Defending Critical Infrastructures Against Cyber Attacks: Cooperation through Data-Exchange Infrastructure and Advanced Data Analytics

Lemieux, Frédéric

doi:10.1057/9781137455550_9

Cited by 1 publication

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“…However, the authors have given various recommendations for future research directions that can bring out quality in data exchange. In [23], a novel methodology was presented for the evaluation of quality in threat intelligence. It also seems to be applied to a wider aspect of organizational security as the quality compromise in CTI can be a major issue.…”

Section: Related Workmentioning

confidence: 99%

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Generic Attribute Scoring for Information Decay in Threat Information Sharing Platform

Alshehri¹

2021

Computers, Materials &Amp; Continua

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Cyber Threat Intelligence (CTI) has gained massive attention to collect hidden knowledge for a better understanding of the various cyber-attacks and eventually paving the way for predicting the future of such attacks. The information exchange and collaborative sharing through different platforms have a significant contribution towards a global solution. While CTI and the information exchange can help a lot in focusing and prioritizing on the use of the large volume of complex information among different organizations, there exists a great challenge ineffective processing of large count of different Indicators of Threat (IoT) which appear regularly, and that can be solved only through a collaborative approach. Collaborative approach and intelligence sharing have become the mandatory element in the entire world of processing the threats. In order to covet the complete needs of having a definite standard of information exchange, various initiatives have been taken in means of threat information sharing platforms like MISP and formats such as SITX. This paper proposes a scoring model to address information decay, which is shared within TISP. The scoring model is implemented, taking the use case of detecting the Threat Indicators in a phishing data network. The proposed method calculates the rate of decay of an attribute through which the early entries are removed.

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Section: Related Workmentioning

confidence: 99%

“…Andrian et al [22] Data quality enhancement in CTI Discussed in detail on the impact of the quality of data in CTI. Lemieux et al [23] QA in threat intelligence The quality of the information sharing in CTI was the majorly addressed.…”

Section: Zhengjun Et Al [15]mentioning

confidence: 99%

Generic Attribute Scoring for Information Decay in Threat Information Sharing Platform

Alshehri¹

2021

Computers, Materials &Amp; Continua

View full text Add to dashboard Cite

show abstract

Defending Critical Infrastructures Against Cyber Attacks: Cooperation through Data-Exchange Infrastructure and Advanced Data Analytics

Cited by 1 publication

References 0 publications

Generic Attribute Scoring for Information Decay in Threat Information Sharing Platform

Generic Attribute Scoring for Information Decay in Threat Information Sharing Platform

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