Effective intrusion detection system using semi-supervised learning

Wagh, Sharmila K.; Kolhe, Satish R.

doi:10.1109/icdmic.2014.6954236

Cited by 20 publications

(12 citation statements)

References 9 publications

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“…Various machine learning algorithms were compared to reduce the false alarm rate and maintain high accuracy for industrial intrusion detection [21]. The work introduced A machine learning based classifier was introduced to reduce the false alarms and guarantee the precision for intrusion detection in the industrial area [22]. The work in [23] focused on the IDS and compared different techniques for the Industrial Internet of Things including machine learning and non-machine learning methods.…”

Section: Related Workmentioning

confidence: 99%

A Two Stage Intrusion Detection System for Industrial Control Networks Based on Ethernet/IP

Wang

Song

2019

Electronics

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Standard Ethernet (IEEE 802.3 and the TCP/IP protocol suite) is gradually applied in industrial control system (ICS) with the development of information technology. It breaks the natural isolation of ICS, but contains no security mechanisms. An improved intrusion detection system (IDS), which is strongly correlated to specific industrial scenarios, is necessary for modern ICS. On one hand, this paper outlines three kinds of attack models, including infiltration attacks, creative forging attacks, and false data injection attacks. On the other hand, a two stage IDS is proposed, which contains a traffic prediction model and an anomaly detection model. The traffic prediction model, which is based on the autoregressive integrated moving average (ARIMA), can forecast the traffic of the ICS network in the short term and detect infiltration attacks precisely according to the abnormal changes in traffic patterns. Furthermore, the anomaly detection model, using a one class support vector machine (OCSVM), is able to detect malicious control instructions by analyzing the key field in Ethernet/IP packets. The confusion matrix is selected to testify to the effectiveness of the proposed method, and two other innovative IDSs are used for comparison. The experiment results show that the proposed two stage IDS in this paper has an outstanding performance in detecting infiltration attacks, forging attacks, and false data injection attacks compared with other IDSs.

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Section: Related Workmentioning

confidence: 99%

A Two Stage Intrusion Detection System for Industrial Control Networks Based on Ethernet/IP

Wang

Song

2019

Electronics

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“…In 2014, Wagh et al [26] suggested Network security is a very important aspect of internet enabled systems in the present world scenario. According to the authors due to intricate chain of computers the opportunities for intrusions and attacks have increased.…”

Section: Literature Surveymentioning

confidence: 99%

An approach for efficient intrusion detection for KDD dataset: A survey

Sharma¹,

Gaur²

2016

IJATEE

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“…In 2014, Wagh et al [22] proposed Network security is a key a portion of web enabled systems in the present world circumstance. According to the makers as a result of confusing chain of PCs the open entryways for intrusions and strikes have extended.…”

Section: Literature Surveymentioning

confidence: 99%