Image of VISUALISASI SERANGAN GERAKAN LATERAL (LATERAL MOVEMENT ATTACK) DENGAN MENERAPKAN METODE K-MEANS CLUSTERING

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VISUALISASI SERANGAN GERAKAN LATERAL (LATERAL MOVEMENT ATTACK) DENGAN MENERAPKAN METODE K-MEANS CLUSTERING

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The lateral movement is one of the most crucial phases in an Advanced Persistent Threat (APT) attack, aiming to penetrate other resources and gain greater privileges within the target network. Attackers typically exploit social engineering techniques (such as phishing, pretexting, baiting) to deceive individuals within the network into running malicious code or surrendering credentials. This enables the attacker to gain access to the victim's computer and gradually seek valuable information by exploiting vulnerabilities in other intranet entities. Utilizing the K-means method for clustering benign and malicious activities, combined with Principal Component Analysis (PCA), this approach delivers good performance in visualizing laterally moving attacks. Combining the four datasets, connection dataset, files dataset, DNS dataset, and HTTP dataset, can provide a clear visualization to illustrate differences based on user activities. Through this data integration, it fosters a better understanding of normal and malicious activities within the network. The use of validation methods like the Elbow method proves the existence of a clear elbow point, making it easy to identify the optimal clusters. On the other hand, graphs lacking a clear elbow point might provide unreliable assessments. Hence, this research indicates that using the silhouette method is an effective evaluation technique for measuring the quality of an ideal cluster.

Availability
Inventory Code Barcode Call Number Location Status
2407000210T138013T1380132023Central Library (Referens)Available but not for loan - Not for Loan
Detail Information
Series Title
-
Call Number
T1380132023
Publisher
Inderalaya : Prodi Sistem Komputer, Fakultas Ilmu Komputer Uniersitas Sriwijaya.,
Collation
xvi, 80 hlm.; Ilus.; 29 cm
Language
Indonesia
ISBN/ISSN
-
Classification
005.707
Content Type
Text
Media Type
unmediated
Carrier Type
-
Edition
-
Subject(s)
Prodi Sistem Komputer
Data dalam sistem-sistem komputer
Specific Detail Info
-
Statement of Responsibility
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No other version available

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