17 papers · ranked by Valyu relevance
Onyeka Ezenwoye, Yi Liu
Web applications are becoming more ubiquitous. All manner of physical devices are now connected and often have a variety of web applications and web-interfaces. This proliferation of web applications has been accompanied by an increase in reported software vulnerabilities. The objective of this analysis of…
Xi Deng, Liumei Zhang, Yichuan Wang, Fanzhi Jiang + 4 more
'Jinbo Xiong' 'Periklis Chatzimisios' 'Mahmoud Daneshmand'] The detection and defense of malicious attacks are critical to the proper functioning of network security. Due to the diversity and rapid updates of the attack methods used by attackers, traditional defense mechanisms have been challenged. In this context, a…
Linxuan Song, Marisol García-Valls, Katarzyna Antosz, Jose Machado + 8 more
'Yi Ren' 'Rochdi El Abdi' 'Dariusz Mazurkiewicz' 'Marina Ranga' 'Pierluigi Rea' 'Vijaya Kumar' 'Emilia Villani' 'Erika Ottaviano'] IoT (Internet of Things) systems are complex ones that may comprise large numbers of sensing and actuating devices; and servers that store data and further configure the operation of such…
Andrei-Daniel Tudosi, Adrian Graur, Doru Gabriel Balan, Alin Dan Potorac + 3 more
'Alin Dan Potorac' 'Alessandra Rizzardi' 'Tiago Cruz' 'Paulo Alexandre Ferreira Simões'] The growing number of cyber-crimes is affecting all industries worldwide, as there is no business or industry that has maximum protection in this domain. This problem can produce minimal damage if an organization has information…
Yonghao Ni, Zhongwen Li, Xiaoqi Li
With the rapid development of Internet technologies, web systems have become essential infrastructures for modern information exchange and business operations. However, alongside their expansion, numerous security vulnerabilities have emerged, making web security a critical research focus within the broader field of…
Indushree M, Manjit Kaur, Manish Raj, Shashidhara R + 6 more
Cross channel scripting (XCS) is a common web application vulnerability, which is a variant of a cross-site scripting (XSS) attack. An XCS attack vector can be injected through network protocol and smart devices that have web interfaces such as routers, photo frames, and cameras. In this attack scenario, the network…
Zhenhui Liu, Sushank Chaudhary
To enhance the intelligent classification of computer vulnerabilities and improve the efficiency and accuracy of network security management, this study delves into the application of a comprehensive classification system that integrates the Memristor Neural Network (MNN) and an improved Temporal Convolutional Neural…
Md Habibor Rahman, Mohammed Shafae
Classification in Smart Manufacturing -- A Defense-in-Depth Driven Framework and Taxonomy Authors: ['Md Habibor Rahman' 'Mohammed Shafae'] The increasing cybersecurity threats to critical manufacturing infrastructure necessitate proactive strategies for vulnerability identification, classification, and assessment.…
Krenar Kepuska, Milo Tomasevic, Sedat Akleylek
Higher education institutions (HEIs) have a significant presence in cyberspace. Data breaches in academic institutions are becoming prevalent. Online platforms in HEIs are a new learning mode, particularly in the post-COVID era. Recent studies on information security indicate a substantial increase in cybersecurity…
Kajetan Kuszczyński, Michał Walkowski, Alessandra Rizzardi
The increasing complexity of web applications and systems, driven by ongoing digitalization, has made software security testing a necessary and critical activity in the software development lifecycle. This article compares the performance of open-source tools for conducting static code analysis for security purposes.…
Jonathan Spring
Vulnerability management strategy, from both organizational and public policy perspectives, hinges on an understanding of the supply of undiscovered vulnerabilities. If the number of undiscovered vulnerabilities is small enough, then a reasonable investment strategy would be to focus on finding and removing the…
Fabian Süß, Marco Freimuth, Andreas Aßmuth, George R. S. Weir + 1 more
'Bob Duncan'] Abstract—In recent years, Cloud Computing has transformed local businesses and created new business models on the Internet– and Cloud services are still flourishing. But after the emphatic hype in the early years, a more realistic perception of Cloud services has emerged. One reason for this surely is…
Manuel Huth, Jonas Arruda, Roy Gusinow, Lorenzo Contento + 2 more
Federated Learning (FL) is gaining traction in various fields as it enables integrative data analysis without sharing sensitive data, such as in healthcare. However, the risk of data leakage caused by malicious attacks must be considered. In this study, we introduce a novel attack algorithm that relies on being able to…
Peiqi Kang, Shuo Jiang, Peter B. Shull
Biometric-based personal identification models are generally considered to be accurate and secure because biological signals are too complex and person-specific to be fabricated, and EMG signals, in particular, have been used as biological identification tokens due to their high dimension and non-linearity. We…
Chih Chuan Shih, Jieqi Chen, Ai Shan Lee, Nicolas Bertin + 34 more
Genomic researchers are increasingly utilizing commercial cloud platforms (CCPs) to manage their data and analytics needs. Commercial clouds allow researchers to grow their storage and analytics capacity on demand, keeping pace with expanding project data footprints and enabling researchers to avoid large capital…
Aurelia Attal-Juncqua, John Getz, Ryan Morhard, Gigi Kwik Gronvall
Bioindustrial manufacturing is undergoing rapid expansion and investment and is seen as integral to nations’ economic progress. Ensuring that bioindustrial manufacturing benefits society as the field expands is of critical, urgent importance. To better understand the industry’s ethical trajectory and to shape policy…
Jeffrey Chen, Manaswitha Edupalli, Bonnie Berger, Hyunghoon Cho
Privacy-preserving algorithms for genome-wide association studies (GWAS) promise to facilitate data sharing across silos to accelerate new discoveries. However, existing approaches do not support an important, prevalent class of methods known as linear mixed model (LMM) association tests or would provide limited…