Data Stream Subspace Clustering for Anomalous Network Packet Detection
نویسندگان
چکیده
منابع مشابه
Data Stream Subspace Clustering for Anomalous Network Packet Detection
As the Internet offers increased connectivity between human beings, it has fallen prey to malicious users who exploit its resources to gain illegal access to critical information. In an effort to protect computer networks from external attacks, two common types of Intrusion Detection Systems (IDSs) are often deployed. The first type is signature-based IDSs which can detect intrusions efficientl...
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In recent years, significant research has been devoted to the development of Intrusion Detection Systems (IDS) able to detect anomalous computer network traffic indicative of malicious activity. While signaturebased IDS have proven effective in discovering known attacks, anomaly-based IDS hold the even greater promise of being able to automatically detect previously undocumented threats. Tradit...
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ژورنال
عنوان ژورنال: Journal of Information Security
سال: 2012
ISSN: 2153-1234,2153-1242
DOI: 10.4236/jis.2012.33027