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32 results for “Threat Detection”
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Research ArticleOpen accessPhrase in the titleOptimized Feature Reduction Techniques for Enhanced Network Threat Detection in Wireless Sensor NetworksBikash Kalita, Satyajit SarmahThe security of Wireless Sensor Networks (WSNs) is currently seriously threatened by numerous threats. Consequently, a number of applications are offered to regulate data and information sharing along with the related security features that need to be maintained throughout data transfer. This study suggests an intelligent feature reduction methodology based on machine learning that uses Modified Principal Component Analysis (MPCA) … …Journal of Computer Science, Vol. 21, Issue 8 · 10 Oct 2025 · 2,290 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleComparative Study of BERT Based Architectures for Multi Task News Classification and Threat DetectionA. Mustain Billah, Sani M IsaWe present a comparative analysis of single-task and multi-task BERT-based models for Indonesian news classification across two objectives: category prediction (five classes) and threat detection (binary). Using 8,951 annotated news titles, single-task baselines achieved weighted F1 scores of 0.84±0.01 (category) and 0.87±0.00 (threat). Multi-task hybrids integrating CNN, LSTM, and Bi-LSTM layers performed comparably overall and improved minority class threat detection, … …Journal of Computer Science, Vol. 22, Issue 3 · 25 Mar 2026 · 1,124 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAdaptive Cybersecurity: Dynamically Retrainable Firewalls for Real-Time Network ProtectionSina AhmadiThe growing complexity of cyberattacks has necessitated the evolution of firewall technologies from static models to adaptive, machine learning-driven systems. This research introduces “Dynamically Retrainable Firewalls”, which respond to emerging threats in real-time. Unlike traditional firewalls that rely on static rules to inspect traffic, these advanced systems leverage machine learning algorithms to analyze network traffic patterns dynamically and identify threats. … …Journal of Computer Science, Vol. 21, Issue 9 · 7 Nov 2025 · 2,558 accessesView PDFCite
Research ArticleOpen accessIn the abstractImplementation and Performance Evaluation of YOLOv8 for Wheat Fungal Disease DetectionShivani Sood, Shallu Duggal, Monika Sethi et al.Among the many difficulties in producing wheat, a vital food source for the world, there are biotic variables like fungal diseases, which drastically lower crop output. Around the world, biotrophic fungi particularly, leaf rust, powdery mildew, and yellow rusts-have become a constant threat to wheat production. Traditional methods of identification and mitigation are labor-intensive, slow, and imprecise, limiting therefore early … …Journal of Computer Science, Vol. 22, Issue 4 · 2 May 2026 · 1,599 accessesView PDFCite
Research ArticleOpen accessIn the abstractCo-infestation of Honey Bee Colonies with Tropilaelaps mercedesae and Varroa destructor in the Republic of KazakhstanUlzhan Nuraliyeva, Gaukhar Moldakhmetova, Oleg Krupskiy et al.Beekeeping is a well-developed industry in the Republic of Kazakhstan; however, significant winter colony losses necessitate the annual import of thousands of honey bee package colonies from neighboring southern countries. The recent detection of the invasive mite Tropilaelaps mercedesae in several of these source countries poses a serious biosecurity threat to Kazakhstani apiculture. This study aimed to identify potentially infested … …American Journal of Animal and Veterinary Sciences, Vol. 21, Issue 1 · 11 Apr 2026 · 1,850 accessesView PDFCite
Research ArticleOpen accessIn the abstractPotentiometric Biosensor for Highly Toxic Pb (lead) and Cd (cadmium) Detection in Milk Using Layer-by-Layer ImmobilizationZhainagul Kakimova, Klara Zharykbasova, Aitbek Kakimov et al.Milk contamination with heavy metals such as lead (Pb) and Cadmium (Cd) poses a serious threat to public health, particularly in industrial regions. To address the need for rapid and on-site detection of these contaminants, a potentiometric biosensor was developed for the quantification of Pb²⁺ and Cd²⁺ ions in milk and dairy products. The biosensor functions by measuring the change … …OnLine Journal of Biological Sciences, Vol. 25, Issue 4 · 8 Feb 2026 · 1,480 accessesView PDFCite
Review ArticleOpen accessIn the abstractCarbapenem-Resistant Enterobacteriaceae in Korean Elderly Nursing Hospitals in 2023: Prevalence, Mortality, and Resistance PatternsLee Hye Seong, Jang Sung Hun, Kim Jae KyungInfections caused by Carbapenem-Resistant Enterobacteriaceae (CRE) represent a critical threat in healthcare settings owing to limited therapeutic options and high associated mortality. However, the epidemiological patterns and dynamics of CRE transmission in geriatric care hospitals remain poorly characterized. We elucidated the monthly incidence, bacterial species distribution, resistance genotypes, and patient demographics of CRE infections among inpatients at a senior care … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 4 · 30 Jan 2026 · 2,101 accessesView PDFCite
Research ArticleOpen accessIn the abstractImplementing a Hybrid Parallel Framework Utilizing Machine and Deep Learning for Rapid Rumor Detection in Social MediaNeetu Rani, Amit Kumar Bhardwaj, Shaily Jain et al.Numerous businesses have faced significant repercussions due to the widespread dissemination of false information and rumors across social media platforms. The impact of fake news extends to tarnishing public perception, damaging corporate reputations, disrupting communities, undermining governmental integrity, exposing companies to risks, and posing a grave threat to social cohesion. This research article delves into the endeavours of prominent researchers … …Journal of Computer Science, Vol. 21, Issue 12 · 27 Jan 2026 · 1,814 accessesView PDFCite
Research ArticleOpen accessIn the abstractInternet of Things and Human Neocortex Inspired Algorithms for the Plant Disease Prediction-Sheath Blight for Paddy PlantThangaraj Ethilu, K. Parthiban, Arockia Jayadhas S et al.Sheath blight disease (Rhizoctonia solani) poses a critical threat to paddy (Oryza sativa) production, causing up to 50% yield losses under conducive environmental conditions. Existing computer vision-based disease detection systems identify infections only after symptom manifestation, while conventional machine learning prediction models suffer from high computational demands, data preprocessing requirements, and noise sensitivity. This research proposes a novel Hierarchical Temporal … …Journal of Computer Science, Vol. 21, Issue 11 · 18 Dec 2025 · 1,772 accessesView PDFCite
Research ArticleOpen accessIn the abstractHacking Back: Using Genetic Algorithms to Outsmart HackersGhosoun Al Hindi, Mohammad Alshraideh et al.Web applications are widely used in today's digital landscape, necessitating robust security measures to protect against unauthorized access by malicious users. Ensuring the security of these applications requires effectively identifying and addressing vulnerabilities. This paper proposes an automated methodology for vulnerability detection, utilizing a genetic algorithm to generate test cases, which offers greater efficiency and performance compared to resource-intensive and … …Journal of Computer Science, Vol. 21, Issue 9 · 10 Oct 2025 · 2,600 accessesView PDFCite