Results 41 to 50 of about 5,764,266 (332)

Android Malware Detection Method Combining Multi-Frequency Features and Convolutional Neural Networks

open access: yesIEEE Access
With the rapid evolution of Android malware variants, traditional detection methods exhibit significant limitations in addressing complex patterns and adversarial attacks.
Jian Wang   +4 more
doaj   +1 more source

Enabling security checking of automotive ECUs with formal CSP models [PDF]

open access: yes, 2019
This paper presents an approach, using the process-algebra CSP, that aims to support systematic security testing of ECU components. An example use case regarding Over-The-Air software updates demonstrates the potential of our approach.
Bryans, Jeremy   +4 more
core   +1 more source

Quantum classical hybrid convolutional neural networks for breast cancer diagnosis

open access: yesScientific Reports
The World Health Organization states that early diagnosis is essential to increasing the cure rate for breast cancer, which poses a danger to women’s health worldwide.
Qiuyu Xiang   +8 more
doaj   +1 more source

xVDB: A High-Coverage Approach for Constructing a Vulnerability Database

open access: yesIEEE Access, 2022
Security patches play an important role in detecting and fixing one-day vulnerabilities. However, collecting abundant security patches from diverse data sources is not a simple task. This is because (1) each data source provides vulnerability information
Hyunji Hong   +4 more
doaj   +1 more source

Bridging the gap: Multi‐stakeholder perspectives of molecular diagnostics in oncology

open access: yesMolecular Oncology, EarlyView.
Although molecular diagnostics is transforming cancer care, implementing novel technologies remains challenging. This study identifies unmet needs and technology requirements through a two‐step stakeholder involvement. Liquid biopsies for monitoring applications and predictive biomarker testing emerge as key unmet needs. Technology requirements vary by
Jorine Arnouts   +8 more
wiley   +1 more source

Developing a User-Centric Quality Model for Gaming as a Service (GaaS): Enhancing User Satisfaction Through Key Quality Factors

open access: yesIET Software
This study presents a comprehensive and user-centric quality model for gaming as a service (GaaS), grounded in a multistage survey methodology involving pretest, postgame, and posttest evaluations.
Ameen Shaheen   +3 more
doaj   +1 more source

Secure Software Developing Recommendations

open access: yes2019 IEEE International Scientific-Practical Conference Problems of Infocommunications, Science and Technology (PIC S&T), 2019
Adverse effects on information in the functioning computer systems of various purpose is carried out in order to violate their confidentiality, integrity and accessibility. These threats arise from software vulnerabilities and result in unauthorized access to data or leakage of sensitive information To solve this problem, firstly, an analysis of the ...
Viktoria Grechko   +2 more
openaire   +2 more sources

The Effect of Security Education and Expertise on Security Assessments: the Case of Software Vulnerabilities [PDF]

open access: yes, 2018
In spite of the growing importance of software security and the industry demand for more cyber security expertise in the workforce, the effect of security education and experience on the ability to assess complex software security problems has only been ...
Allodi, Luca   +3 more
core   +2 more sources

Increased security through open source [PDF]

open access: yes, 2007
In this paper we discuss the impact of open source on both the security and transparency of a software system. We focus on the more technical aspects of this issue, combining and extending arguments developed over the years. We stress that our discussion
Anderson R.   +3 more
core   +6 more sources

Feasibility of a ctDNA multigenic panel for non‐small‐cell lung cancer early detection and disease surveillance

open access: yesMolecular Oncology, EarlyView.
Plasma‐based detection of actionable mutations is a promising approach in lung cancer management. Analysis of ctDNA with a multigene NGS panel identified TP53, KRAS, and EGFR as the most frequently altered, with TP53 and KRAS in treatment‐naïve patients and TP53 and EGFR in previously treated patients.
Giovanna Maria Stanfoca Casagrande   +11 more
wiley   +1 more source

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