• Adversarial attack defence analysis: An empirical approach in cybersecurity perspective 

      Barik, Kousik; Misra, Sanjay (Peer reviewed; Journal article, 2024)
      Advancements in artificial intelligence in the cybersecurity domain introduce significant security challenges. A critical concern is the exposure of deep learning techniques to adversarial attacks. Adversary users intentionally ...
    • Adversarial attack detection framework based on optimized weighted conditional stepwise adversarial network 

      Barik, Kousik; Misra, Sanjay; Fernandez-Sanz, Luis (Peer reviewed; Journal article, 2024)
      Artificial Intelligence (AI)-based IDS systems are susceptible to adversarial attacks and face challenges such as complex evaluation methods, elevated false positive rates, absence of effective validation, and time-intensive ...
    • Automatic Classification of Equivalent Mutants in Mutation Testing of Android Applications 

      Kusharki, Muhammad Bello; Misra, Sanjay; Muhammad-Bello, Bilkisu; Salihu, Ibrahim Anka; Suri, Bharti (Peer reviewed; Journal article, 2022)
      Software and symmetric testing methodologies are primarily used in detecting software defects, but these testing methodologies need to be optimized to mitigate the wasting of resources. As mobile applications are becoming ...
    • Behavior or culture? Investigating the use of cryptocurrencies for electronic commerce across the USA and China 

      Cristofaro, Matteo; Giardino, Pier Luigi; Misra, Sanjay; Pham, Quoc Trung; Hiep Phan, Hai (Peer reviewed; Journal article, 2022)
      Purpose – This paper claims to identify the behavioral and cultural features that push to use, or not, cryptocurrencies for electronic commerce. Indeed, despite the use of cryptocurrencies for electronic commerce spreading ...
    • A bibliometric review of grid parity, energy transition and electricity cost research for sustainable development 

      Adeyemi-Kayode, Temitope M.; Misra, Sanjay; Maskeliunas, Rytis; Damasevicius, Robertas (Peer reviewed; Journal article, 2023)
      As the topic of sustainable development continues to prominence in global affairs, the case for renewable energy has never been stronger. To be regarded as a perfect alternative to conventional (non-renewable) energy sources ...
    • Binary Fruit Fly Swarm Algorithms for the Set Covering Problem 

      Crawford, Broderick; Soto, Ricardo; Mella, Hanns de la Fuente; Elortegui, Claudio; Palma, Wenceslao; Torres-Rojas, Claudio; Vasconcellos-Gaete, Claudia; Becerra, Marcelo; Peña, Javier; Misra, Sanjay (Peer reviewed; Journal article, 2022)
      Currently, the industry is experiencing an exponential increase in dealing with binary-based combinatorial problems. In this sense, metaheuristics have been a common trend in the field in order to design approaches to solve ...
    • Blockchain based efficient tamper-proof EHR storage for decentralized cloud-assisted storage 

      Ramesh, Dharavath; Mishra, Rahul; Atrey, Pradeep K.; Edla, Damodar Reddy; Misra, Sanjay; Qi, Lianyong (Peer reviewed; Journal article, 2023)
      In recent years, the rapid and wide-ranging implementation of a cloud-based electronic healthcare record (EHR) storage system has shown significant advantages in effectively managing EHR for healthcare organizations and ...
    • A blockchain-based evaluation approach to analyse customer satisfaction using AI techniques 

      Barik, Kousik; Misra, Sanjay; Ray, Ajoy Kumar; Shukla, Ankur (Peer reviewed; Journal article, 2023)
      Due to technological advancements and consumer demands, online shopping creates new features and adapts to new standards. A robust customer satisfaction prediction model concerning trust and privacy platforms can encourage ...
    • Class-Level Refactoring Prediction by Ensemble Learning with Various Feature Selection Techniques 

      Panigrahi, Rasmita; Kuanar, Sanjay Kumar; Misra, Sanjay; Kumar, Lov (Peer reviewed; Journal article, 2022)
      Background: Refactoring is changing a software system without affecting the software functionality. The current researchers aim i to identify the appropriate method(s) or class(s) that needs to be refactored in object-oriented ...
    • Code smells analysis for android applications and a solution for less battery consumption 

      Gupta, Aakanshi; Suri, Bharti; Sharma, Deepanshu; Misra, Sanjay; Fernandez-Sanz, Luis (Peer reviewed; Journal article, 2024)
      In the digitization era, the battery consumption factor plays a vital role for the devices that operate Android software, expecting them to deliver high performance and good maintainability.The study aims to analyze the ...
    • Computational Complexity of Modified Blowfish Cryptographic Algorithm on Video Data 

