BLATTA: Early Exploit Detection on Network Traffic with Recurrent Neural Networks

المؤلفون المشاركون

Pratomo, Baskoro A.
Burnap, Pete
Theodorakopoulos, George

المصدر

Security and Communication Networks

العدد

المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-15، 15ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2020-08-04

دولة النشر

مصر

عدد الصفحات

15

التخصصات الرئيسية

تكنولوجيا المعلومات وعلم الحاسوب

الملخص EN

Detecting exploits is crucial since the effect of undetected ones can be devastating.

Identifying their presence on the network allows us to respond and block their malicious payload before they cause damage to the system.

Inspecting the payload of network traffic may offer better performance in detecting exploits as they tend to hide their presence and behave similarly to legitimate traffic.

Previous works on deep packet inspection for detecting malicious traffic regularly read the full length of application layer messages.

As the length varies, longer messages will take more time to analyse, during which time the attack creates a disruptive impact on the system.

Hence, we propose a novel early exploit detection mechanism that scans network traffic, reading only 35.21% of application layer messages to predict malicious traffic while retaining a 97.57% detection rate and a 1.93% false positive rate.

Our recurrent neural network- (RNN-) based model is the first work to our knowledge that provides early prediction of malicious application layer messages, thus detecting a potential attack earlier than other state-of-the-art approaches and enabling a form of early warning system.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Pratomo, Baskoro A.& Burnap, Pete& Theodorakopoulos, George. 2020. BLATTA: Early Exploit Detection on Network Traffic with Recurrent Neural Networks. Security and Communication Networks،Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1208609

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Pratomo, Baskoro A.…[et al.]. BLATTA: Early Exploit Detection on Network Traffic with Recurrent Neural Networks. Security and Communication Networks No. 2020 (2020), pp.1-15.
https://search.emarefa.net/detail/BIM-1208609

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Pratomo, Baskoro A.& Burnap, Pete& Theodorakopoulos, George. BLATTA: Early Exploit Detection on Network Traffic with Recurrent Neural Networks. Security and Communication Networks. 2020. Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1208609

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1208609