کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
459358 696243 2016 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A likelihood ratio anomaly detector for identifying within-perimeter computer network attacks
ترجمه فارسی عنوان
یک تشخیص ناپایدار نسبت احتمال برای شناسایی حملات شبکه کامپیوتری در داخل محیط
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر شبکه های کامپیوتری و ارتباطات
چکیده انگلیسی

The rapid detection of attackers within firewalls of enterprise computer networks is of paramount importance. Anomaly detectors address this problem by quantifying deviations from baseline statistical models of normal network behavior and signaling an intrusion when the observed data deviates significantly from the baseline model. However, many anomaly detectors do not take into account plausible attacker behavior. As a result, anomaly detectors are prone to a large number of false positives due to unusual but benign activity. This paper first introduces a stochastic model of attacker behavior which is motivated by real world attacker traversal. Then, we develop a likelihood ratio detector that compares the probability of observed network behavior under normal conditions against the case when an attacker has possibly compromised a subset of hosts within the network. Since the likelihood ratio detector requires integrating over the time each host becomes compromised, we illustrate how to use Monte Carlo methods to compute the requisite integral. We then present Receiver Operating Characteristic (ROC) curves for various network parameterizations that show for any rate of true positives, the rate of false positives for the likelihood ratio detector is no higher than that of a simple anomaly detector and is often lower. We conclude by demonstrating the superiority of the proposed likelihood ratio detector when the network topologies and parameterizations are extracted from real-world networks.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Network and Computer Applications - Volume 66, May 2016, Pages 166–179
نویسندگان
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