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Title:Analiza in primerjava sistemov za zaznavanje vdorov : diplomsko delo
Authors:ID Đoković, Isidora (Author)
ID Nemec Zlatolas, Lili (Mentor) More about this mentor... New window
Files:.pdf UN_Dokovic_Isidora_2024.pdf (1,71 MB)
MD5: C33568CB5064DDEF64E96C571C51E391
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V diplomskem delu smo preučili in analizirali sisteme za zaznavanje vdorov (IDS) s primerjavo dveh odprtokodnih orodij, Suricata in OSSEC. Proučili smo osnovne koncepte, metodologije in različne vrste tehnologij IDS. S pregledom literature in praktičnih simulacij ocenjujemo, kako učinkovito ti sistemi odkrivajo in kategorizirajo kibernetske grožnje. Naše ugotovitve kažejo, da je sicer vsaka tehnologija učinkovita na določenih področjih, vendar kombinacija sistemov, kot sta Suricata in OSSEC, zagotavlja bolj celovit pregled potencialnih groženj. V raziskavi hkrati ugotavljamo, da je učinkovitost teh sistemov odvisna od ustrezne konfiguracije, namestitve in usposobljenega osebja.
Keywords:Sistem za zaznavanje vdorov, IDS, Suricata, OSSEC
Place of publishing:Maribor
Place of performance:Maribor
Publisher:[I. Đoković]
Year of publishing:2024
Number of pages:1 spletni vir (1 datoteka PDF (X, 57 f.))
PID:20.500.12556/DKUM-90156 New window
UDC:004.056.52/.056.53(043.2)
COBISS.SI-ID:218032643 New window
Publication date in DKUM:14.10.2024
Views:241
Downloads:63
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:26.08.2024

Secondary language

Language:English
Title:Analysis and comparison of intrusion detection systems
Abstract:In this thesis, we have studied and analysed intrusion detection systems (IDS) by comparing two open source tools, Suricata and OSSEC. We have explored the basic concepts, methodologies and different types of IDS technologies. Through a literature review and practical simulations, we assess how effective these systems are in detecting and categorising cyber threats. Our findings show that while each technology is effective in certain areas, the combination of systems such as Suricata and OSSEC provides a more comprehensive view of potential threats. But also that the effectiveness of these systems depends on appropriate configuration, deployment and trained personnel.
Keywords:Intrusion detection system, IDS, Suricata, OSSEC


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