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Σχολή Επιστημών και Τεχνολογίας της Πληροφορίας

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Πλοήγηση Σχολή Επιστημών και Τεχνολογίας της Πληροφορίας ανά Συγγραφέα "Alexis, Andreas"

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  • Μικρογραφία εικόνας
    Τεκμήριο
    A decentralized implementation on cyber threat intelligence
    (2018) Alexis, Andreas; Athens University of Economics and Business, Department of Informatics; Ντούσκας, Θεόδωρος; Δρίτσας, Στέλιος
    Information Security research includes many subjects regarding protection and mitigation from threats to an organization’s information assets. However, the prevailing factor that deters an organization from appropriately securing the Critical Infrastructure of, is the lack of cooperativeness among the interested parties that are exposed to common threats. Major contributor to enhance the information security perception within an entity is the rising Behavioral InfoSec sector and the exchange of knowledge, using technologies as Threat Intelligence Platforms. As organizations have limited sources to detect and respond to cyber threats, the peer-to-peer sharing of security threat information is the key element for collaborative security, providing a spherical view of the global threat network. The gathered information can generate more precise models of the attacker’s behavior and intentions. Nonetheless, as sensitive data and information are to be exposed, the need for a decentralized system for effectively distributing threat alerts to collaborating peers is more than noteworthy. The utmost goal is to provide real-time solutions that eliminate the human factor and lead to a more efficient and less time-consuming incident management process. The requirements of effective risk management are to classify cyber incident reports, eradicate irrelevant information and automate the reporting life cycle management. In order to satisfy them, the method is based on artificial intelligence tools that can support cyber analysts in determining security situational awareness and promptly respond to threats with mitigation methods and techniques. The risks for security administrators, that rise from collecting all the sensitive data of an organization, security weaknesses and reports that replicate alert information and forwarding them to a central node, minimizes the desired level of trust and sets the possibility of a single point of failure at a high level. The missing piece that acts as a remedy to such situations, is a decentralized and distributed platform that carefully manages confidential information, reduces manual operations and issues automatically incident reports. Blockchain technology in accordance with Big Data tools combined with Machine Learning techniques on a trustworthy ecosystem, constitute the key pillars of a high-level Information Security and Risk Management direction.