Data Skeptic

Detecting Ransomware

Aug 16, 2021

31:23

Creator website

Highlights

AI Chapters

Episode notes

How to Protect Against Zero Day Attacks?

02:34

How to Train a Machine Learning Algorithm?

02:04

Is Hardware Aided Run Time a Good Solution for This Problem?

02:13

Introduction

2min

Machine Learning Based a Secure Physical Design Solutions for Side Channel Attacks

3min

Is Hardware Aided Run Time a Good Solution for This Problem?

2min

How to Protect Against Zero Day Attacks?

3min

Machine Learning

2min

Oval Edge Data Cataloguing Solution

3min

How to Train a Machine Learning Algorithm?

2min

The Micro Architecture of the Performance Monitoring Unit

3min

Is There a Time Series of Ransomware in Machine Learning?

2min

10.

Linked in Jobs - Get to the Candidates Worth Interviewing Faster

3min

11.

Using the Elesteum Base Model for Malware Detection

2min

12.

Is Machine Learning a Black Box?

2min

13.

Is There a Future for Machine Lending?

4min

Nitin Pundir, PhD candidate at University Florida and works at the Florida Institute for Cybersecurity Research, comes on today to talk about his work “RanStop: A Hardware-assisted Runtime Crypto-Ransomware Detection Technique.”

FICS Research Lab - https://fics.institute.ufl.edu/

LinkedIn - https://www.linkedin.com/in/nitin-pundir470/

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Data Skeptic

Detecting Ransomware

How to Protect Against Zero Day Attacks?

How to Train a Machine Learning Algorithm?

Is Hardware Aided Run Time a Good Solution for This Problem?

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Save anymoment

Share& Export

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