4.7 Article

A hybrid deep learning based intrusion detection system using spatial-temporal representation of in-vehicle network traffic

Related references

Note: Only part of the references are listed.
Article Computer Science, Theory & Methods

Cyberattacks and Countermeasures for In-Vehicle Networks

Emad Aliwa et al.

Summary: The increasing connectivity within vehicles has raised concerns about safety and security, especially regarding automotive serial protocols like CAN Bus. Current security mechanisms focus on encryption, authentication, and IDS, but face limitations due to constraints like low bandwidth and real-time sensitivity. Future research needs to address these limitations and challenges in order to improve the security of connected vehicles.

ACM COMPUTING SURVEYS (2021)

Article Computer Science, Hardware & Architecture

An intelligent algorithmically generated domain detection system

Kutub Thakur et al.

Summary: The intelligent system IDGADS is capable of quickly detecting algorithmically generated domains with 99% accuracy based on easy-to-compute features of real domain name system (DNS) traffic. It can serve as the first line of defense in a security stack for validating DNS queries.

COMPUTERS & ELECTRICAL ENGINEERING (2021)

Article Computer Science, Artificial Intelligence

Deep packet: a novel approach for encrypted traffic classification using deep learning

Mohammad Lotfollahi et al.

SOFT COMPUTING (2020)

Article Computer Science, Hardware & Architecture

An improved ensemble approach for effective intrusion detection

Gulshan Kumar

JOURNAL OF SUPERCOMPUTING (2020)

Article Engineering, Civil

A Survey of Intrusion Detection for In-Vehicle Networks

Wufei Wu et al.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2020)

Article Computer Science, Artificial Intelligence

Recent advances in convolutional neural networks

Jiuxiang Gu et al.

PATTERN RECOGNITION (2018)

Article Computer Science, Information Systems

Network Traffic Classifier With Convolutional and Recurrent Neural Networks for Internet of Things

Manuel Lopez-Martin et al.

IEEE ACCESS (2017)

Article Computer Science, Hardware & Architecture

Safety Decidability for Pre-Authorization Usage Control with Finite Attribute Domains

P. V. Rajkumar et al.

IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING (2016)

Article Computer Science, Artificial Intelligence

A Primer on Neural Network Models for Natural Language Processing

Yoav Goldberg

JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH (2016)

Article Multidisciplinary Sciences

Intrusion Detection System Using Deep Neural Network for In-Vehicle Network Security

Min-Joo Kang et al.

PLOS ONE (2016)

Review Computer Science, Information Systems

False alarm minimization techniques in signature-based intrusion detection systems: A survey

Neminath Hubballi et al.

COMPUTER COMMUNICATIONS (2014)

Review Computer Science, Artificial Intelligence

Representation Learning: A Review and New Perspectives

Yoshua Bengio et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2013)