Please use this identifier to cite or link to this item: http://dspace.lib.uom.gr/handle/2159/20176
Author: Τσακαλίδης, Γεώργιος
Title: Camco a framework for classification, analysis & monitoring cybercrime-related offences
Date Issued: 2016
Department: Πρόγραμμα Μεταπτυχιακών Σπουδών Ειδίκευσης στην Εφαρμοσμένη Πληροφορική
Supervisor: Βεργίδης, Κωνσταντίνος
Abstract: Multiple studies and surveys focus on specific cybercrime characteristics or develop classification models that do not adequately address the complexity of this contemporary type of crime. This study proposes a comprehensive approach towards cybercrime interpretation, frequency analysis and action recommendation through the CAMCO Framework. The framework provides four separate but complementary views to achieve a holistic perspective. The CAMCO view I identifies the features of a cybercrime incident and their corresponding elements generating a textual schema-based description that can accommodate existing and new instances of cybercrime. The second view introduces an up-to-date cybercrime-related offence classification system through consolidation and elaboration of existing approaches. For each type, the author provides a visual extension of schema-based incident description that depicts the interrelations of the various cybercrime elements in regard to a particular type of offence. The third perspective (view III) describes the steps for a qualitative analysis of cybersecurity threats, deriving from annual reports on cybercrime incident frequency and evaluates their threat severity based on time progression. Lastly, the final CAMCO view identifies and interconnects the relevant stakeholders with preventive and response actions and measures. The proposed framework demonstrates that the necessity of a comprehensive approach towards cybercrime can be actualized through different steps (CAMCO views), each one designated to a different perspective. The main contribution of the proposed framework lies in the apprehension, categorization and resolution of a cybercrime incident depending on its severity and frequency.
Keywords: Computer crime
Computer forensics
Human and societal aspects of security and privacy
Surveillance mechanisms
Privacy protection
Social engineering attacks
Malware / spyware crime
Financial crime
Systems security
Investigation techniques
Evidence collection, storage and analysis
Information: Διπλωματική εργασία--Πανεπιστήμιο Μακεδονίας, Θεσσαλονίκη, 2016.
Rights: Attribution-NonCommercial-NoDerivatives 4.0 Διεθνές
Appears in Collections:ΠΜΣ Εφαρμοσμένης Πληροφορικής (M)

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