      Adeniyi, Abidemi Emmanuel; Misra, Sanjay; Eniola, Daniel; Bokolo, Anthony Junior (Peer reviewed; Journal article, 2022)
      Background: The technological revolution has allowed users to exchange data and information in various fields, and this is one of the most prevalent uses of computer technologies. However, in a world where third parties ...
    • Cyber-physical network architecture for data stream provisioning in complex ecosystems 

      Okafor, Kennedy Chinedu; Ndinechi, Michael Chukwudi; Misra, Sanjay (Peer reviewed; Journal article, 2021)
      Intelligent fog cyber-physical social systems (iFog CPSS) is a novel smart city project that uses intrinsic processes to automate microservices such as edge-to-fog or fog-to-cloud monitoring of complex real-time activities. ...
    • Cybersecurity Deep: Approaches, Attacks Dataset, and Comparative Study 

      Barik, Kousik; Misra, Sanjay; Konar, Karabi; Fernandez-Sanz, Luis; Koyuncu, Murat (Peer reviewed; Journal article, 2022)
      Cyber attacks are increasing rapidly due to advanced digital technologies used by hackers. In addition, cybercriminals are conducting cyber attacks, making cyber security a rapidly growing field. Although machine learning ...
    • A deep learning framework for non-functional requirement classification 

      Rahman, Kiramat; Ghani, Anwar; Misra, Sanjay; Rahman, Arif Ur (Peer reviewed; Journal article, 2024)
      Analyzing, identifying, and classifying nonfunctional requirements from requirement documents is time-consuming and challenging. Machine learning-based approaches have been proposed to minimize analysts’ efforts, labor, ...
    • A deep learning method for automatic SMS spam classification: Performance of learning algorithms on indigenous dataset 

      Abayomi-Alli, Olusola; Misra, Sanjay; Abayomi-Alli, Adebayo (Peer reviewed; Journal article, 2022)
      SMS, one of the most popular and fast-growing GSM value-added services worldwide, has attracted unwanted SMS, also known as SMS spam. The effects of SMS spam are significant as it affects both the users and the service ...
    • Deep Neural Network Model for Evaluating and Achieving the Sustainable Development Goal 16 

      Misra, Ananya; Okewu, Emmanuel; Misra, Sanjay; Fernández-Sanz, Luis (Peer reviewed; Journal article, 2022)
      The decision-making process for attaining Sustainable Development Goals (SDGs) can be enhanced through the use of predictive modelling. The application of predictive tools like deep neural networks (DNN) empowers stakeholders ...
    • The Emerging Threat of Ai-driven Cyber Attacks: A Review 

      Guembe, Blessing; Azeta, Ambrose; Misra, Sanjay; Chukwudi Osamor, Victor; Fernandez-Sanz, Luis; Pospelova, Vera (Peer reviewed; Journal article, 2022)
      Cyberattacks are becoming more sophisticated and ubiquitous. Cybercriminals are inevitably adopting Artificial Intelligence (AI) techniques to evade the cyberspace and cause greater damages without being noticed. Researchers ...
    • An Ensemble Learning Model for COVID-19 Detection from Blood Test Samples 

      Abayomi-Alli, Olusola O.; Damaševičius, Robertas; Maskeliunas, Rytis; Misra, Sanjay (Peer reviewed; Journal article, 2022)
      Current research endeavors in the application of artificial intelligence (AI) methods in the diagnosis of the COVID-19 disease has proven indispensable with very promising results. Despite these promising results, there ...
    • An Ensemble-Based Hotel Reviews System Using Naive Bayes Classifier 

      Awotunde, Joseph Bamidele; Misra, Sanjay; Katta, Vikash; Adebayo, Oluwafemi Charles (Peer reviewed; Journal article, 2023)
      The task of classifying opinions conveyed in any form of text online is referred to as sentiment analysis. The emergence of social media usage and its spread has given room for sentiment analysis in our daily lives. Social ...
    • Federated Bayesian optimization XGBoost model for cyberattack detection in internet of medical things 

      Guembe, Blessing; Misra, Sanjay; Azeta, Ambrose (Peer reviewed; Journal article, 2024)
      Background Hospitals and medical facilities are increasingly concerned about network security and patient data privacy as the Internet of Medical Things (IoMT) infrastructures continue to develop. Researchers have studied ...