EVE and ADAM: Situation Awareness Tools for NATO CCDCOE Cyber Exercises

Francisco Jesús Rubio Melón, Teemu Uolevi Väisänen, Mauno Pihelgas

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientific

4 Citations (Scopus)

Abstract

We present a new situation awareness visualisation tool, the Events Visualisation Environment (EVE), and its internal events aggregator module, the Advanced Data Aggregation Module (ADAM), which have been successfully used during the most recent cyber exercises (i.e., Locked Shields and Crossed Swords) organised by the NATO Cooperative Cyber Defence Centre of Excellence (NATO CCDCOE).
The functional requirements for EVE and ADAM were based on the unique cyber exercise needs for analysis and game development, and were finalised after we had completed a state-of-the-art review to look for suitable tools that could meet our requirements.
The main purpose of EVE is to visualise security alerts on any given network map. ADAM, the supporting events aggregation module, processes, combines and filters incoming notifications from various types of sensors, and makes them ready to be visualised by EVE. EVE offers an intuitive and real-time visualisation that is easily understandable at first glance by both technical and non-technical staff. It also allows for recording and playback, and considers attack types, game phases, attack sources, and targets.
The information required by EVE is obtained from different sensors operating on the network. EVE allows for a very simplified communication channel with them, based on JSON formatted messages sent over an HTTP POST request. The sensors used during the cyber exercises to test the tools are also described here.
The tools have provided an enhanced situation awareness experience over previous cyber exercises organised by NATO CCDCOE, and can be used in other exercises or, more generally, in real-life, production-ready environments. EVE (with ADAM included)
Original languageEnglish
Title of host publicationCyber Physical Security of Defense Systems
Subtitle of host publication STO - Meeting proceedings
EditorsXuewen Chen, Bo Luo, Feng Luo, Vasile Palade, M. Arif Wani
Number of pages15
Publication statusPublished - 28 May 2018
MoE publication typeB3 Non-refereed article in conference proceedings
EventSystems Concepts and Integration (SCI) Panel SCI-300 Specialists’ Meeting on ‘Cyber Physical Security of Defense Systems’ - Fort Walton Beach, United States
Duration: 8 May 20189 May 2018

Seminar

SeminarSystems Concepts and Integration (SCI) Panel SCI-300 Specialists’ Meeting on ‘Cyber Physical Security of Defense Systems’
CountryUnited States
Period8/05/189/05/18

Fingerprint

Agglomeration
Visualization
Sensors
HTTP

Keywords

  • aggregation
  • alerts
  • filters
  • network maps
  • situation awareness
  • visualisation

Cite this

Rubio Melón, F. J., Väisänen, T. U., & Pihelgas, M. (2018). EVE and ADAM: Situation Awareness Tools for NATO CCDCOE Cyber Exercises. In X. Chen, B. Luo, F. Luo, V. Palade, & M. A. Wani (Eds.), Cyber Physical Security of Defense Systems: STO - Meeting proceedings [STO-MP-SCI-300]
Rubio Melón, Francisco Jesús ; Väisänen, Teemu Uolevi ; Pihelgas, Mauno. / EVE and ADAM : Situation Awareness Tools for NATO CCDCOE Cyber Exercises. Cyber Physical Security of Defense Systems: STO - Meeting proceedings. editor / Xuewen Chen ; Bo Luo ; Feng Luo ; Vasile Palade ; M. Arif Wani. 2018.
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Rubio Melón, FJ, Väisänen, TU & Pihelgas, M 2018, EVE and ADAM: Situation Awareness Tools for NATO CCDCOE Cyber Exercises. in X Chen, B Luo, F Luo, V Palade & MA Wani (eds), Cyber Physical Security of Defense Systems: STO - Meeting proceedings., STO-MP-SCI-300, Systems Concepts and Integration (SCI) Panel SCI-300 Specialists’ Meeting on ‘Cyber Physical Security of Defense Systems’, United States, 8/05/18.

