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Assessing Internet-wide Cyber Situational Awareness of Critical Sectors

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14610%2F18%3A00102646" target="_blank" >RIV/00216224:14610/18:00102646 - isvavai.cz</a>

  • Result on the web

    <a href="http://doi.acm.org/10.1145/3230833.3230837" target="_blank" >http://doi.acm.org/10.1145/3230833.3230837</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1145/3230833.3230837" target="_blank" >10.1145/3230833.3230837</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Assessing Internet-wide Cyber Situational Awareness of Critical Sectors

  • Original language description

    In this short paper, we take a first step towards empirically assessing Internet-wide malicious activities generated from and targeted towards Internet-scale business sectors (i.e., financial, health, education, etc.) and critical infrastructure (i.e., utilities, manufacturing, government, etc.). Facilitated by an innovative and a collaborative large-scale effort, we have conducted discussions with numerous Internet entities to obtain rare and private information related to allocated IP blocks pertaining to the aforementioned sectors and critical infrastructure. To this end, we employ such information to attribute Internet-scale maliciousness to such sectors and realms, in an attempt to provide an in-depth analysis of the global cyber situational posture. We draw upon close to 16.8 TB of darknet data to infer probing activities (typically generated by malicious/infected hosts) and DDoS backscatter, from which we distill IP addresses of victims. By executing week-long measurements, we observed an alarming number of more than 11,000 probing machines and 300 DDoS attack victims hosted by critical sectors. We also generate rare insights related to the maliciousness of various business sectors, including financial, which typically do not report their hosted and targeted illicit activities for reputation-preservation purposes. While we treat the obtained results with strict confidence due to obvious sensitivity reasons, we postulate that such generated cyber threat intelligence could be shared with sector/critical infrastructure operators, backbone networks and Internet service providers to contribute to the overall threat remediation objective.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10200 - Computer and information sciences

Result continuities

  • Project

    <a href="/en/project/EF16_019%2F0000822" target="_blank" >EF16_019/0000822: CyberSecurity, CyberCrime and Critical Information Infrastructures Center of Excellence</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2018

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the 13th International Conference on Availability, Reliability and Security

  • ISBN

    9781450364485

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    „29:1“-„29:6“

  • Publisher name

    ACM

  • Place of publication

    Hamburg

  • Event location

    Hamburg

  • Event date

    Aug 27, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000477981800057