Paradigms of Worm Defense & Thoughts from an Ivory Tower

Channel:
Microsoft Research
Subscribers:
349,000
Published on ● Video Link: https://www.youtube.com/watch?v=KQxHZv5Nqlk


Duration: 1:35:28
18 views
0

This is two presentations concatenated together: Paradigms of Worm Defense: A viable worm defense will be composed of multiple components: Automatic detection, analysis and response, prevention, tolerance, recovery, and attribution. But what are the requirements of these components? Where do they need to be placed? This talk will discuss many of the ideas needed to build such defenses, including automated OODA loops and response timescales, the distinction between containment and blocking, where different classes of defenses need to be placed, and some proposed defenses and how they integrate into this framework. Thoughts from an Ivory Tower: Microsoft Windows and related software is now critical infrastructure, which is critically vulnerable to well constructed malcode. This represents my personal opinions, as an ivory tower academic, on what Microsoft can do to help mitigate the threat from worms. A variety of suggestions and ideas are discussed, from leveraging the recently acquired antivirus software for an antiworm role, a Safe



Other Videos By Microsoft Research


2016-09-05Science Friction: Where the Known Meets the Unknown
2016-09-05Concave utility functions on finite sets
2016-09-05Exploring Mars by 4-Wheel Drive
2016-09-05Computing with Selfish Agents [1/2]
2016-09-05Opportunities and Challenges in End-to-End Verification of Software Systems
2016-09-05Tools and Techniques for Prototyping Future Interactions [1/2]
2016-09-05Mathematical Sketching: A New Approach for Creating and Exploring Dynamic Illustrations
2016-09-05A learning-based approach to summarization
2016-09-05Virtual machines: the ultimate tool for computer forensics
2016-09-05Headwinds and Tailwinds:  Where is the U.S. economy going?
2016-09-05Paradigms of Worm Defense & Thoughts from an Ivory Tower
2016-09-05Machine Learning Methods for Discovery of Regulatory Elements in Bacteria
2016-09-05Eyes on Multimodal Interaction
2016-09-05From Promoter to Expression ΓÇô A Probabilistic Framework for Inferring Regulatory Mechanisms
2016-09-05Automated Reconstruction of 3D City Models from Laser Scans and Camera Images
2016-09-05Bergman complexes, Coxeter arrangements, and graph associahedra
2016-09-05Biomal Human Emotion Recognition and Peer Steaming Projects at  Ryerson Multimedia Research Lab
2016-09-05Interfaces for Staying in the Flow         [1/3]
2016-09-05Place Lab: Device Positioning Using Radio Beacons in the Wild
2016-09-05Cost-sharing mechanisms for Network Design
2016-09-05Market-Based Programming Paradigms for Sensor Networks


Tags:
microsoft research