Results 21 to 30 of about 789 (252)

Two improved forensic methods of detecting contrast enhancement in digital images [PDF]

, 2014
Contrast enhancements, such as histogram equalization or gamma correction, are widely used by malicious attackers to conceal the cut-and-paste trails in doctored images.
Xufeng Lin, Lin, Xufeng, Chang-Tsun Li, Xingjie Wei, Wei, Xingjie, Li, Chang-Tsun   +5 more
core   +1 more source

Cryptanalysis of Two Signature Schemes for IoT-Based Mobile Payments and Healthcare Wireless Medical Sensor Networks

IEEE Access, 2020
Certificateless cryptography does not require any certificate for the public key authentication and users' public keys are transmitted with ciphertext/signatures or by making them available in the IoT-based public directory in a proper way.
Kyung-Ah Shim
doaj   +1 more source

UMMAFormer: A Universal Multimodal-adaptive Transformer Framework for Temporal Forgery Localization

Proceedings of the 31st ACM International Conference on Multimedia, 2023
11 pages, 8 figures, 66 references.
Rui Zhang, Hongxia Wang, Mingshan Du, Hanqing Liu, Yang Zhou, Qiang Zeng   +5 more
openaire   +2 more sources

Signcryption schemes with insider security in an ideal permutation model

Journal of Mathematical Cryptology, 2019
Signcryption aims to provide both confidentiality and authentication of messages more efficiently than performing encryption and signing independently. The “Commit-then-Sign & Encrypt” (CtS&E) method allows to perform encryption and signing in parallel ...
Bansal Tarun Kumar, Boyen Xavier, Pieprzyk Josef   +2 more
doaj   +1 more source

Twisted Polynomials and Forgery Attacks on GCM [PDF]

, 2015
Polynomial hashing as an instantiation of universal hashing is a widely employed method for the construction of MACs and authenticated encryption (AE) schemes, the ubiquitous GCM being a prominent example.
Andrey Bogdanov, Elmar Tischhauser, Tischhauser, Elmar Wolfgang, Mohamed Ahmed Abdelraheem, Bogdanov, Andrey, Peter Beelen, Abdelraheem, Mohamed Ahmed A. M. A., Beelen, Peter   +7 more
core   +1 more source

A Novel Approach to Detect Copy Move Forgery using Deep Learning

, 2022
With the development of readily available image editing tools, manipulating an image has become a universal issue. To check the authenticity, it is necessary to identify how various images might be forged and the way they might be detected using various ...
Punj, Deepika ; Computer Engineering Department, J C Bose University of Science and Technology, YMCA, Faridabad, 121 006 Haryana, India, Pillai, Anuradha ; Computer Engineering Department, J C Bose University of Science and Technology, YMCA, Faridabad, 121 006 Haryana, India, Mamta; Computer Engineering Department, J C Bose University of Science and Technology, YMCA, Faridabad, 121 006 Haryana, India   +2 more
core   +2 more sources

DNA: Uncovering Universal Latent Forgery Knowledge

CoRR
As generative AI achieves hyper-realism, superficial artifact detection has become obsolete. While prevailing methods rely on resource-intensive fine-tuning of black-box backbones, we propose that forgery detection capability is already encoded within pre-trained models rather than requiring end-to-end retraining.
Jingtong Dou, Chuancheng Shi, Yemin Wang, Shiming Guo, Anqi Yi, Wenhua Wu, Li Zhang, Fei Shen, Tat-Seng Chua   +8 more
openaire   +2 more sources

Quantum forgery attacks against OTR structures based on Simon's algorithm

, 2023
Classical forgery attacks against Offset Two-round (OTR) structures require some harsh conditions, such as some plaintext and ciphertext pairs need to be known, and the success probability is not too high.
Li, Zixian, Wang, Mengting, Liu, Wenjie
core   +1 more source

Influence of Test Temperature and Test Frequency on Fatigue Life of Aluminum Alloy EN AW‐2618A

Advanced Engineering Materials, EarlyView.
The influence of test temperature and test frequency on the fatigue life of EN AW‐2618A is investigated. High‐cycle fatigue tests are performed at different test temperatures and frequencies on the 1000 h/230°C overaged state. Both test parameters reduce fatigue life due to time‐dependent damage mechanisms.
Ying Han, Julian M. Rosalie, Jan Radners, Mauro Madia, Philipp von Hartrott, Birgit Skrotzki   +5 more
wiley   +1 more source

Deep Learning Inverse Design of Phase‐Change Reconfigurable Terahertz Metadevices for Multidimensional Secure Communication

Advanced Materials, EarlyView.
A deep learning inverse‐design framework is established to create versatile reconfigurable terahertz metadevices. By synergizing deep learning with phase‐change materials, this approach enables on‐demand customization of multidimensional electromagnetic responses.
Yisheng Dong, Xieyu Chen, Aarthy Nagarajan, Yi Yang, Zhihao Wang, Rui Yu, Chuang Zheng, Chunmei Ouyang, Xueqian Zhang, Tun Cao, Ranjan Singh, Zhen Tian   +11 more
wiley   +1 more source