LUPUS
TECHNOLOGY™
CYBERSECURITY RESEARCH & AI DEFENSE
Advancing Cyber-Resilience: Specialized Research in Ransomware Mitigation, Intelligent Malware Detection, and Digital Forensic Research.
Registered in MSME and District Industeries Office
Lead Researcher
Avdhesh Ghuraiya
Lead Researcher
Researcher
Moscow Institute of Physics and Technology (National Research University)
Moscow, Russian Federation
🏆
M.S. in Cybersecurity (Gold Medallist | Red Diploma)
Moscow Institute of Physics and Technology (National Research University)
Moscow, Russian Federation
Researcher Identifiers
ORCID
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Google Scholar
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Peer-Reviewed Publications
Final Draft
Title Hidden due to Privacy
The Investigation: Engineering resilient neural architectures capable of extracting high-fidelity security intelligence from "noisy" or sparse social metadata. This research identifies the threshold where deep learning maintains predictive accuracy despite degraded signal quality.
In-Review
Title Hidden due to Privacy
The Investigation: Developing a hybrid defensive layer by fusing Support Vector Machines (SVM) and Multi-Layer Perceptrons (MLP). The research focuses on the "Detection Gap"—identifying sophisticated account takeover signatures that single-classifier systems typically overlook.
Published
Comparative Bot Detection Random Forest versus XGBoost in Social Networks
The Investigation: A rigorous benchmarking of ensemble learning efficiency. We analyzed the trade-offs between computational latency and detection precision, specifically focusing on how gradient boosting handles adversarial perturbations in automated bot traffic.
Conference Presentations
Published
IoT System architecture for a smart city
The Investigation: Proposing a decentralized, multi-layered framework for urban Cyber-Physical Systems. This work investigates the integration of edge computing nodes to mitigate bottleneck risks in mission-critical smart city infrastructure.
Intellectual Property
UK Design Patent
Environment monitoring computer with sensors for collecting and processing data
Computational framework for high-integrity environmental sensing and real-time data ingestion.
Contact Laboratory
Global Research Inquiries
For collaboration proposals, data access requests, or editorial inquiries, please contact the relevant department below.
General Inquiry
info.lupustechnology@gmail.com
Research Related
research.lupustechnology@gmail.com
Manuscript Related
lupustechnology.research@gmail.com