LUPUS
TECHNOLOGY
CYBERSECURITY RESEARCH & AI DEFENSE
Advancing Cyber-Resilience: Specialized Research in Ransomware Mitigation, Intelligent Malware Detection, and Digital Forensic Research.
MSME REG: UDYAM-MP-31-0041732
Lead Researcher
Er. Avdhesh Ghuraiya
Lead Researcher
PhD Candidate
Moscow Institute of Physics and Technology (National Research University)
Moscow, Russian Federation
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M.S. in Cybersecurity (Gold Medallist | Red Diploma)
Moscow Institute of Physics and Technology (National Research University)
Moscow, Russian Federation
B.Tech in Computer Science and Engineering
Amity University Madhya Pradesh
Gwalior, India
Researcher Identifiers
ORCID
0000-0002-3638-3467 ↗
Scopus
59664939200
ResearcherID
PHK-0544-2026
Google Scholar
View Profile ↗
Peer-Reviewed Publications
Final Draft
Deep Learning Models Under Weak Social Signals
Exploring the efficacy of neural architectures in identifying patterns within sparse or low-confidence social data streams.
In-Review
Ensemble models for social media security incident detection
This study investigates how two simple machine learning models, Support Vector Machines (SVM) and Multilayer Perceptrons (MLP), perform at detecting suspicious accounts on social media.
In-Publishing
Comparative Bot Detection Random Forest versus XGBoost in Social Networks
This study investigates the detection of automated accounts (bots) on social networks by comparing the behavior and performance of Random Forest and XGBoost classifiers under realistic, minimally tuned conditions.
Conference Presentations
Published
IoT System architecture for a smart city
This report reviews the latest research on smart factories and industrial data management.
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.