The DAC-Lab

We are the DAC-Lab, we do research and self lead training on all practices of IT.

However, we currently specialize in DATA Science, AI and CYBER Security.

DAC LAB logo

Our projects

Here are some of our current and past projects.

  • Spam and Phishing Detection using NLP
  • Spam and Phishing Detection using Large Language Models
  • LLM Fine Tuning for Phishing Detection
  • Bias Detection in Machine Learning
  • LLM for Text Analysis and Summarization
  • Counterfeit Currency Detection using Deep Learning
  • Facial Expression Analysis for Deep Fake Detection
  • Reddit and LSTM for Stock Price Prediction
  • Generative AI for Real-Time Content Generation
  • Evaluating Performance of Containerized Webservers against Web Servers on Virtual Machines uisng Bombardment and Siege
  • Node.js or PhP? Determining the better website server backend scripting language
  • Effective Credit Risk Management in Finance using Hadoop and Spark Technologies
  • Facial Expression Analysis: Detecting SPAM and Phishing Emails
  • Network Intrusion Detection system with Machine learning as a service
  • Securing Web Services(REST APIs) against Software Vulnerabilities using the AEP Approach
  • BIG DATA APPROACH FOR IOT BOTNET TRAFFIC DETECTION USING APACHE SPARK TECHNOLOGY
  • JavaScript Frameworks – A Comparative Study between React.js and Angular.
  • Comparative Analysis of Vulnerability Scanners for Effective Vulnerability Management
  • Anomalies, and Intrusion Detection Using Snort
  • Performance Analysis of Machine Learning Algorithms in Cloud Platforms: AWS vs Azure vs GCP
  • A Big Data Approach to Earthquake Magnitude Prediction
  • Implementing Machine Learning Techniques for Predicting Employee Attrition
  • Evaluating performance of Containerized web servers against web servers on Virtual Machines using Bombardment and Siege
  • User perceptions of front end design framework
  • Cloud based machine learning on the big 3 providers
  • Text Analytics of Security Subreddits
  • Network & System Logs Monitory Enhancements With Security Onion
  • Sentiment Based LSTM for Stock Price Prediction: Congress vs General Public
  • Early-Stage Diabetes Prediction using Apache Spark and Spark MLlib
  • The Wonders of Ransomware in Cyber Security
  • Cyber Rec: The Recommender System for Cyber Security
  • Food Traceability System Based on Hyperledger Fabric Blockchain
  • Utilizing Keras, Pytorch, and MXnet for Building CNN Binary Classification and Finding their Discrepancy in Performance
  • Auto-ML Tools and Process on Google, Azure and IBM Cloud Platforms
  • Intrusion detection system using Apache Spark on Hadoop Big Data enviroment
  • Text Prediction Using Artificial Intelligence
  • Replicating a Cryptolocker Ransomware Attack
  • Enterprise Network Defense: BotNet Detection and Reporting
  • Obesity Classifier using Apache Hadoop with Mahout
  • MEAN vs LAMP Stack: Future or Web Development
  • BotNet Communication Patterns Against Private Cloud
See Our Student Workers » About Dr. Hayden Wimmer »