Estimating Parameters of Target's Detection Methods

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14610%2F17%3A00099647" target="_blank" >RIV/00216224:14610/17:00099647 - isvavai.cz</a>

Result on the web

<a href="http://ceur-ws.org/Vol-2057/Paper12.pdf" target="_blank" >http://ceur-ws.org/Vol-2057/Paper12.pdf</a>

DOI - Digital Object Identifier

—

Result language

angličtina

Original language name

Estimating Parameters of Target's Detection Methods

Original language description

Dictionary attacks are a prevalent phenomenon, which was lately amplified with the onset of insecure SOHO and IoT devices. Some of these devices use their own protection against dictionary attacks and some offload their security to mechanisms deployed in the infrastructure, such as flow-based IPS systems. These mechanism often operate with the notion of a typical attacker, who represent common attacks against the infrastructure and lacks sophistication. However, the emergence of stealthy and distributed dictionary attacks indicate that detection mechanisms should take sophisticated attackers into account. In this paper we explore the capability of a sophisticated attacker, who can estimate parameters of detection methods deployed on target and can then craft an attack which could go undetected for arbitrary long time. For this, we propose a new model of attacker-target interaction during dictionary attacks, which is based on attacker's perspective. Using this model we then postulate and experimentally evaluate an algorithm for estimating parameters of target detection method, illustrating that an attacker requires only a handful of attack attempts to correctly guess these parameters.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2017

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of the NATO IST-152 Workshop on Intelligent Autonomous Agents for Cyber Defence and Resilience

ISBN

—

ISSN

1613-0073

e-ISSN

—

Number of pages

6

Pages from-to

84-89

Publisher name

CEUR Workshop Proceedings

Place of publication

Praha

Event location

Prague

Event date

Jan 1, 2017

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

—