Generative AI in the Deep Internet: Treat and Counter Measures for the Next Generation Resilience

Ashwin Sharma; Deepak Kejriwal; Anil Kumar Pakina

doi:10.71097/IJAIDR.v14.i1.1377

Generative AI in the Deep Internet: Treat and Counter Measures for the Next Generation Resilience

Author(s)	Ashwin Sharma, Deepak Kejriwal, Anil Kumar Pakina
Country	India
Abstract	Generative artificial intelligence evolution has produced an innovative digital creative period that delivers significant advantages in content generation as well as healthcare design and educational and medical domains. Fictitious texts from GPT as well as visuals from StyleGAN run as models have begun to spread across clandestine parts of the internet which include both deep and dark web networks. Generative AI finds its primary domain in criminal operations and extremist group usage within the deep internet because this encrypted area provides hiding spaces for illegal purposes. These tools enable users to make fake media with hyper-realistic quality while allowing them to propagate disinformation at large scales and execute complex phishing attacks and develop malicious programs as well as fabricate synthetic identities. Generative AI combined with the deep internet poses many different attack risks that standard security systems cannot stop. This convergence presents a dangerous condition because criminals gain the power to make cyberattacks more personalized as well as fully automated. Machine-generated cyberattacks become smarter through context-awareness and understanding of different cultures which makes them more successful than previous threats. AI tools help cybercriminals generate realistic phishing communications together with fake news material and deepfakes that no one can differentiate from authentic published work. AI tools find distribution through cybercrime forums that establish a marketplace for their abusive usage. AI malware has transformed into polymorphic forms which modify its structure at eachentai to escape detection systems. The encryption infrastructure at the deep internet level hides criminal activities from basic forms of detection because it operates through hidden networks. Our cybersecurity methods and legal requirements need strong adjustments to protect computer networks from AI-generated threats which require us to modify our security standards immediately. A new resilience framework needs technology-driven features that meet ethical protection standards. The detection systems need technical upgrades to combine_AI learning methods with metadata findings plus anomaly monitoring to spot synthetic actions in real time. Federated learning systems allow distributed security information sharing among decentralized networks in an approach that safeguards data privacy of users. Putting digital watermarks on content records using blockchain technology lets XAI show clear evidence to help find original content in plain view of fake versions. The regulations must include measures that control the development and deployment of generative AI with focus on protected encrypted areas as well as anonymous platforms. People across different borders and sectors need to work together through official-private agreements to teach digital safety effectively to all Internet users. The analysis examines the twofold possible use of generative AI during deep internet investigations and reveals advancing threats while defining actions to protect digital society from harm.
Field	Engineering
Published In	Volume 14, Issue 1, January-June 2023
Published On	2023-05-11
Cite This	Generative AI in the Deep Internet: Treat and Counter Measures for the Next Generation Resilience - Ashwin Sharma, Deepak Kejriwal, Anil Kumar Pakina - IJAIDR Volume 14, Issue 1, January-June 2023. DOI 10.71097/IJAIDR.v14.i1.1377
DOI	https://doi.org/10.71097/IJAIDR.v14.i1.1377
Short DOI	https://doi.org/g9f7ms

View / Download PDF File

doi

CrossRef DOI is assigned to each research paper published in our journal.

IJAIDR DOI prefix is
10.71097/IJAIDR

Downloads

Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 15 Isu 2 Cover Page Vol 15 Isu 1 Cover Page Vol 14 Isu 2

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA

About IJAIDR Fees & Payment Current Issue Publication Archive	Submit Research Paper Track Submission Status Publication Guidelines Publication Ethics Peer Review & Plagiarism	Join as a Reviewer Editors & Reviewers Reviewer Referral Program Get Reviewer Membership Certi.	Website/Journal Policies Usage Policy Content Policies Privacy Policy

Contact Us	Message on WhatsApp	+91-9687-182-185	editor@ijaidr.com

Journal of Advances in Developmental Research

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Generative AI in the Deep Internet: Treat and Counter Measures for the Next Generation Resilience

Share this