, it is vital to possess an impartial comprehension of the prevailing patterns in cybersecurity research. Scientometric analysis and knowledge mapping may effectively detect cybersecurity research trends, significant studies, and emerging technologies within this particular context. The main aim of this research is to comprehend the developmental trend of the academic literature about the concepts of "malware detection" and 'cybersecurity'. We collected 9,967 publications from January 2019 to December 2023 and used the Citespace tool for scientometric analysis. This study found six co-citation clusters,namely malware classification, evading malware classifier, android malware detection, IoT network, CNN, and ransomeware families. Additionally, this study discovered that the top contributing countries are the USA, China, and India based on the citation count, and the Chinese Academy of Science, the University of California, and the University of Texas are the top contributing institutions based on the frequency of the publications.
Research Interests:
Research Interests:
Knowledge is central to human and scientific developments. Natural Language Processing (NLP) allows automated analysis and creation of knowledge. Data is a crucial NLP and machine learning ingredient. The scarcity of open datasets is a... more
Knowledge is central to human and scientific developments. Natural Language Processing (NLP) allows automated analysis and creation of knowledge. Data is a crucial NLP and machine learning ingredient. The scarcity of open datasets is a well-known problem in the machine and deep learning research. This is very much the case for textual NLP datasets in English and other major world languages. For the Bangla language, the situation is even more challenging and the number of large datasets for NLP research is practically nil. We hereby present Potrika, a large single-label Bangla news article textual dataset curated for NLP research from six popular online news portals in Bangladesh (Jugantor, Jaijaidin, Ittefaq, Kaler Kontho, Inqilab, and Somoyer Alo) for the period 2014-2020. The articles are classified into eight distinct categories (National, Sports, International, Entertainment, Economy, Education, Politics, and Science & Technology) providing five attributes (News Article, Categor...
We live in a complex world characterised by complex people, complex times, and complex social, technological, and ecological environments. There is clear evidence that governments are failing at most public matters. The recent COVID-19... more
We live in a complex world characterised by complex people, complex times, and complex social, technological, and ecological environments. There is clear evidence that governments are failing at most public matters. The recent COVID-19 pandemic is a high example of global governance failure both at preventing such pandemics and managing the COVID-19 pandemic. It is time that all of us take responsibility and look into ways of collaboratively improving the governance of public matters, our matters. While there are many reasons for government failures, we believe the lack of information availability is a fundamental reason that limits the government’s ability to act smartly and allows the lack of transparency to creep into policy and action leading to corruption and failure. To this end, this paper introduces the concept of deep journalism, a data-driven deep learning-based approach for discovering multi-perspective parameters related to a topic of interest. We build three datasets (a...