What Is Network Security? | Introduction To Network Security | Network Security Tutorial|Simplilearn
In this video on What is Network Security, we will give you a small introduction to network security and cover its working and types. We also take a look at the transport and application layer security protocols, and end the tutorial by learning about some key tools and benefits of network
From playlist Networking
This lecture gives an overview of neural networks, which play an important role in machine learning today. Book website: http://databookuw.com/ Steve Brunton's website: eigensteve.com
From playlist Intro to Data Science
Transport Layer Security: Part 1
Fundamental concepts of TLS are discussed. SSL is analyzed. HTTPS & SSH are presented.
From playlist Network Security
Transport Layer Security: Part 2 - TLS & HTTPS
Fundamental concepts of TLS are discussed. SSL is analyzed. HTTPS & SSH are presented.
From playlist Network Security
Network Security, Part 1 : Basic Encryption Techniques
Fundamental concepts of network security are discussed. It provides a good overview of secret Key and public key Encryption. Important data encryption standards are presented.
From playlist Network Security
Transport Layer In Computer Network | OSI Model | Transport Layer | Computer Networks | Simplilearn
Transport Layer In OSI Model by simplilearn is a Computer networking-oriented tutorial that explains the fundamentals of the Transport Layer in Computer networks. The transport layer handles the error detection and verification of the data shared by the upper layers of the OSI model for be
From playlist Networking
The Problem of Traffic: A Mathematical Modeling Journey
How can we mathematically model traffic? Specifically we will study the problem of a single lane of cars and the perturbation from equilibrium that occurs when one car brakes, and that braking effect travels down the line of cars, amplifying as it goes along, due to the delayed reaction ti
From playlist Cool Math Series
Network Analysis. Lecture 18. Link prediction.
Link prediction problem. Proximity measures. Scoring algorithms. Prediction by supervised learning. Performance evaluation. Lecture slides: http://www.leonidzhukov.net/hse/2015/networks/lectures/lecture18.pdf
From playlist Structural Analysis and Visualization of Networks.
Cathy Wu: "Mixed Autonomy Traffic: A Reinforcement Learning Perspective"
Mathematical Challenges and Opportunities for Autonomous Vehicles 2020 Workshop II: Safe Operation of Connected and Autonomous Vehicle Fleets "Mixed Autonomy Traffic: A Reinforcement Learning Perspective" Cathy Wu - Microsoft Research AI, MIT Abstract: How might self-driving cars change
From playlist Mathematical Challenges and Opportunities for Autonomous Vehicles 2020
Optimising flow within mobility systems with AI: Neil Walton and Damon Wischik
This workshop is held in collaboration with the Toyota Mobility Foundation, who are sponsoring the Turing’s research into Optimising flow within mobility systems with AI. It forms part of the Turing’s research programme on AI. The workshop is aimed at identifying solutions for future urb
From playlist AI for traffic control
Simona Sacone: "Hybrid micro-macro modelling for platoon control in freeway traffic networks"
Mathematical Challenges and Opportunities for Autonomous Vehicles 2020 Workshop III: Large Scale Autonomy: Connectivity and Mobility Networks "Hybrid micro-macro modelling for platoon control in freeway traffic networks" Simona Sacone - Università di Genova Abstract: The definition of a
From playlist Mathematical Challenges and Opportunities for Autonomous Vehicles 2020
At the Vision in Science Conference 2013 in Dresden Dirk Helbing from the ETH Zurich compares our modern world with the world's greatest civilisations. By using traffic as an example, he talks about the predictability of human decisions. He shows how communication and information systems c
From playlist Most popular videos
Saif Jabari: "Decentralized Network Control Using Continuum Traffic Models"
Mathematical Challenges and Opportunities for Autonomous Vehicles 2020 Workshop III: Large Scale Autonomy: Connectivity and Mobility Networks "Decentralized Network Control Using Continuum Traffic Models" Saif Jabari - New York University Abu Dhabi Abstract: The control of signalized int
From playlist Mathematical Challenges and Opportunities for Autonomous Vehicles 2020
23C3: Vehicular Communication and VANETs
Speaker: Frank Kargl The future and security of communicating vehicles Vehicle communication is a major research topic, covered by many national and international research projects. Applications promise to make our driving safer, more efficient, and more fun. The talk presents applicat
From playlist 23C3: Who can you trust
Introduction to NetLogo by Bill Rand
Program Summer Research Program on Dynamics of Complex Systems ORGANIZERS: Amit Apte, Soumitro Banerjee, Pranay Goel, Partha Guha, Neelima Gupte, Govindan Rangarajan and Somdatta Sinha DATE : 15 May 2019 to 12 July 2019 VENUE : Madhava hall for Summer School & Ramanujan hall f
From playlist Summer Research Program On Dynamics Of Complex Systems 2019
Understanding Discrete Event Simulation, Part 5: Communication Modeling
Watch more MATLAB Tech Talks: https://goo.gl/ktpVB7 Free MATLAB Trial: https://goo.gl/yXuXnS Request a Quote: https://goo.gl/wNKDSg Contact Us: https://goo.gl/RjJAkE Learn the basics of using discrete-event simulation to evaluate the performance of digital communication systems in this MA
From playlist Understanding Discrete-Event Simulation - MATLAB Tech Talks
DEFCON 19: Metasploit vSploit Modules
Speakers: Marcus J. Carey Enterprise Security Community Manager, Rapid7 | David Rude AKA bannedit, @msfbannedit, Metasploit Exploit Developer | Will Vandevanter Senior Penetration Tester, Rapid7 This talk is for security practitioners who are responsible for and need to test enterprise
From playlist DEFCON 19
Dirk Helbing: "Towards Digital Democracies & Societal Resilience: Upgrading Smart Cities with Co..."
Mathematical Challenges and Opportunities for Autonomous Vehicles 2020 Workshop IV: Social Dynamics beyond Vehicle Autonomy "Towards Digital Democracies and Societal Resilience: Upgrading Smart Cities with Collective Intelligence, and More" Dirk Helbing - ETH Zurich Abstract: Given the o
From playlist Mathematical Challenges and Opportunities for Autonomous Vehicles 2020
