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Journal of Artificial Intelligence Research & Advances

joaira | E-ISSN: 2395-6720 | Peer-Reviewed | Hybrid

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About the Journal

Journal of Artificial Intelligence Research & Advances [2395-6720(e)] is a peer-reviewed hybrid Journal launched in 2014 that investigates the role of artificial intelligence in this rapidly progressing and challenging environment. This journal provides a rich, multidisciplinary platform for current Research and development and discusses existing and emerging theoretical and applied problems in the rapidly evolving area of intelligent computing.

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Journal of Artificial Intelligence Research Advances (JOAIRA): 2395-6720(e) is a peer-reviewed hybrid open-access journal launched in 2014 that investigates the role of

Journal Information

Title:
Journal of Artificial Intelligence Research Advances
Abbreviation:
JOAIRA
Issues Per Year:
3 Issues (Jan-April,May-August,Sept-Dec)
P-ISSN:
2395-6720
Publisher:
116314
DOI:
10.37591/JOAIRA
Starting Year:
2014
Subject:
Language:
English
Publication Format:
Hybrid Open Access
Copyright Policy:
CC BY-NC-ND
Type:
Peer-reviewed Journal (Refereed Journal)
Address:

Editorial Board

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joaira maintains an Editorial Board of practicing researchers from around the world, to ensure manuscripts are handled by editors who are experts in the field of study.

Editor in Chief

Editor

Prof. Gunasekaran Gurusamy, Professor, Dean—Freshman Engineering

Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Tamil Nadu, India, 600062

Email :

Institutional Profile Link:

Journal: Journal of Artificial Intelligence Research & Advances

Latest Articles

A Review of AI-Based Intrusion Detection Systems for Mobile Ad Hoc Networks (MANETs)

Mobile Ad Hoc Networks (MANETs) comprise wireless networks that lack any conventional infrastructure .

MANET, Intrusion Detection System, Machine Learning, Deep Learning, Network Security, Artificial Intelligence

The Synthetic Media Threat: Generative AI and Deepfake Technology enabled Synthetic Media as Emerging Vectors of Cyberterrorism

Cyberterrorism for most part of its academic and general understanding has been known and studied through conventional way such as a) malware deployment b)denial of essential services c) attacks on critical infrastructure, however with rapid changes in information technology as well as recent swift proliferation of generative artificial intelligence and deep fake technologies a completely new and unexamined dimension of threat vector has emerged, further expanding the threat areas are convergence of these two technology which can enable a operator of a cyber-terror campaign even with a very little technical knowledge a chance to deliver a serious threat by using generated synthetic media which can take any form across modality such as a)written text b)Images c)Audios and videos it allows it to happen with high fidelity, while being highly cost effective hence becoming a very potent and dangerous category of cyberterrorism vector it also dramatically lowers the technical barrier to entry for malicious actors.

Cyberterrorism, deepfakes, generative AI, large language models, disinformation, synthetic media, critical infrastructure, national security

The Synthetic Media Threat: Generative AI and Deepfake Technology enabled Synthetic Media as Emerging Vectors of Cyberterrorism

Cyberterrorism for most part of its academic and general understanding has been known and studied through conventional way such as a) malware deployment b)denial of essential services c) attacks on critical infrastructure, however with rapid changes in information technology as well as recent swift proliferation of generative artificial intelligence and deep fake technologies a completely new and unexamined dimension of threat vector has emerged, further expanding the threat areas are convergence of these two technology which can enable a operator of a cyber-terror campaign even with a very little technical knowledge a chance to deliver a serious threat by using generated synthetic media which can take any form across modality such as a)written text b)Images c)Audios and videos it allows it to happen with high fidelity, while being highly cost effective hence becoming a very potent and dangerous category of cyberterrorism vector it also dramatically lowers the technical barrier to entry for malicious actors.

Cyberterrorism, deepfakes, generative AI, large language models, disinformation, synthetic media, critical infrastructure, national security

The Synthetic Media Threat: Generative AI and Deepfake Technology enabled Synthetic Media as Emerging Vectors of Cyberterrorism

Cyberterrorism for most part of its academic and general understanding has been known and studied through conventional way such as a) malware deployment

Cyberterrorism, deepfakes, generative AI, large language models, disinformation, synthetic media, critical infrastructure, national security

Leveraging Standards and Deep Learning Approaches to Secure Internet of Things (IoT) Devices from Cyber Attack

The widespread adoption of Internet of Things (IoT) devices between 2019 and 2024 has significantly grows in various sectors in Japan, including healthcare, manufacturing, and the development of smart cities.

IoT Security, Convolutional Neural Networks, Long Short-Term Memory, AI Driven Security, DDoS Attacks, Intrusion Detection Systems, Smart Cities

​​​I​ntelligent Systems: A study on AI and Machine learning

Artificial Intelligence (AI) and Machine Learning (ML) are dynamic branches of computer science that focus on developing systems capable of executing tasks commonly associated with human intelligence.

Artificial Intelligence, Machine Learning, Bias, Supervised Learning, Unsupervised Learning

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