Automotive Security Analyzer for Exploitability Risks

Name: Automotive Security Analyzer for Exploitability Risks
Brand: Springer, Berlin
SKU: 9783658435059
Price: 2514 CZK
Availability: InStock

An Automated and Attack Graph-Based Evaluation of On-Board Networks

Autor: Martin Salfer

Jazyk:

Vazba: Brožovaná

Vydavatel: Springer, Berlin

Dostupnost: Skladem u dodavatele

Odesíláme za 5-8 dnů

2 514 Kč

Our lives depend on automotive cybersecurity, protecting us inside and near vehicles. If vehicles go...

Informace o knize

Autor

Martin Salfer

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2024

Stránek

272

EAN

9783658435059

Enbook ID

44429570

Vydavatel

Springer, Berlin

Hmotnost

356

Rozměry

148 x 210

Kompletní popis

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.

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Automotive Security Analyzer for Exploitability Risks

An Automated and Attack Graph-Based Evaluation of On-Board Networks

Informace o knize

Kompletní popis

Mohlo by vás zajímat

Zákaznicí kteří koupili tuto knihu koupili také