Side channel attack Detection via Supervised Learning
Budget: $250 – $750 USD
I'm looking for a highly skilled machine learning expert to develop a solution that leverages supervised learning techniques to detect different types of side channel attacks . The solution should ideally be capable of adapting to various datasets.
Key Responsibilities:
- Development of detection model using supervised learning.
- The model should be designed to adapt and learn from different datasets.
- collecting data from Hardware level
Ideal Skills & Experience:
- Expertise in Machine Learning is mandatory, specifically in supervised learning techniques.
- A strong understanding of cybersecurity and side channel attacks is required.
- Familiarity with various datasets and hands-on experience in working with them.
- A strong understanding of Microarchitecture analysis (registers, Flags, Hardware and Software Events)
Key Responsibilities:
- Development of detection model using supervised learning.
- The model should be designed to adapt and learn from different datasets.
- collecting data from Hardware level
Ideal Skills & Experience:
- Expertise in Machine Learning is mandatory, specifically in supervised learning techniques.
- A strong understanding of cybersecurity and side channel attacks is required.
- Familiarity with various datasets and hands-on experience in working with them.
- A strong understanding of Microarchitecture analysis (registers, Flags, Hardware and Software Events)