Automotive Security Analyzer for Exploitability Risks: An Automated and Attack Graph-Based Evaluation of On-Board Networks - Martin Salfer
-35% koodilla BOOKS
Toimitus 12-18 arkipäivässä
30 päivän palautusoikeus
Our lives depend on automotive cybersecurity, protecting us inside and near vehicles. If vehicles go rogue, they can operate against the driver¿s will and potentially drive off a cliff or into a crowd. The ¿Automotive Security Analyzer for Exploitability Risks¿ (AutoSAlfER) evaluates the exploitability risks of automotive on-board networks by attack graphs. AutoSAlfER¿s Multi-Path Attack Graph algorithm is ... Täydellinen kuvaus
Saatat myös pitää
TOP
INCOSE Systems Engineering Handbook
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
If Anyone Builds It, Everyone Dies: The Case Against Superintelligent AI
Eliezer Yudkowsky, Nate Soares
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
Open Circuits: The Inner Beauty of Electronic Components
Eric Schlaepfer, Windell Oskay
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
Get started with MicroPython on Raspberry Pi Pico: The Official Raspberry Pi Pico Guide
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
We Are Not Machines: The Fight for the Future of Work
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
Foundations of Flavor: The Noma Guide to Fermentation: Including Step-By-Step Information on Making and Cooking with: Koji, Kombuchas, Shoyus, Misos, Vinegars, Garums, Lacto-Ferments and black Fruits Vegetables
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
Nucleo Boards Programming with the STM32CubeIDE: Hands-on in more than 50 projects
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control
Steven L. Brunton, J. Nathan Kutz
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
Black Holes: The Key to Understanding the Universe
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
Practical Electronics for Inventors
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
Flowers For Algernon: A Modern Literary Classic
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
Human Compatible: Artificial Intelligence and the Problem of Control
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
How To Read Water: Clues & Patterns from Puddles to the Sea
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
Make: Electronics: Learning by Discovery: A hands-on primer for the new electronics enthusiast
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
Mastering the Arduino Uno R4: Programming and Projects for the Minima and WiFi
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
The Idea Factory: Bell Labs and the Great Age of American Innovation
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
Fundamentals of Aerodynamics ISE
Christopher Cadou, John D. Anderson
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
Foundation Design and Construction
-35% koodilla BOOKS
Toimittajalla varastossa
Kuvaus
Our lives depend on automotive cybersecurity, protecting us inside and near vehicles. If vehicles go rogue, they can operate against the driver¿s will and potentially drive off a cliff or into a crowd. The ¿Automotive Security Analyzer for Exploitability Risks¿ (AutoSAlfER) evaluates the exploitability risks of automotive on-board networks by attack graphs. AutoSAlfER¿s Multi-Path Attack Graph algorithm is 40 to 200 times smaller in RAM and 200 to 5 000 times faster than a comparable implementation using Bayesian networks, and the Single-Path Attack Graph algorithm constructs the most reasonable attack path per asset with a computational, asymptotic complexity of only O(n * log(n)), instead of O(n²). AutoSAlfER runs on a self-written graph database, heuristics, pruning, and homogenized Gaussian distributions and boosts people¿s productivity for a more sustainable and secure automotive on-board network. Ultimately, we enjoy more safety and security in and around autonomous, connected, electrified, and shared vehicles.
Lisätietoja
| Kirjoittaja | Martin Salfer |
|---|---|
| Julkaisija | Springer Fachmedien Wiesbaden |
| Julkaisuvuosi | 2024 |
| Kannen tyyppi | Pehmeäkantinen |
| EAN | 9783658435059 |