{"id":5144,"date":"2026-07-02T11:32:46","date_gmt":"2026-07-02T09:32:46","guid":{"rendered":"https:\/\/cybernemo.eu\/?p=5144"},"modified":"2026-07-10T11:35:33","modified_gmt":"2026-07-10T09:35:33","slug":"protecting-people-while-sharing-cyber-data-why-anonymisation-matters-in-cybernemo","status":"publish","type":"post","link":"https:\/\/cybernemo.eu\/index.php\/2026\/07\/02\/protecting-people-while-sharing-cyber-data-why-anonymisation-matters-in-cybernemo\/","title":{"rendered":"Protecting People While Sharing Cyber Data: Why Anonymisation Matters in CyberNEMO"},"content":{"rendered":"\n
<\/div>\n\n\n\n

\nEvery day, critical infrastructures generate enormous amounts of cyber data, from hospitals and smart energy networks to drones, media platforms, and logistics systems. This information is essential for developing better cybersecurity tools, but it also raises an important question:\n<\/p>\n\n

\nHow can we share valuable cyber data without exposing people\u2019s privacy?<\/strong>\n<\/p>\n\n

\nAt CyberNEMO, the answer is anonymisation<\/strong>.\n<\/p>\n\n

Why Technical Data Isn’t as Anonymous as It Looks<\/h3>\n\n

\nMany people assume that if a dataset doesn’t contain names, it\u2019s already anonymous. Unfortunately, that\u2019s not always true.\n<\/p>\n\n

\nTechnical information such as IP addresses, timestamps, GPS locations, or device identifiers can often be linked back to individuals, organisations, or specific systems. Even cybersecurity logs can reveal working patterns, locations, or sensitive infrastructure details.\n<\/p>\n\n

\nThat\u2019s why every dataset collected across CyberNEMO\u2019s pilots is treated as potentially identifying, even when no personal names are present.\n<\/p>\n\n

Turning Sensitive Data into Safe, Reusable Datasets<\/h3>\n\n

\nCyberNEMO applies several anonymisation techniques that protect privacy while preserving the information researchers need.\n<\/p>\n\n

\nSome examples include:\n<\/p>\n\n

    \n
  • Replacing real identities with anonymous labels so users and devices can still be tracked within a dataset without revealing who they are.<\/li>\n
  • Masking IP addresses to hide the exact location of computers while keeping network traffic patterns intact.<\/li>\n
  • Generalising timestamps, for example recording activity by hour instead of by the exact second.<\/li>\n
  • Reducing GPS precision so drone flights and smart infrastructure can be analysed without revealing precise locations.<\/li>\n
  • Hiding sensitive server names and service details while maintaining realistic communication patterns.<\/li>\n
  • Generalising medical information so healthcare datasets remain useful for cybersecurity research without exposing patient information.<\/li>\n<\/ul>\n\n

    \nThe goal is simple: preserve the value of the data while removing the details that could identify people or critical systems.\n<\/p>\n\n

    Why This Matters<\/h3>\n\n

    \nEffective anonymisation allows CyberNEMO to balance two equally important goals:\n<\/p>\n\n

      \n
    • Protect citizens\u2019 privacy and comply with GDPR.<\/li>\n
    • Enable researchers, innovators, and cybersecurity experts to work with realistic datasets.<\/li>\n<\/ul>\n\n

      \nThis supports the European vision of privacy by design<\/strong>, helping organisations collaborate without exposing sensitive information.\n<\/p>\n\n

      From Protected Data to Shared Knowledge<\/h3>\n\n

      \nOnce anonymised and validated, CyberNEMO datasets can be securely shared across the consortium to support the development and validation of cybersecurity technologies.\n<\/p>\n\n

      \nFollowing the FAIR principles (Findable, Accessible, Interoperable and Reusable<\/strong>), selected anonymised datasets are planned to be published through trusted open-data repositories such as Zenodo<\/strong>, subject to consortium approval and the necessary legal and ethical clearances.\n<\/p>\n\n

      \nPublishing datasets through Zenodo provides long-term preservation, persistent Digital Object Identifiers (DOIs), and enables researchers worldwide to discover, cite, and reuse CyberNEMO research outputs.\n<\/p>\n\n

      \nThis approach allows researchers to evaluate new cybersecurity techniques using realistic operational data while fully respecting privacy and data protection requirements.\n<\/p>\n\n

      \nThe benefits extend well beyond the CyberNEMO project:\n<\/p>\n\n

        \n
      • Researchers can develop, benchmark, and validate new cybersecurity detection algorithms using realistic datasets.<\/li>\n
      • SMEs and technology providers can accelerate the development of innovative cybersecurity products and services.<\/li>\n
      • Public authorities and critical infrastructure operators can promote secure, trustworthy, and responsible data sharing across Europe.<\/li>\n
      • The wider research community benefits from reusable datasets that support reproducible research and future innovation in cybersecurity and critical infrastructure protection.<\/li>\n<\/ul>\n\n

        Privacy Enables Innovation<\/h3>\n\n

        \nAnonymisation is often viewed as a compliance requirement, but in CyberNEMO it is much more than that.\n<\/p>\n\n

        \nIt is the foundation that transforms sensitive operational data into trusted, reusable knowledge. Instead of keeping valuable cybersecurity information locked away, anonymisation allows Europe to share what matters while protecting the people behind the data.\n<\/p>\n\n

        \nThat\u2019s how CyberNEMO helps build a stronger, more collaborative, and more privacy-conscious cybersecurity ecosystem.\n<\/p>\n\n\n\n

        <\/div>\n","protected":false},"excerpt":{"rendered":"

        Every day, critical infrastructures generate enormous amounts of cyber data, from hospitals and smart energy networks to drones, media platforms, and logistics systems. This information is essential for developing better cybersecurity tools, but it also raises an important question: How …<\/p>\n","protected":false},"author":4,"featured_media":5145,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"rank_math_lock_modified_date":false,"_mi_skip_tracking":false,"footnotes":""},"categories":[17,22],"tags":[],"cc_featured_image_caption":{"caption_text":"","source_text":"","source_url":""},"_links":{"self":[{"href":"https:\/\/cybernemo.eu\/index.php\/wp-json\/wp\/v2\/posts\/5144"}],"collection":[{"href":"https:\/\/cybernemo.eu\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/cybernemo.eu\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/cybernemo.eu\/index.php\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/cybernemo.eu\/index.php\/wp-json\/wp\/v2\/comments?post=5144"}],"version-history":[{"count":1,"href":"https:\/\/cybernemo.eu\/index.php\/wp-json\/wp\/v2\/posts\/5144\/revisions"}],"predecessor-version":[{"id":5146,"href":"https:\/\/cybernemo.eu\/index.php\/wp-json\/wp\/v2\/posts\/5144\/revisions\/5146"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/cybernemo.eu\/index.php\/wp-json\/wp\/v2\/media\/5145"}],"wp:attachment":[{"href":"https:\/\/cybernemo.eu\/index.php\/wp-json\/wp\/v2\/media?parent=5144"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/cybernemo.eu\/index.php\/wp-json\/wp\/v2\/categories?post=5144"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/cybernemo.eu\/index.php\/wp-json\/wp\/v2\/tags?post=5144"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}