Temat: access log - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Access Logs : Underestimated Privacy Risks
Autorzy:: Glet, Michał
Kaczyński, Kamil
Powiązania:: https://bibliotekanauki.pl/articles/227087.pdf
Data publikacji:: 2020
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: metadata
privacy
cybersecurity
instant messaging
access log
Opis:: Access logs may offer service providers a lot of information about specific users. Depending on the type of the service offers, the operator is capable of obtaining the user’s IP, location, communication habits, device information and so on. In this paper, we analyze a sample instant messenger service that is operating for a certain period of time. In our sandbox, we gathered enough data to correlate user communication habits with their localization, and even contacts. We show how seriously metadata may impact the user’s privacy and make some recommendations about mitigating the quantity of data collected in connection with this type of services.
Źródło:: International Journal of Electronics and Telecommunications; 2020, 66, 3; 405-410
2300-1933
Pojawia się w:: International Journal of Electronics and Telecommunications
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Graph-based Forensic Analysis of Web Honeypot
Autorzy:: Studiawan, H.
Djanali, S.
Pratomo, D. A.
Powiązania:: https://bibliotekanauki.pl/articles/309273.pdf
Data publikacji:: 2016
Wydawca:: Instytut Łączności - Państwowy Instytut Badawczy
Tematy:: access log
attack type
graph agglomerative clustering
visualization of large graphs
Opis:: Honeypot still plays an important role in network security, especially in analyzing attack type and defining attacker patterns. Previous research has mainly focused on detecting attack pattern while categorization of type has not yet been-comprehensively discussed. Nowadays, the web application is the most common and popular way for users to gather information, but it also invites attackers to assault the system. Therefore, deployment of a web honeypot is important and its forensic analysis is urgently required. In this paper, authors propose attack type analysis from web honeypot log for forensic purposes. Every log is represented as a vertex in a graph. Then a custom agglomerative clustering to categorize attack type based on PHP-IDS rules is deployed. A visualization of large graphs is also provided since the actual logs contain tens of thousands of rows of records. The experimental results show that the proposed model can help forensic investigators examine a web honeypot log more precisely.
Źródło:: Journal of Telecommunications and Information Technology; 2016, 2; 60-65
1509-4553
1899-8852
Pojawia się w:: Journal of Telecommunications and Information Technology
Dostawca treści:: Biblioteka Nauki

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