EVE and ADAM : Situation Awareness Tools for NATO CCDCOE Cyber Exercises. / Rubio Melón, Francisco Jesús; Väisänen, Teemu Uolevi; Pihelgas, Mauno.

Cyber Physical Security of Defense Systems: STO - Meeting proceedings. ed. / Xuewen Chen; Bo Luo; Feng Luo; Vasile Palade; M. Arif Wani. 2018. STO-MP-SCI-300.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientific

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AU - Rubio Melón, Francisco Jesús

AU - Väisänen, Teemu Uolevi

AU - Pihelgas, Mauno

PY - 2018/5/28

Y1 - 2018/5/28

N2 - We present a new situation awareness visualisation tool, the Events Visualisation Environment (EVE), and its internal events aggregator module, the Advanced Data Aggregation Module (ADAM), which have been successfully used during the most recent cyber exercises (i.e., Locked Shields and Crossed Swords) organised by the NATO Cooperative Cyber Defence Centre of Excellence (NATO CCDCOE).The functional requirements for EVE and ADAM were based on the unique cyber exercise needs for analysis and game development, and were finalised after we had completed a state-of-the-art review to look for suitable tools that could meet our requirements.The main purpose of EVE is to visualise security alerts on any given network map. ADAM, the supporting events aggregation module, processes, combines and filters incoming notifications from various types of sensors, and makes them ready to be visualised by EVE. EVE offers an intuitive and real-time visualisation that is easily understandable at first glance by both technical and non-technical staff. It also allows for recording and playback, and considers attack types, game phases, attack sources, and targets.The information required by EVE is obtained from different sensors operating on the network. EVE allows for a very simplified communication channel with them, based on JSON formatted messages sent over an HTTP POST request. The sensors used during the cyber exercises to test the tools are also described here.The tools have provided an enhanced situation awareness experience over previous cyber exercises organised by NATO CCDCOE, and can be used in other exercises or, more generally, in real-life, production-ready environments. EVE (with ADAM included)

AB - We present a new situation awareness visualisation tool, the Events Visualisation Environment (EVE), and its internal events aggregator module, the Advanced Data Aggregation Module (ADAM), which have been successfully used during the most recent cyber exercises (i.e., Locked Shields and Crossed Swords) organised by the NATO Cooperative Cyber Defence Centre of Excellence (NATO CCDCOE).The functional requirements for EVE and ADAM were based on the unique cyber exercise needs for analysis and game development, and were finalised after we had completed a state-of-the-art review to look for suitable tools that could meet our requirements.The main purpose of EVE is to visualise security alerts on any given network map. ADAM, the supporting events aggregation module, processes, combines and filters incoming notifications from various types of sensors, and makes them ready to be visualised by EVE. EVE offers an intuitive and real-time visualisation that is easily understandable at first glance by both technical and non-technical staff. It also allows for recording and playback, and considers attack types, game phases, attack sources, and targets.The information required by EVE is obtained from different sensors operating on the network. EVE allows for a very simplified communication channel with them, based on JSON formatted messages sent over an HTTP POST request. The sensors used during the cyber exercises to test the tools are also described here.The tools have provided an enhanced situation awareness experience over previous cyber exercises organised by NATO CCDCOE, and can be used in other exercises or, more generally, in real-life, production-ready environments. EVE (with ADAM included)

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KW - alerts

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KW - visualisation

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BT - Cyber Physical Security of Defense Systems

A2 - Chen, Xuewen

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A2 - Palade, Vasile

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Rubio Melón FJ, Väisänen TU, Pihelgas M. EVE and ADAM: Situation Awareness Tools for NATO CCDCOE Cyber Exercises. In Chen X, Luo B, Luo F, Palade V, Wani MA, editors, Cyber Physical Security of Defense Systems: STO - Meeting proceedings. 2018. STO-MP-SCI-300