Survey of Attack Projection, Prediction, and Forecasting in
Cyber Security

J 2019

Survey of Attack Projection, Prediction, and Forecasting in Cyber Security

HUSÁK, Martin, Jana KOMÁRKOVÁ, Elias BOU-HARB a Pavel ČELEDA

Základní údaje

Originální název

Survey of Attack Projection, Prediction, and Forecasting in Cyber Security

Autoři

HUSÁK, Martin (203 Česká republika, garant, domácí), Jana KOMÁRKOVÁ (203 Česká republika, domácí), Elias BOU-HARB a Pavel ČELEDA (203 Česká republika, domácí)

Vydání

IEEE Communications Surveys & Tutorials, IEEE, 2019, 1553-877X

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

10200 1.2 Computer and information sciences

Stát vydavatele

Spojené státy

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Impakt faktor

Impact factor: 23.700

Kód RIV

RIV/00216224:14610/19:00108866

Organizační jednotka

Ústav výpočetní techniky

DOI

http://dx.doi.org/10.1109/COMST.2018.2871866

UT WoS

000459730200024

Klíčová slova anglicky

cyber security;intrusion detection;situational awareness;prediction;forecasting;model checking

Štítky

J-D1, rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 20. 3. 2019 12:27, RNDr. Martin Husák, Ph.D.

Anotace

V originále

This paper provides a survey of prediction, and forecasting methods used in cyber security. Four main tasks are discussed first, attack projection and intention recognition, in which there is a need to predict the next move or the intentions of the attacker, intrusion prediction, in which there is a need to predict upcoming cyber attacks, and network security situation forecasting, in which we project cybersecurity situation in the whole network. Methods and approaches for addressing these tasks often share the theoretical background and are often complementary. In this survey, both methods based on discrete models, such as attack graphs, Bayesian networks, and Markov models, and continuous models, such as time series and grey models, are surveyed, compared, and contrasted. We further discuss machine learning and data mining approaches, that have gained a lot of attention recently and appears promising for such a constantly changing environment, which is cyber security. The survey also focuses on the practical usability of the methods and problems related to their evaluation.

Návaznosti

EF16_019/0000822, projekt VaV

Název: Centrum excelence pro kyberkriminalitu, kyberbezpečnost a ochranu kritických informačních infrastruktur

Přiložené soubory

2019-COMST-survey-of-attack-projection-prediction-forecasting.pdf

Vyhledat podobné dokumenty

Citovat

HUSÁK, Martin, Jana KOMÁRKOVÁ, Elias BOU-HARB a Pavel ČELEDA. Survey of Attack Projection, Prediction, and Forecasting in Cyber Security. IEEE Communications Surveys & Tutorials. IEEE, 2019, roč. 21, č. 1, s. 640-660. ISSN 1553-877X. Dostupné z: https://dx.doi.org/10.1109/COMST.2018.2871866.

@article{1434138,
   author = {Husák, Martin and Komárková, Jana and BouandHarb, Elias and Čeleda, Pavel},
   article_number = {1},
   doi = {http://dx.doi.org/10.1109/COMST.2018.2871866},
   keywords = {cyber security;intrusion detection;situational awareness;prediction;forecasting;model checking},
   language = {eng},
   issn = {1553-877X},
   journal = {IEEE Communications Surveys & Tutorials},
   title = {Survey of Attack Projection, Prediction, and Forecasting in Cyber Security},
   url = {https://ieeexplore.ieee.org/document/8470942/},
   volume = {21},
   year = {2019}
}

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ID  - 1434138
AU  - Husák, Martin - Komárková, Jana - Bou-Harb, Elias - Čeleda, Pavel
PY  - 2019
TI  - Survey of Attack Projection, Prediction, and Forecasting in Cyber Security
JF  - IEEE Communications Surveys & Tutorials
VL  - 21
IS  - 1
SP  - 640-660
EP  - 640-660
PB  - IEEE
SN  - 1553877X
KW  - cyber security;intrusion detection;situational awareness;prediction;forecasting;model checking
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N2  - This paper provides a survey of prediction, and forecasting methods used in cyber security. Four main tasks are discussed first, attack projection and intention recognition, in which there is a need to predict the next move or the intentions of the attacker, intrusion prediction, in which there is a need to predict upcoming cyber attacks, and network security situation forecasting, in which we project cybersecurity situation in the whole network. Methods and approaches for addressing these tasks often share the theoretical background and are often complementary. In this survey, both methods based on discrete models, such as attack graphs, Bayesian networks, and Markov models, and continuous models, such as time series and grey models, are surveyed, compared, and contrasted. We further discuss machine learning and data mining approaches, that have gained a lot of attention recently and appears promising for such a constantly changing environment, which is cyber security. The survey also focuses on the practical usability of the methods and problems related to their evaluation.
ER  -

HUSÁK, Martin, Jana KOMÁRKOVÁ, Elias BOU-HARB a Pavel ČELEDA. Survey of Attack Projection, Prediction, and Forecasting in Cyber Security. \textit{IEEE Communications Surveys \&{} Tutorials}. IEEE, 2019, roč.~21, č.~1, s.~640-660. ISSN~1553-877X. Dostupné z: https://dx.doi.org/10.1109/COMST.2018.2871866.

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