Results 111 to 120 of about 2,792,578 (290)
Background: Tampering is an illegal manipulation of Arabian (dromedary) camels for cosmetic purposes and to increase their market value. Because of the tremendous prizes awarded to the owners of the winning camels, methods of illegal tampering were ...
Mohamed Tharwat, Abdulla Al-Hawas
doaj +1 more source
ABSTRACT The application of circular economy, which aims to maximize efficiency and reduce waste, to renewable energy sources necessitates, given the intermittent nature of the latter, robust energy storage solutions to ensure grid stability and avoid wasting energy.
Ó. Martín‐Llorente +4 more
wiley +1 more source
Hash-Tree Anti-Tampering Schemes [PDF]
Procedures that provide detection, location and correction of tampering in documents are known as anti-tampering schemes. In this paper we describe how to construct an anti-tampering scheme using a pre-computed tree of hashes.
Ashman, Helen, Moss, Ben
core
Smuggling Sovereignty: Trade, Transgression, and State Authority
ABSTRACT Global supply chains are saturated with transgressions—corruption, smuggling, document forgery, and other practices that blur the line between legality and illegality. States do not merely endure these practices; they actively shape the conditions for them, producing the very illegal systems they then claim to police.
Dejana Kostić
wiley +1 more source
4KSecure: A Universal Method for Active Manipulation Detection in Images of Any Resolution
This paper presents a method for actively safeguarding image integrity based on embedding a hidden signature generated by a neural network. The proposed solution utilizes two cooperating networks: the first one is responsible for generating a signature ...
Paweł Duszejko, Zbigniew Piotrowski
doaj +1 more source
Quantum Machine Learning for Cybersecurity: A Taxonomy and Future Directions
ABSTRACT Context The rapid increase in cyber threats, coupled with increasingly sophisticated attack strategies and the exponential growth of data in recent years, has exposed significant limitations in classical machine learning, rule‐based, and signature‐based defense mechanisms.
Siva Sai +5 more
wiley +1 more source
Existing artifact-based tampering detection methods face limitations when dealing with secondarily edited images. To address this, this paper proposes a novel semantic-based approach for detecting tampering in bilingual scene text images. Unlike existing
Jingzhe Sun, Zhenjiang Li, Shu Wang
core +1 more source
A Semi‐Quantitative Methodology for Chemical Process Resilience Assessment
A new semi‐quantitative framework is proposed for process resilience assessment. Safety/security, productivity, and quality are integrated into the resilience evaluation. Dynamic simulations are used to quantify resilience as a time‐dependent system response.
Tommaso Capomagi +2 more
wiley +1 more source
Detection of Tampering in Image Using Watermarking
In the last few years there is a tremendous development in the area of high quality digital camera technology. So our life is full of the use of these digital images.
Nidhi Patel, Narendra Limbad
core
ANANet - MAASNet: A Dual-Stage Framework for Image Tampering Detection and Localization [PDF]
Tampering localization and detection are increasingly indispensable steps with the increasing use of sophisticated manipulation techniques. Herein, we present a two-stage approach that involves Adaptive Noise-Aware Neural Network (ANANet) as ...
MR. PRINCE JOY, DR. B. JAYANTHI
core +1 more source

