Zobrazeno 1 - 10
of 1 454
pro vyhledávání: '"Darknet"'
Autor:
Barratt, Monica J., Coomber, Ross, Kowalski, Michala, Aldridge, Judith, Munksgaard, Rasmus, Ferris, Jason, Malm, Aili, Martin, James, Décary-Hétu, David
Publikováno v:
Drugs, Habits and Social Policy, 2024, Vol. 25, Issue 1, pp. 6-18.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/DHS-11-2023-0043
Publikováno v:
Crime Science, Vol 13, Iss 1, Pp 1-10 (2024)
Abstract Amid the global opioid crisis, the volume of drug trade via darknet markets has risen to an all-time high. The steady increase can be explained by the reliable operation of darknet markets, affected by community-building trust factors reduci
Externí odkaz:
https://doaj.org/article/8d4b1637c25e4090877f256e3a2ce1e7
Autor:
Son Pham Anh, Yasuhiro Nakamura
Publikováno v:
IEEE Access, Vol 12, Pp 103789-103809 (2024)
In recent years, with the advancement of information technology and digital transformation, the number of IoT devices has been rapidly increasing. Despite efforts to raise awareness and encourage users to enhance security for these IoT devices, a lar
Externí odkaz:
https://doaj.org/article/9ac613319a1e46f6a579a69cc3b6b0b2
Autor:
Antony Pradeep C, Geraldine Bessie Amali D, Mathew Mithra Noel, Muhammad Rukunuddin Ghalib, Prabhakar Rontala Subramaniam, Chitra Venugopal
Publikováno v:
International Journal of Cognitive Computing in Engineering, Vol 5, Iss , Pp 58-65 (2024)
The Darknet is an anonymous, encrypted collection of websites, with a passive listening nature - accepting incoming packets, while not supporting outgoing packets. Thus, it can potentially host criminal or malicious activity and software, becoming a
Externí odkaz:
https://doaj.org/article/6b85dac2e77641819796c9ffc993ef12
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
Detecting plant leaf diseases accurately and promptly is essential for reducing economic consequences and maximizing crop yield. However, farmers’ dependence on conventional manual techniques presents a difficulty in accurately pinpointing particul
Externí odkaz:
https://doaj.org/article/3cedd06d668a40daa7b9a94dc45006db
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 16, Iss 1, Pp 1-29 (2023)
Abstract Object detection is a critical and complex problem in computer vision, and deep neural networks have significantly enhanced their performance in the last decade. There are two primary types of object detectors: two stage and one stage. Two-s
Externí odkaz:
https://doaj.org/article/8cef36c64605405d919c468a4feac53f
Publikováno v:
International Journal of Law and Management, 2023, Vol. 65, Issue 3, pp. 261-282.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJLMA-09-2022-0206
Publikováno v:
Electronic Research Archive, Vol 31, Iss 89, Pp 5056-5082 (2023)
Darknet traffic classification is significantly important to network management and security. To achieve fast and accurate classification performance, this paper proposes an online classification model based on multimodal self-attention chaotic mappi
Externí odkaz:
https://doaj.org/article/f7c14d97497647a69d0cdd210eff75bc
CDBC: A novel data enhancement method based on improved between-class learning for darknet detection
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 8, Pp 14959-14977 (2023)
With the development of the Internet, people have paid more attention to privacy protection, and privacy protection technology is widely used. However, it also breeds the darknet, which has become a tool that criminals can exploit, especially in the
Externí odkaz:
https://doaj.org/article/91d4376834e144e294078675a6ab800e
Publikováno v:
Heliyon, Vol 9, Iss 11, Pp e22269- (2023)
The Darkweb, part of the deep web, can be accessed only through specialized computer software and used for illegal activities such as cybercrime, drug trafficking, and exploitation. Technological advancements like Tor, bitcoin, and cryptocurrencies a
Externí odkaz:
https://doaj.org/article/89bf555ac9d1496da08a7599d1f3f6df