Guest Editors
Dr. Piyush Kumar Shukla, Technological University of Madhya Pradesh, India.
Dr. Li Xiang Wang, Henan Polytechnic University, China.
Dr. S B Goyal, City University of Malaysia, Malaysia.
Summary
To prevent data from being illegally downloaded, shared, or used to track and punish copyright violators, many traditional content protection technologies are used, such as encryption, Digital Rights Management (DRM), watermarking, and forensic watermarking (digital fingerprinting). Today, computers can improve & record data automatically with the help of experienced Artificial Intelligence (AI). Thus, developers working on AI-assisted systems have come forth to align AI with cryptographic techniques, Blockchain and internet-of-things (IoT) to address the wide range of privacy concerns arising out of this technological boom. AI models are usually trained by allocating significant computational resources to process massive amounts of training data. Therefore, the built models are considered the owner’s intellectual property (IP) and need to be protected to preserve the competitive advantage. Digital Rights Management (DRM) is required to protect intellectual property for collaborative working between the institutions.
Blockchain technology is widely used to design a decentralized and transparent multimedia distribution system. Here, the Blockchain works as a distributed digital ledger of cryptographically signed transactions grouped into blocks. Recently, its footprint can be observed in intellectual property or copyright protection applications The main attributes of the Blockchain technology, i.e., transparency, decentralization, reliable database, collective maintenance, trackability, security and credibility, the digital cryptocurrency, and programmable contracts—provide innovative ideas for protecting digital intellectual property and ensuring traceability, thus ensuring Digital Rights Management (DRM).
Keywords
Topics –
The aim of the proposed Special Issue is to promote research and reflect the most recent advances focused on application of advanced cryptographic techniques and Blockchain technology combined with Artificial Intelligence based Deep Learning Techniques for Digital Rights Management (DRM) and Intellectual Property Rights (IPR).
The list of topics includes, but is not limited to:
Digital Rights Management (DRM)
Intellectual Property Rights
Quantum Safe Cryptography
White/Black/Grey)-Box Cryptography
Security Issues in OTT (On The Top)
Hardware Security
Side-Channel Attacks
Location Based Security Services (LBSS)
Fault Detection in Networks
Hardware Implementation of Deep Packet Inspection
Application Layer Denial-of-Service (DoS) Attacks
IP core Security
Hardware Trojan
Fault Security
Digital Watermark in the Digital Chip
Secret Key Cryptography and its application
Public Key Cryptography and its application
Published Papers
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