23 research outputs found
Privacy-Preserving Artificial Intelligence: Principles, Methods, Applications, and Challenges
No full textArtificial intelligence systems increasingly rely on large volumes of sensitive data to support decision making in domains such as healthcare, finance, education, and public administration. While these systems offer substantial benefits, their growing dependence on personal information has intensified concerns about privacy, data misuse, and loss of public trust. This study examines privacy-preserving artificial intelligence as a design approach that enables meaningful data analysis while limiting exposure of sensitive information. The paper analyses key privacy-preserving techniques, including federated learning, differential privacy, homomorphic encryption, and secure multi party computation, and evaluates their relevance across critical application domains. It also identifies practical challenges related to computational cost, data heterogeneity, regulatory compliance, and explainability. The study shows that privacy-preserving methods can support responsible and trustworthy artificial intelligence when privacy, utility, and governance considerations are addressed together
A Multi-layer Stack Ensemble Approach to Improve Intrusion Detection System's Prediction Accuracy
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Game-theoretical Approaches to Cyber-crime Monitoring
No full textOur society\u27s diploma of reliance on IT and our online world is developing daily. Cyberspace, the call given to the worldwide and dynamic domain, composed of the infrastructure of the statistics era consisting of the net networks and statistics and telecommunications structures has supplied extraordinary globalization that gives new opportunities, but additionally includes new challenges, risks, and threats. Knowledge of its threats, dealing with the risks, and constructing suitable prevention, defense, detection, evaluation, investigation, and recuperation is essential. Given the present-day assessment of the statistics safety and intrusion detection, there\u27s without a doubt a want for a choice and manipulation framework to cope with problems like assault modeling, evaluation of detected threats, and choice of reaction actions. We look at the goals of designing a mathematical version for gamified cybercrime tracking in a community environment
Multi-level access priority channel allocation strategies in Global System for Mobile communications (GSM) networks
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Development of Recovery and Redundancy Model for Real Time Wireless Networks
No full textThe growth in wireless technologies applications makes the necessity of providing a reliable communication over wireless networks become obvious. Guaranteeing real time communication in wireless medium poses a significant challenge due to its poor delivery reliability. In this study, a recovery and redundancy model based on sequential time division multiple access (S-TDMA) for wireless communication is developed. The media access control (MAC) layer of the S-TDMA determines which station should transmit at a given time slot based on channel state of the station. Simulations of the system models were carried out using MATLAB SIMULINK software. SIMULINK blocks from the signal processing and communication block sets were used to model the communication system. The S-TDMA performance is evaluated with total link reliability, system throughput, average probability of correct delivery before deadline and system latency. The evaluation results displayed in graphs when compared with instant retry and drop of frame were found to be reliable in recovering loss packets
A Simple Computer Game for Learning Mathematics
No full textIt is sometimes unquantifiable how hard it is for most people to deal with game addiction. Several articles have equally been published to address this subject, some suggesting the concept of Educational and serious games. Similarly, researchers have revealed that it does not come easy learning a subject like math. This is where the illusive world of computer games comes in. It is amazing how much people learn from games. In this paper, we have designed and programmed a simple PC math game that teaches rudimentary topics in mathematics
Graphical analysis of captured network packets for detection of suspicious network nodes
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