Predictive Threat Path GNN System for lateral movement forecasting

@sajjadtaghvaeifr

Hello, I trust you're doing well. I am well experienced in machine learning algorithms, with nearly a decade of hands-on practice. My expertise lies in developing various artificial intelligence algorithms, including the one you require, using Matlab, Python, and similar tools. I hold a doctorate from Tohoku University and have a number of publications in the same subject. My portfolio, which showcases my past work, is available for your review. Your project piqued my interest, and I would be delighted to be part of it. Let's connect to discuss in detail. Warm regards. please check my portfolio link: https://www.freelancer.com/u/sajjadtaghvaeifr

@amirrmusavifr

Hi, I'm an experienced Python developer with the necessary skills to complete your project. I have skill sets: • Proficient Python developer with a strong background in Classification, Regression, and Clustering tasks. • Proficiency in AI/ML, particularly in algorithms Support Vector Machine, Random Forest, Decision Tree, K-means, XGBoost, etc. • Strong understanding of demographic data interpretation. • Strong programming skills, preferably in Python and relevant libraries like Pytorch, TensorFlow, scikit-learn, NumPy, Pandas, NLTK, spaCy, etc. • Ability to deliver clear and understandable model predictions. My track record of success with similar projects is proof that I can deliver results quickly and accurately. If you're interested in hearing more about how I could help you, please don't hesitate to reach out! I can provide the requirements with minimum time and cost.

@saba106

I am an expert statistician, Research Writer, and data analyst with more than eight years of experience. I have full command of Excel analysis, SPSS, STATA, R LANGUAGE, AND PYTHON. I am an expert in creating time series prediction models, working with survey data, conducting marketing analysis, building estimators, and medical analysis. I am a perfect match for your project share other details of the work so I can start working on your project. Will complete task on time.

@Shrutibimpl

Hello, I have reviewed your project for a cybersecurity prototype to predict attack paths using network logs. This is a great application of GNNs and sequential models, which is well within my area of expertise. I can build the complete pipeline: from parsing the logs into a graph structure, training the GNN-RNN/Transformer model, and generating the ranked predictions in a clean JSON format. I will also provide the short report and the Docker setup to ensure you can run and present it easily for your major project. QUERIES 1) What format are the sample network logs in (e.g., raw text, CSV, JSON)? 2) Do you have a preference for the deep learning libraries, such as PyTorch Geometric for the GNN and TensorFlow/PyTorch for the RNN/Transformer? 3) What are the key features in the logs that should define the nodes and edges? Are we primarily looking at source/destination IPs and timestamps? 4) Do you want me to deliver you the code or I have to set it up on your system too? Thanks, Bharat

@GuillaumeQ1

Hello, I’m a Lead Data Scientist & Google-certified ML Engineer with hands-on experience applying graph learning + sequential models in fraud detection systems (millions of events/day). For your cybersecurity prototype, I’ll deliver a clear, modular solution that you can easily run and extend. ? Best practices – Clean, modular Python repo with clear folder structure, PEP8-compliant code, docstrings, and a concise README (setup, usage, extension). ? Solution – Parse authentication logs → build a graph (hosts/users as nodes, edges as connections). Use a Graph Neural Network (GraphSAGE or GAT) to learn node embeddings, then feed sequences of embeddings into an RNN (GRU/LSTM) or Transformer for top-k next-hop prediction. ? Output – JSON with ranked list of predicted next attack paths (top-3/top-5), ready to plug into a visualization tool. ? Deployment – Full Docker Compose setup (training + inference services) for one-command reproducibility. ? Documentation – A short, professional 4–5 page report covering design choices, methodology, metrics (top-k accuracy, confusion analysis), and example outputs. This way, you’ll get a fully working prototype that is academically solid, easy to demonstrate, and built with professional coding standards. Best regards, Guillaume

@danishkhan51572

I am Danish, a Software & AI Developer with 4+ years of experience in building scalable solutions across mobile applications, AI-powered systems, automation workflows, websites, and e-commerce platforms. My focus is on creating user-friendly, efficient, and future-ready products tailored to client needs. Core Expertise: Mobile Apps: Cross-platform (Flutter / React Native) and Native Android/iOS with smooth UI/UX, payment integration, chat, push notifications, and more. AI & Automation: Development of AI agents, intelligent chatbots, and process automation systems to streamline operations and improve decision-making. Web & E-Commerce: Responsive websites, dashboards, and portals with secure backend integrations, plus Shopify store development for strong online presence. I ensure clean, maintainable code, reliable performance, and long-term scalability. My goal is to deliver solutions that not only meet requirements but also enable clients to scale, innovate, and stay competitive. Best regards, Danish

@divanOos

⚠️I earn your trust through results, not promises⚠️ I think we are the perfect fit for your project. I understand the need for a clean, professional, and user-friendly prototype in cybersecurity. Our expertise lies in converting data into graphical representations, utilizing Graph Neural Networks, and integrating RNN or Transformer models for predictive analysis. My focus is on providing high-quality work, clear communication, and tailored solutions. I am confident that once you see the value I bring, you'll know you made the right choice. Let’s get started — your success is my priority. Regards, Divan

@dylanc88

"Your idea is perfect for my expertise! I understand the importance of a clean, professional, and user-friendly prototype for your college project in cybersecurity. I specialize in creating seamless, integrated solutions using Graph Neural Networks and RNN models. While I am new to freelancer.com, I have tons of experience and have done other projects off-site. I would love to chat more about your project! Regards, Dylan"

@Jivansh0

I can build your college-level cybersecurity prototype: convert auth/network logs into graph form (hosts/users nodes, edges for connections), train a GNN to produce node/edge embeddings, feed those into an RNN/Transformer to output top-k next-hop attack predictions, and deliver a ranked JSON output plus a simple visualization-ready format. Deliverables: working code with README, Dockerfile for easy runs, and a 4–5 page report explaining design and results; I’ll use PyTorch Geometric for GNNs, PyTorch (or HuggingFace) for sequence models, NetworkX for graph ops, and provide example notebooks. Estimated timeline: 2–3 weeks;

@anikav1

Let’s be real, half the proposals here read like they were copied straight from ChatGPT with no actual plan or competency to deliver. You don’t need flashy proposal. You need a working prototype you can show in college ie simple, clean, on time. I specialize in AI & cybersecurity prototypes that combine graph-based analysis with deep learning. For this project, I’ll take your sample logs, transform them into a graph structure, learn patterns through a GNN, and then use a sequential model to predict the most likely attack paths — with a ranked JSON output ready for visualization. And here’s the difference: I know how brutal college deadlines can be, believe me! That’s why I’ll work on this dedicatedly and with focus, delivering a polished prototype in just 4 days.