An anomaly-based intrusion detection system, is an intrusion detection system for detecting both network and computer intrusions and misuse by monitoring system activity and classifying it as either normal or anomalous. The classification is based on heuristics or rules, rather than patterns or signatures, and attempts to detect any type of misuse that falls out of normal system operation. This is as opposed to signature-based systems, which can only detect attacks for which a signature has previously been created.
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| - Anomaly-based intrusion detection system (en)
- Anomaly based intrusion detection system (it)
- Обнаружение аномалий (ru)
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| - Un Anomaly Based Intrusion Detection System è una tipologia di Intrusion detection system che rileva violazioni alla sicurezza informatica attraverso un'analisi del sistema e un'identificazione e classificazione delle anomalie. Le anomalie possono essere rilevate tramite un'analisi comportamentale del traffico osservato in precedenze (euristica), contrariamente a quanto accade nei sistemi signature based dove la ricerca viene fatta tramite regole, tramite la ricerca di pattern o di firme caratteristiche delle violazioni di sicurezza. I sistemi ADS sono un miglioramento dei sistemi basati sull'individuazione delle violazioni tramite regole. (it)
- An anomaly-based intrusion detection system, is an intrusion detection system for detecting both network and computer intrusions and misuse by monitoring system activity and classifying it as either normal or anomalous. The classification is based on heuristics or rules, rather than patterns or signatures, and attempts to detect any type of misuse that falls out of normal system operation. This is as opposed to signature-based systems, which can only detect attacks for which a signature has previously been created. (en)
- Обнаружение аномалий — динамический метод работы антивирусов, систем сетевого мониторинга, хостовых и сетевых систем обнаружения вторжений. Программа, использующая этот метод, наблюдает определённые действия (работу программы/процесса, сетевой трафик, работу пользователя), следя за возможными необычными и подозрительными событиями или тенденциями. (ru)
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| - An anomaly-based intrusion detection system, is an intrusion detection system for detecting both network and computer intrusions and misuse by monitoring system activity and classifying it as either normal or anomalous. The classification is based on heuristics or rules, rather than patterns or signatures, and attempts to detect any type of misuse that falls out of normal system operation. This is as opposed to signature-based systems, which can only detect attacks for which a signature has previously been created. In order to positively identify attack traffic, the system must be taught to recognize normal system activity. The two phases of a majority of anomaly detection systems consist of the training phase (where a profile of normal behaviors is built) and testing phase (where current traffic is compared with the profile created in the training phase). Anomalies are detected in several ways, most often with artificial intelligence type techniques. Systems using artificial neural networks have been used to great effect. Another method is to define what normal usage of the system comprises using a strict mathematical model, and flag any deviation from this as an attack. This is known as strict anomaly detection. Other techniques used to detect anomalies include data mining methods, grammar based methods, and Artificial Immune System. Network-based anomalous intrusion detection systems often provide a second line of defense to detect anomalous traffic at the physical and network layers after it has passed through a firewall or other security appliance on the border of a network. Host-based anomalous intrusion detection systems are one of the last layers of defense and reside on computer end points. They allow for fine-tuned, granular protection of end points at the application level. Anomaly-based Intrusion Detection at both the network and host levels have a few shortcomings; namely a high false-positive rate and the ability to be fooled by a correctly delivered attack. Attempts have been made to address these issues through techniques used by PAYL and MCPAD. (en)
- Un Anomaly Based Intrusion Detection System è una tipologia di Intrusion detection system che rileva violazioni alla sicurezza informatica attraverso un'analisi del sistema e un'identificazione e classificazione delle anomalie. Le anomalie possono essere rilevate tramite un'analisi comportamentale del traffico osservato in precedenze (euristica), contrariamente a quanto accade nei sistemi signature based dove la ricerca viene fatta tramite regole, tramite la ricerca di pattern o di firme caratteristiche delle violazioni di sicurezza. I sistemi ADS sono un miglioramento dei sistemi basati sull'individuazione delle violazioni tramite regole. (it)
- Обнаружение аномалий — динамический метод работы антивирусов, систем сетевого мониторинга, хостовых и сетевых систем обнаружения вторжений. Программа, использующая этот метод, наблюдает определённые действия (работу программы/процесса, сетевой трафик, работу пользователя), следя за возможными необычными и подозрительными событиями или тенденциями. Антивирусы, использующие метод обнаружения подозрительного поведения программ, не пытаются идентифицировать известные вирусы. Вместо этого они прослеживают поведение всех программ. Это помогает исключить опасность полиморфизма вирусов. Если программа пытается записать какие-то данные в исполняемый файл (exe-файл), программа-антивирус может пометить этот файл, предупредить пользователя и спросить, что следует сделать. В отличие от метода соответствия определению вируса в словаре, метод подозрительного поведения даёт защиту от совершенно новых вирусов и сетевых атак, которых ещё нет ни в одной базе вирусов или атак. Однако программы, построенные на этом методе, могут выдавать также большое количество ошибочных предупреждений, что делает пользователя маловосприимчивым к предупреждениям. Если пользователь нажимает мышью на окно «Принять» («Accept») в каждом случае появления такого предупреждения, антивирусная программа не приносит никакой пользы. В последнее время эта проблема ещё более усугубилась, так как стало появляться всё больше невредоносных программ, модифицирующих другие exe-файлы, несмотря на существующую проблему ошибочных предупреждений. (ru)
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