Intellectual property protection for FPGA designs using the public key cryptography

Huang, Weihong; Li, Renfa; Xu, Jianbo; Huang, Yin; Hosam, Osama

doi:10.1177/1687814019836838

Cited by 6 publications

(3 citation statements)

References 23 publications

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“…(ii) The combination of cryptography with digital watermarking techniques is another way to enhance IP protection. For instance, Huang et al propose to use public key cryptography to encrypt the watermark's position, rendering it robust against unauthorized modifications or attacks by malicious individuals [80].…”

Section: A Ip Protection and Regulation Methods In Aigcmentioning

confidence: 99%

A Survey on ChatGPT: AI–Generated Contents, Challenges, and Solutions

Wang¹,

Pan²,

Yan³

et al. 2023

IEEE Open J. Comput. Soc.

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With the widespread use of large artificial intelligence (AI) models such as ChatGPT, AI-generated content (AIGC) has garnered increasing attention and is leading a paradigm shift in content creation and knowledge representation. AIGC uses generative large AI algorithms to assist or replace humans in creating massive, high-quality, and human-like content at a faster pace and lower cost, based on user-provided prompts. Despite the recent significant progress in AIGC, security, privacy, ethical, and legal challenges still need to be addressed. This paper presents an in-depth survey of working principles, security and privacy threats, state-of-the-art solutions, and future challenges of the AIGC paradigm. Specifically, we first explore the enabling technologies, general architecture of AIGC, and discuss its working modes and key characteristics. Then, we investigate the taxonomy of security and privacy threats to AIGC and highlight the ethical and societal implications of GPT and AIGC technologies. Furthermore, we review the state-of-the-art AIGC watermarking approaches for regulatable AIGC paradigms regarding the AIGC model and its produced content. Finally, we identify future challenges and open research directions related to AIGC.

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Section: A Ip Protection and Regulation Methods In Aigcmentioning

confidence: 99%

A Survey on ChatGPT: AI–Generated Contents, Challenges, and Solutions

Wang¹,

Pan²,

Yan³

et al. 2023

IEEE Open J. Comput. Soc.

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show abstract

“…A prime outline of an open cloud is Microsoft Purplish blue. [20], [21], [34], [47] 2) Private cloud: Computing resources utilized only by users from a single company or organization make up a private cloud. It may be physically situated at the on-site data center of your company, or it may be facilitated by a distinctive benefit supplier.…”

Section: Reviewmentioning

confidence: 99%

Comprehensive Study of The Cloud Computing Service Providers

Alhosani¹,

Hosameldeen²

2023

Preprint

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Whether it’s cellphones, personal computers, or gaming consoles, technology is a part of everyone’s everyday lives, and storage is frequently a problem. One of the solutions we have for this difficulty is the on-demand accessibility of computer framework assets, which enables cloud storage and makes it accessible in any format and from any device. It is a major benefit of cloud computing. Amazon Web Administrations (or basically AWS) may be a secure cloud services stage advertising about everything businesses ought to construct advanced applications with adaptability, versatility, and unwavering quality. Another advantage is that it is significantly less expensive than purchasing items with comparable functionality, such as an SSD storage device. For many enterprises, it is also preferable to host their servers in the cloud using services like Google Cloud and Oracle Cloud. Our main topic of the paper is to compare three different major cloud computing services—AWS, Google, and Azure. Since there are different types of cloud computing services available, we would compare them to determine which is best for usage by individuals or organizations. We can also look at the services’ shared features and unique aspects that they provide to consumers.

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“…Use of Technology Governments are leading the list of customers of this technology, which amounts to about $ 4 billion, namely government agencies that deal with collective identification systems such as prisons, airports, vehicle licensing authorities, and, of course, police. This technique is used in Mexico to prevent fraud during voting [31].…”

Section: Introductionmentioning

confidence: 99%

Crime Detection and Suspect Identification System

Hosameldeen¹,

Alhammadi²,

SALEHI³

2023

Preprint

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—The number of ATMs in various countries is increasing steadily and rapidly with the number of users increasing very widely. On the other hand, banks have become more interested in finding the best procedures to combat ATM crimes to ensure the safety and security of their customers and other cardholders. This has become an excellent target for some criminals or fraudsters, despite the limited amounts that can be withdrawn from these devices, given a maximum daily limit. We aim at implementing this system inside bank ATMs in order to detect objects like guns, hammers, and knives. Once the suspicious objects and actions are detected, we perform facial recognition to identify whether the suspect is a repeating offender. We use object, face, and action recognition algorithms to achieve our objective. Results showed that using our proposed algorithm is efficient in detecting threatening objects

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Intellectual property protection for FPGA designs using the public key cryptography

Cited by 6 publications

References 23 publications

A Survey on ChatGPT: AI–Generated Contents, Challenges, and Solutions

A Survey on ChatGPT: AI–Generated Contents, Challenges, and Solutions

Comprehensive Study of The Cloud Computing Service Providers

Crime Detection and Suspect Identification System

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