Versandkostenfrei ab 29,00 €
Zur Startseite gehen
  • Alle
  • Bücher
  • Musik-CDs & Vinyl
  • DVD & Blu-ray
  • Sonstiges
Zur Startseite gehen
Merkzettel
Warenkorb

Automotive Security Analyzer for Exploitability Risks

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

Salfer, Martin
Englisch | Taschenbuch

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.

Mehr anzeigen

Sofort verfügbar, Lieferzeit: 1-3 Tage

Nur noch 1 Artikel verfügbar!

Artikelzustand

Weitere Infos zum Zustand

-35%
117,69 € (35.18% gespart)

76,29 €

Preise inkl. MwSt. zzgl. Versandkosten


14 Tage Zufriedenheitsgarantie
Risikofrei bestellen

Geprüfte Gebrauchtware
Einzeln geprüft

Produktinformationen "Automotive Security Analyzer for Exploitability Risks"

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.

Untertitel
An Automated and Attack Graph-Based Evaluation of On-Board Networks
H | B | T | Gramm
210 mm | 148 mm | 15 mm | 0.356 kg
Erscheinungsjahr
2024
Ausgabe
2024
FSK
0
Ausgabe
Taschenbuch
Verlag
Springer VS
ISBN-10
3658435054
Autor
Salfer, Martin
Sprache
Englisch
Seitenanzahl
272
Themen
Eingebettete Systeme, Eingebettete Systeme, Fahrzeugbau
Verantwortliche Person gemäß Art. 16 GPSR
Springer Nature Customer Service Center GmbH, Europaplatz 3, 69115, Heidelberg, DE, ProductSafety@springernature.com

0 von 0 Bewertungen

Bewerten Sie dieses Produkt!

Teilen Sie Ihre Erfahrungen mit anderen Kunden.

Salfer, Martin

Autor/in

Salfer, Martin

Dr. Martin Salfer is an IT security researcher at TUM and a tech lead at an automaker. He earned his Ph.D. in IT Security from TUM, completed his M.Sc. with honours in Software Engineering at UniA/LMU/TUM, and obtained his B.Sc. in Computer Science from HM, with a study abroad at KPU in Vancouver, Canada, and ESIEA in Paris, France, and a research visit at NII in Tokyo, Japan. He is the lead author of 28 publications, including five IT security patents.

Weitere Bücher von Salfer, Martin:

Weitere Bücher von Salfer, Martin

%
Automotive Security Analyzer for Exploitability Risks
Automotive Security Analyzer for Exploitability Risks
Salfer, Martin
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.

Buch | Englisch

74,07 € 117,69 € (37.06% gespart)
Zum Artikel

Wusstest du, dass...

ein wiederverkauftes Buch rund 2,7 kg CO₂ einspart – das entspricht einer 14 km langen Autofahrt?

Erfahre mehr zum Thema Nachhaltigkeit bei Buchpark

Versandkostenfrei ab 29 €

14 Tage Rückgaberecht - Kein Risiko

Geprüfte Gebrauchtware

Filter werden angewendet...
Diese Website verwendet Cookies, um eine bestmögliche Erfahrung bieten zu können. Mehr Informationen ...