Results 61 to 70 of about 22,040,867 (216)
Survey on Visualization of Information Diffusion over Networks
Computer Graphics Forum, EarlyView.Abstract Information Diffusion (ID) describes how a value (e.g., a pathogen, a rumor, a packet) spreads through an underlying “medium” network of elements (e.g., a social or computer network). Understanding the information diffusion process is essential to predicting trends, controlling misinformation, and enhancing decision‐making as well as ...
T. Baumgartl +8 more
wiley +1 more source
Anti-analysis trends in banking malware
, 2016 Banking Malware, has become a popular and ever more prevalent mechanism to monetise malware development. Since the development of the Zeus malware kit in 2007, the frequency and complexity of banking malware has been increasing.
Black, Paul +3 more
core +1 more source
Demystifying Malware Image Visualization: Enhancing Reproducibility and Explainability [PDF]
, 2023 openL'aumento persistente dei malware riscontrati nel mondo digitale ha rappresentato un ostacolo continuo per i ricercatori nell'ambito della sicurezza informatica, dall'avvento dei personal computer fino ai giorni nostri.
BROSOLO, MATTEO
core
Applied Sciences, 2022 As a result of the rapid advancement of mobile and internet technology, a plethora of new mobile security risks has recently emerged. Many techniques have been developed to address the risks associated with Android malware.
Abimbola G. Akintola +9 more
doaj +1 more source
Cyberattacks on Small Banks and the Impact on Local Banking Markets
Journal of Money, Credit and Banking, EarlyView.Abstract Cyberattacks on small banks have direct and spillover effects in local markets. Following successful cyberattacks, hacked small banks experience a decline in deposit growth rates. This effect of cyberattacks is not observed in hacked large banks.
FABIAN GOGOLIN +2 more
wiley +1 more source
Efficiency of Machine Learning Methods in Information Security Audit Tasks: A Comparative Analysis
Applied Research, Volume 5, Issue 5, October 2026.Machine learning methods enable accurate identification of processor instruction architectures from byte‐frequency characteristics of executable files. Among the evaluated models, Linear SVC achieved the highest classification performance, demonstrating the potential of AI‐driven approaches for automated information security auditing and digital ...
Z. B. Mukhtarova +5 more
wiley +1 more source
Concurrency and Computation: Practice and Experience, Volume 38, Issue 19, October 2026.ABSTRACTThis work presents a privacy‐preserving remote healthcare system that integrates blockchain technology with a root seed‐based pseudonymization mechanism and lightweight cryptographic controls. Addressing the privacy risks of public ledgers and the limited computational resources of medical IoT devices, the proposed system focuses strictly on ...
Hoc Minh Le, Özgür Öksüz
wiley +1 more source
Malware's Impact on e-Business & m-Commerce: they mean business! [PDF]
, 2009 Malware is a dominant issue in the e-Business arena. It is affecting many of the key e-Business actors from the end users, to businesses offering online services to intermediaries and critical essential infrastructure needed to ensure continued e ...
Fung, C.C., Pan, J.Y.
core
IoT Malware Detection Based on OPCODE Purification
, 2023 Malware threat for Internet of Things (IoT) devices is increasing day by day. The constrained nature of IoT devices makes it impossible to apply high-resource-demand ing anti-malware tools for these devices.
Kılınç, Hacı Hakan +9 more
core +1 more source
MalQwen: Fine Tuned LLM for Static Android Malware Analysis Report
IEEE AccessThe Android operating system continues to face escalating security challenges, primarily due to its open-source nature and the rapid proliferation of applications from untrusted sources.
Tegar Ganang Satrio Priambodo +7 more
doaj +1 more source