International Journal of Network Security & Its Applications (IJNSA) - ERA Indexed, H Index - 52

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International Journal of Network Security & Its Applications (IJNSA) - ERA Indexed, H Index - 52

ISSN: 0974 - 9330 (Online); 0975 - 2307 (Print)

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Submission Deadline: May 22, 2026

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International Journal of Network Security & Its Applications (IJNSA)

#cyberattack #ethicalhacking #datasecurity #tech #itsecurity #internet #computerscience #server #dataprivacy #intrusion #detection #prevention #mobile #adhoc #sensor #p2p #networkmanagement #virtualmachines #vanet #socialnetwork #ddos #trust #privacy #wirelessnetwork #ubiquitouscomputing #virus #worms #trojan #hacking #ransomware #computer #datacenter #network #optimization #database #systemsecurity #spam #phishing #email #iot #internetsecurity #cloudsecurity #malware #firewall #bigdata #informationsecurity #cloudcomputing #dataprotection #networking #cloudstorage #cybercrime

International Journal of Network Security & Its Applications (IJNSA)

ISSN: 0974 - 9330 (Online); 0975 - 2307 (Print)

Over 63% of the IJNSA published articles cited.

https://www.scilit.com/sources/21484

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International Journal of Network Security & Its Applications (IJNSA)

International Journal of Network Security & Its Applications (IJNSA)

ISSN: 0974 - 9330 (Online); 0975 - 2307 (Print)

Webpage URL: https://airccse.org/journal/ijnsa.html

A Risk-Aware Deep Reinforcement Learning Framework for AI-Driven Intrusion Detection and Adaptive Response in Autonomous Vehicles

Muhammad Faisal Shafiq1, Muhammad Irshad2 and Muhammad Naveed Sajjad3, 1Lucid Motors, Saudi Arabia 2RMG Company, Saudi Arabia, 3Yanal Finance Company, Saudi Arabia

Abstract

Autonomous vehicles expose in-vehicle networks to sophisticated intrusion threats. Although deep learning-based intrusion detection systems achieve high accuracy, most approaches remain detection centric and do not address adaptive mitigation under real-time constraints. This paper proposes a multilayer AI-driven framework integrating temporal deep learning, contextual risk modeling, and deep reinforcement learning-based mitigation. A hybrid CNN–BiLSTM model captures spatial payload characteristics and bidirectional temporal dependencies in CAN sequences. Detection output feeds a risk aware formulation fusing attack probability with ECU criticality, vehicle speed, and safety indicators. A Deep Q-Network learns mitigation policies minimizing residual system damages. Evaluation on the HCRL car-hacking dataset demonstrates strong detection performance. The adaptive policy reduces average system damage cost by 54.63% compared to static monitoring. End-to-end latency of 0.0205 ms per sample satisfies real-time constraints. By integrating detection, severity modeling, and adaptive response, the proposed architecture advances intrusion detection toward intelligent cyber-physical mitigation for resilient autonomous vehicles.

Keywords

Autonomous vehicles, Controller Area Network (CAN), Intrusion Detection System (IDS), Deep Learning, CNN–BiLSTM, Risk-Aware Modeling, Deep Reinforcement Learning, Adaptive Mitigation, Cyber-Physical Security, Real-Time Systems

Abstract URL: http://aircconline.com/abstract/ijnsa/v18n2/18226ijnsa07.html

Original Source URL: https://aircconline.com/ijnsa/V18N2/18226ijnsa07.pdf

Volume URL: https://airccse.org/journal/jnsa26_current.html

International Journal of Network Security & Its Applications (IJNSA)

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Welcome To IJNSA

International Journal of Network Security & Its Applications (IJNSA) - ERA Indexed, H Index - 52

ISSN: 0974 - 9330 (Online); 0975 - 2307 (Print)

Webpage URL: https://airccse.org/journal/ijnsa.html

WikiCFP URL: http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=190234

Submission Deadline: May 16, 2026

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International Journal of Network Security & Its Applications (IJNSA) - ERA Indexed, H Index - 52

#networksecurity #artificialintelligence #machinelearning #security #blockchain #technology #cybersecurity #cloud #fog #edge #crytography #protocols #datacenter #network #optimization #database #systemsecurity #spam #phishing #email #iot #internetsecurity #intrusion #detection #prevention #mobile #adhoc #sensor #p2p #networkmanagement #virtualmachines #vanet #socialnetwork #ddos #trust #privacy #wirelessnetwork #ubiquitouscomputing #virus #worms #trojan #hacking #ransomware #computer #cloudsecurity #malware #firewall #bigdata #informationsecurity #cloudcomputing #dataprotection #networking #cloudstorage #cybercrime #cyberattack #ethicalhacking #datasecurity #tech #itsecurity #internet #computerscience #server #dataprivacy

Submit Your Research Articles...!!!

Welcome To IJNSA

International Journal of Network Security & Its Applications (IJNSA) - ERA Indexed, H Index - 52

ISSN: 0974 - 9330 (Online); 0975 - 2307 (Print)

Webpage URL: https://airccse.org/journal/ijnsa.html

Submission Deadline: May 16, 2026

Contact us:

Here's where you can reach us: ijnsa@aircconline.com (or) ijnsa@airccse.org (or) ijnsajournl@gmail.com

Submission URL: https://airccse.com/submissioncs/home.html

International Journal of Network Security & Its Applications (IJNSA) - ERA Indexed

#network #optimization #database #systemsecurity #spam #phishing #email #iot #internetsecurity #intrusion #detection #prevention #mobile #adhoc #sensor #p2p #networkmanagement #virtualmachines #vanet #socialnetwork #ddos #trust #privacy #wirelessnetwork #ubiquitouscomputing #virus #worms #trojan #hacking #ransomware #computer #cloudsecurity #malware #firewall #bigdata #informationsecurity #cloudcomputing #dataprotection #networking #cloudstorage #cybercrime #cyberattack #ethicalhacking #datasecurity #tech #itsecurity #internet #computerscience #server #dataprivacy

Welcome To IJNSA

International Journal of Network Security & Its Applications (IJNSA) - ERA Indexed, H Index - 52

ISSN: 0974 - 9330 (Online); 0975 - 2307 (Print)

Webpage URL: https://airccse.org/journal/ijnsa.html

Google Scholar URL: https://scholar.google.co.in/citations?hl=en&user=lhj_6AYAAAAJ

Citations 12335   h-index 52   i10-index 219

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7th International Conference on Machine Learning & Trends (MLT 2026)

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Welcome To MLT 2026

7th International Conference on Machine Learning & Trends (MLT 2026)

June 20 ~ 21, 2026, Sydney, Australia

Webpage URL: https://sai2026.org/mlt/index

Submission Deadline: May 09, 2026

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