Results 111 to 120 of about 4,798,065 (291)
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
A Technique for the Detection of PDF Tampering or Forgery
19 Pages, 5 figures, published in Online Proceedings of the South African Institute of Computer Scientists and Information Technologists 2024 Conference, ISSN 2959 ...
Gabriel Grobler +2 more
openaire +2 more sources
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
Prefix oriented N4WA coding scheme for improved tampering detection in relational data
In this paper, a memory efficient N4WA coding scheme (breifed in section 3.1) ispresented to detect tampering and restoring modified data values in relational data.The existing watermarking schemes for tampering detection do not provide ...
Waqas Haider +4 more
doaj
ABSTRACT Small and medium‐sized enterprises (SMEs) face significant institutional barriers when expanding across borders, including regulatory constraints, financial accessibility issues, and market entry challenges. Institutional theory provides a useful framework for understanding how external regulative, normative, and cognitive institutional forces
Sharmin Nahar, Muntasir Alam
wiley +1 more source
Worldwide, transportation agencies have been involved in road mitigation efforts to reduce road mortality and promote connectivity of endangered species. Baseline data on how mammals respond to highway construction, however, are rarely collected in road mitigation and monitoring studies, including in the USA.
Thomas J. Yamashita +4 more
wiley +1 more source
Abstract Internet of Medical Things (IoMT) has typical advancements in the healthcare sector with rapid potential proof for decentralised communication systems that have been applied for collecting and monitoring COVID‐19 patient data. Machine Learning algorithms typically use the risk score of each patient based on risk factors, which could help ...
Chandramohan Dhasaratha +9 more
wiley +1 more source
Graph neural network‐based attack prediction for communication‐based train control systems
Abstract The Advanced Persistent Threats (APTs) have emerged as one of the key security challenges to industrial control systems. APTs are complex multi‐step attacks, and they are naturally diverse and complex. Therefore, it is important to comprehend the behaviour of APT attackers and anticipate the upcoming attack actions.
Junyi Zhao +3 more
wiley +1 more source
A secured cloud‐medical data sharing with A‐BRSA and Salp ‐Ant Lion Optimisation Algorithm
Abstract Sharing medical data among healthcare providers, researchers, and patients is crucial for efficient healthcare services. Cloud‐assisted smart healthcare (s‐healthcare) systems have made it easier to store EHRs effectively. However, the traditional encryption algorithms used to secure this data can be vulnerable to attacks if the encryption key
Adel Binbusayyis +7 more
wiley +1 more source
Abstract Graph neural networks (GNNs) have revolutionised the processing of information by facilitating the transmission of messages between graph nodes. Graph neural networks operate on graph‐structured data, which makes them suitable for a wide variety of computer vision problems, such as link prediction, node classification, and graph classification.
Amit Sharma +4 more
wiley +1 more source

