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Deep learning approach to detect malicious attacks at system level: poster

Authors:

Jayesh Soni,

Nagarajan Prabakar, and

Himanshu UpadhyayAuthors Info & Claims

WiSec '19: Proceedings of the 12th Conference on Security and Privacy in Wireless and Mobile Networks

May 2019

Pages 314 - 315

https://doi.org/10.1145/3317549.3326308

Published: 15 May 2019 Publication History

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Abstract

Host based intrusion detection systems monitor operations for significant deviations from normal and healthy behavior. Anomalies are patterns in data that do not conform to the expected normal behavior. System call analysis has been conclusively established as the best method to reveal details about the program behavior. Therefore, attackers create new exploits that makes major impact at the system call level. In this research, we developed an enhanced and optimized deep learning LSTM (Long Short Term Memory) network, for anomaly detection, trained on sequences of system calls. Our model detects any anomalous behavior in the system calls with 80% accuracy.

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Bayer, Justin, Osendorfer, Christian, Chen, Nutan, Urban, Sebastian, and van der Smagt, Patrick. On fast dropout and its applicability to recurrent networks. arXiv preprint arXiv:1311.0701, 2013.

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Sutskever, Ilya, Vinyals, Oriol, and Le, Quoc VV. Sequence to sequence learning with neural networks. In Advances in Neural Information Processing Systems, pp. 3104--3112, 2014.

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Soni JPrabakar NUpadhyay H(2024)Vision Transformer-Based Emotion Detection in HCI for Enhanced InteractionIntelligent Human Computer Interaction10.1007/978-3-031-53827-8_8(76-86)Online publication date: 29-Feb-2024
https://doi.org/10.1007/978-3-031-53827-8_8
Soni J(2023)Towards Predicting the Life of an EngineHandbook of Research on AI Methods and Applications in Computer Engineering10.4018/978-1-6684-6937-8.ch023(497-513)Online publication date: 3-Mar-2023
https://doi.org/10.4018/978-1-6684-6937-8.ch023
Soni JPeddoju SPrabakar NUpadhyay H(2021)Comparative Analysis of LSTM, One-Class SVM, and PCA to Monitor Real-Time Malware Threats Using System Call Sequences and Virtual Machine IntrospectionInternational Conference on Communication, Computing and Electronics Systems10.1007/978-981-33-4909-4_9(113-127)Online publication date: 26-Mar-2021
https://doi.org/10.1007/978-981-33-4909-4_9
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Published In

WiSec '19: Proceedings of the 12th Conference on Security and Privacy in Wireless and Mobile Networks

May 2019

359 pages

ISBN:9781450367264

DOI:10.1145/3317549

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing

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Association for Computing Machinery

New York, NY, United States

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Published: 15 May 2019

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WiSec '19: 12th ACM Conference on Security and Privacy in Wireless and Mobile Networks

May 15 - 17, 2019

Florida, Miami

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Overall Acceptance Rate 98 of 338 submissions, 29%

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Soni JPrabakar NUpadhyay H(2024)Vision Transformer-Based Emotion Detection in HCI for Enhanced InteractionIntelligent Human Computer Interaction10.1007/978-3-031-53827-8_8(76-86)Online publication date: 29-Feb-2024
https://doi.org/10.1007/978-3-031-53827-8_8
Soni J(2023)Towards Predicting the Life of an EngineHandbook of Research on AI Methods and Applications in Computer Engineering10.4018/978-1-6684-6937-8.ch023(497-513)Online publication date: 3-Mar-2023
https://doi.org/10.4018/978-1-6684-6937-8.ch023
Soni JPeddoju SPrabakar NUpadhyay H(2021)Comparative Analysis of LSTM, One-Class SVM, and PCA to Monitor Real-Time Malware Threats Using System Call Sequences and Virtual Machine IntrospectionInternational Conference on Communication, Computing and Electronics Systems10.1007/978-981-33-4909-4_9(113-127)Online publication date: 26-Mar-2021
https://doi.org/10.1007/978-981-33-4909-4_9
Soni JPrabakar NUpadhyay H(2020)Visualizing High-Dimensional Data Using t-Distributed Stochastic Neighbor Embedding AlgorithmPrinciples of Data Science10.1007/978-3-030-43981-1_9(189-206)Online publication date: 9-Jul-2020
https://doi.org/10.1007/978-3-030-43981-1_9
Soni JPrabakar NUpadhyay H(2019)Behavioral Analysis of System Call Sequences Using LSTM Seq-Seq, Cosine Similarity and Jaccard Similarity for Real-Time Anomaly Detection2019 International Conference on Computational Science and Computational Intelligence (CSCI)10.1109/CSCI49370.2019.00043(214-219)Online publication date: Dec-2019
https://doi.org/10.1109/CSCI49370.2019.00043

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