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threat intelligence vendors

Guide to cyber threat information sharing, Social network analysis: an approach and technique for the study of information exchange, Complex networks: small-world, scale-free and beyond, Structural effects of R&D collaboration network on knowledge diffusion performance, Finding and evaluating community structure in networks, Cooperation between rivals: informal know-how trading, Co-opetition between giants: collaboration with competitors for technological innovation, Coopetition-based business models: the case of Amazon.com, Explaining interfirm cooperation and performance: toward a reconciliation of predictions from the resource-based view and organizational economics, Koçak A, Özer A; Coopetition as a small business strategy: implications for performance, Understanding the rationale of strategic technology partnering: interorganizational modes of cooperation and sectoral differences, Informal technology transfer between firms: cooperation through information trading, Interorganizational networks at the network level: a review of the empirical literature on whole networks, Gephi: an Open Source Software for Exploring and Manipulating Networks, Network ‘small-world-ness’: a quantitative method for determining canonical network equivalence, Collective dynamics of ‘small-world’networks, Fast unfolding of communities in large networks, Fast algorithm for detecting community structure in networks, Depth-first search and linear graph algorithms, An empirical model for strategic network formation, Impact of co-opetition on firm competitive behavior: an empirical examination, Information sharing among firms and cyber attacks, Interpreting the Magnitudes of Correlation Coefficients. First, it contributes to domain knowledge by analyzing a novel dataset of a threat-intelligence-sharing ecosystem between cybersecurity vendors, identifying some of its related characteristics and insights, visualizing hubs, brokers, communities, and other patterns in the network structure, and discussing the results in the context of the cybersecurity industry. In related empirical works, Gay and Dousset [25] demonstrated a positive correlation between network centrality and firm innovation capability in the biotechnology sector, and Fershtman and Gandal [24] discovered an association between an open-source project’s centrality and its real-world success (measured by the number of times it was downloaded). Please check your browser settings or contact your system administrator. Although there are deployments of threat intelligence sharing across different sectors, the partnerships formed between vendors in the cybersecurity market space have a significant coopetition attribute. Disaggregated components of a threat intelligence solution. Based on this discussion, we form the following conclusion: Conclusion 1: The cybersecurity industry exhibits a small-world structure associated with communities, suitable for effective intelligence sharing. The latter intensity attribute is visible as an edge weighted degree in the network graph. By submitting my Email address I confirm that I have read and accepted the Terms of Use and Declaration of Consent. The second is the technological and structural forms of CTI sharing initiatives [4–7]. The first uses an egocentric network view from a single actor (firm) perspective. The U.S. Department of Defense has adopted these standards, and further work to expand their capabilities is being done in both academia and industry8. Real-time actionable threat intelligence is an emerging defense concept focused on detection and mitigation of cyber threats. The observations are discussed in the context of the problem domain to form conclusions. The findings may be used by security vendors to assess the existing market dynamics, policy decision makers in all verticals to reconsider their sharing strategies, and regulation authorities to encourage CTI sharing. Cookie Preferences Cyber Security and Cloud Computing (CSCloud), 2015 IEEE 2nd International Conference on: IEEE. The formed network includes 57 sharing vendors/nodes out of the 500 nodes in the reference list and 131 sharing relationships/edges connecting them together.

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