Cyber Fighter Associate: A Decision Support System for cyber agility

Charles Huber; Patrick McDaniel; Scott E. Brown; Lisa Marvel

doi:10.1109/CISS.2016.7460501

Cyber Fighter Associate: A Decision Support System for cyber agility

Charles Huber
, Patrick McDaniel
, Scott E. Brown
, Lisa Marvel

Computer Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

7 Scopus citations

Abstract

In the event of a cyber attack it is important for network defenders to make quick, informed decisions to secure assets. However, the human decision making process is slow and inefficient compared to the speed at which cyber operations can occur. The use of a decision support system (DSS) would help aid agility decisions to shorten the amount of time a network is insecure. In tactical military networks, such a DSS would need to consider constrained resources such as battery life and bandwidth as well as mission goals. In this paper we describe a DSS (Cyber Fighter Associate (CyFiA)) to help select agility maneuvers to contain and eliminate a malicious infection in a mobile ad hoc network (MANET). A variety of scenarios prioritizing factors such as node criticality, health, security and capability are employed. Our results show that CyFiA selects the best sequence of maneuvers for the scenarios and can reduce energy costs when securing a MANET.

Original language	English (US)
Title of host publication	2016 50th Annual Conference on Information Systems and Sciences, CISS 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	198-203
Number of pages	6
ISBN (Electronic)	9781467394574
DOIs	https://doi.org/10.1109/CISS.2016.7460501
State	Published - Apr 26 2016
Event	50th Annual Conference on Information Systems and Sciences, CISS 2016 - Princeton, United States Duration: Mar 16 2016 → Mar 18 2016

Publication series

Name	2016 50th Annual Conference on Information Systems and Sciences, CISS 2016

Other

Other	50th Annual Conference on Information Systems and Sciences, CISS 2016
Country/Territory	United States
City	Princeton
Period	3/16/16 → 3/18/16

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Information Systems

Access to Document

10.1109/CISS.2016.7460501

Cite this

Huber, C., McDaniel, P., Brown, S. E., & Marvel, L. (2016). Cyber Fighter Associate: A Decision Support System for cyber agility. In 2016 50th Annual Conference on Information Systems and Sciences, CISS 2016 (pp. 198-203). Article 7460501 (2016 50th Annual Conference on Information Systems and Sciences, CISS 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CISS.2016.7460501

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title = "Cyber Fighter Associate: A Decision Support System for cyber agility",

abstract = "In the event of a cyber attack it is important for network defenders to make quick, informed decisions to secure assets. However, the human decision making process is slow and inefficient compared to the speed at which cyber operations can occur. The use of a decision support system (DSS) would help aid agility decisions to shorten the amount of time a network is insecure. In tactical military networks, such a DSS would need to consider constrained resources such as battery life and bandwidth as well as mission goals. In this paper we describe a DSS (Cyber Fighter Associate (CyFiA)) to help select agility maneuvers to contain and eliminate a malicious infection in a mobile ad hoc network (MANET). A variety of scenarios prioritizing factors such as node criticality, health, security and capability are employed. Our results show that CyFiA selects the best sequence of maneuvers for the scenarios and can reduce energy costs when securing a MANET.",

author = "Charles Huber and Patrick McDaniel and Brown, \{Scott E.\} and Lisa Marvel",

year = "2016",

month = apr,

day = "26",

doi = "10.1109/CISS.2016.7460501",

language = "English (US)",

series = "2016 50th Annual Conference on Information Systems and Sciences, CISS 2016",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "198--203",

booktitle = "2016 50th Annual Conference on Information Systems and Sciences, CISS 2016",

address = "United States",

note = "50th Annual Conference on Information Systems and Sciences, CISS 2016 ; Conference date: 16-03-2016 Through 18-03-2016",

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Huber, C, McDaniel, P, Brown, SE & Marvel, L 2016, Cyber Fighter Associate: A Decision Support System for cyber agility. in 2016 50th Annual Conference on Information Systems and Sciences, CISS 2016., 7460501, 2016 50th Annual Conference on Information Systems and Sciences, CISS 2016, Institute of Electrical and Electronics Engineers Inc., pp. 198-203, 50th Annual Conference on Information Systems and Sciences, CISS 2016, Princeton, United States, 3/16/16. https://doi.org/10.1109/CISS.2016.7460501

Cyber Fighter Associate: A Decision Support System for cyber agility. / Huber, Charles; McDaniel, Patrick; Brown, Scott E. et al.
2016 50th Annual Conference on Information Systems and Sciences, CISS 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 198-203 7460501 (2016 50th Annual Conference on Information Systems and Sciences, CISS 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Cyber Fighter Associate

T2 - 50th Annual Conference on Information Systems and Sciences, CISS 2016

AU - Huber, Charles

AU - McDaniel, Patrick

AU - Brown, Scott E.

AU - Marvel, Lisa

PY - 2016/4/26

Y1 - 2016/4/26

N2 - In the event of a cyber attack it is important for network defenders to make quick, informed decisions to secure assets. However, the human decision making process is slow and inefficient compared to the speed at which cyber operations can occur. The use of a decision support system (DSS) would help aid agility decisions to shorten the amount of time a network is insecure. In tactical military networks, such a DSS would need to consider constrained resources such as battery life and bandwidth as well as mission goals. In this paper we describe a DSS (Cyber Fighter Associate (CyFiA)) to help select agility maneuvers to contain and eliminate a malicious infection in a mobile ad hoc network (MANET). A variety of scenarios prioritizing factors such as node criticality, health, security and capability are employed. Our results show that CyFiA selects the best sequence of maneuvers for the scenarios and can reduce energy costs when securing a MANET.

AB - In the event of a cyber attack it is important for network defenders to make quick, informed decisions to secure assets. However, the human decision making process is slow and inefficient compared to the speed at which cyber operations can occur. The use of a decision support system (DSS) would help aid agility decisions to shorten the amount of time a network is insecure. In tactical military networks, such a DSS would need to consider constrained resources such as battery life and bandwidth as well as mission goals. In this paper we describe a DSS (Cyber Fighter Associate (CyFiA)) to help select agility maneuvers to contain and eliminate a malicious infection in a mobile ad hoc network (MANET). A variety of scenarios prioritizing factors such as node criticality, health, security and capability are employed. Our results show that CyFiA selects the best sequence of maneuvers for the scenarios and can reduce energy costs when securing a MANET.

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M3 - Conference contribution

AN - SCOPUS:84992401805

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ER -

Huber C, McDaniel P, Brown SE, Marvel L. Cyber Fighter Associate: A Decision Support System for cyber agility. In 2016 50th Annual Conference on Information Systems and Sciences, CISS 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 198-203. 7460501. (2016 50th Annual Conference on Information Systems and Sciences, CISS 2016). doi: 10.1109/CISS.2016.7460501

Cyber Fighter Associate: A Decision Support System for cyber agility

Abstract

Publication series

Other

UN SDGs

All Science Journal Classification (ASJC) codes

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