Collaboratively Exchanging Warning Messages between Peers While under Attack

Haustein, Mirko; Sighart, Herbert; Titze, Dennis; Schoo, Peter

doi:10.1109/ares.2013.95

Cited by 2 publications

(2 citation statements)

References 10 publications

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“…Sharing CTI with competitors might encourage free riding and not sharing information with the stakeholder or collective, trust might be violated, and negative publicity may affect market value and stock price. The researchers in [49] raised concerns that the disclosure of internal information related to an incident may harm a stakeholder's reputation. Internal information may include e-mail addresses, names, and other PII.…”

Section: Risks Of Sharing Ctimentioning

confidence: 99%

Cyber threat intelligence sharing: Survey and research directions

Wagner

Mahbub

Palomar

et al. 2019

Computers & Security

173

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Cyber Threat Intelligence (CTI) sharing has become a novel weapon in the arsenal of cyber defenders to proactively mitigate increasing cyber attacks. Automating the process of CTI sharing, and even the basic consumption, has raised new challenges for researchers and practitioners. This extensive literature survey explores the current state-of-the-art and approaches different problem areas of interest pertaining to the larger field of sharing cyber threat intelligence. The motivation for this research stems from the recent emergence of sharing cyber threat intelligence and the involved challenges of automating its processes. This work comprises a considerable amount of articles from academic and gray literature, and focuses on technical and non-technical challenges. Moreover, the findings reveal which topics were widely discussed, and hence considered relevant by the authors and cyber threat intelligence sharing communities.

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Section: Risks Of Sharing Ctimentioning

confidence: 99%

Cyber threat intelligence sharing: Survey and research directions

Wagner

Mahbub

Palomar

et al. 2019

Computers & Security

173

View full text Add to dashboard Cite

show abstract

“…On the other hand, certain organizational risks such as freeriding, trust violation, negative publicity, reputational damage, etc. also prevent CTI sharing [32,33]. Authors in [34,35] stress the need for rules and regulations for CTI sharing in the existing policies.…”

Section: Related Workmentioning

confidence: 99%

Dynamic Risk Assessment and Analysis Framework for Large-Scale Cyber-Physical Systems

Malik¹,

Tosh²

2018

ICST Transactions on Security and Safety

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Cyberspace is growing at full tilt creating an amalgamation of disparate systems. This heterogeneity leads to increased system complexity and security flaws. It is crucial to understand and identify these flaws to prevent catastrophic events. However, the current state-of-the-art solutions are threat-specific and focus on either risk, vulnerabilities, or adversary emulation. In this work, we present a scalable Cyber-threats and Vulnerability Information Analyzer (CyVIA) framework. CyVIA analyzes cyber risks and abnormalities in real-time using multi-formatted knowledge bases derived from open-source vulnerability databases. CyVIA achieves the following goals: 1) assess the target network for risk and vulnerabilities, 2) map services and policies to network nodes, 3) classify nodes based on severity, and 4) provide consequences, mitigation, and relationships for the found vulnerabilities. We use CyVIA and other tools to examine a simulated network for threats and compare the results.

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Collaboratively Exchanging Warning Messages between Peers While under Attack

Cited by 2 publications

References 10 publications

Cyber threat intelligence sharing: Survey and research directions

Cyber threat intelligence sharing: Survey and research directions

Dynamic Risk Assessment and Analysis Framework for Large-Scale Cyber-Physical Systems

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