Results 91 to 100 of about 134,256 (265)

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, IVAN LIM, FRANCESCO VALLASCAS   +2 more
wiley   +1 more source

An Open Source, Extensible Malware Analysis Platform

MATEC Web of Conferences, 2018
A malware (such as viruses, ransomware) is the main source of bringing serious security threats to the IT systems and their users now-adays. In order to protect the systems and their legitimate users from these threats, anti-malware applications are ...
Michalopoulos P., Ieronymakis V., Khan M.T., Serpanos D.   +3 more
doaj   +1 more source

A Survey for Deep Reinforcement Learning Based Network Intrusion Detection

Applied AI Letters, Volume 7, Issue 2, June 2026.
This paper surveys deep reinforcement learning (DRL) for network intrusion detection, evaluating model efficiency, minority attack detection, and dataset imbalance. Findings show DRL achieves state‐of‐the‐art results on public datasets, sometimes surpassing traditional deep learning.
Wanrong Yang, Alberto Acuto, Yihang Zhou, Dominik Wojtczak   +3 more
wiley   +1 more source

Security Toolbox for Detecting Novel and Sophisticated Android Malware

, 2015
This paper presents a demo of our Security Toolbox to detect novel malware in Android apps. This Toolbox is developed through our recent research project funded by the DARPA Automated Program Analysis for Cybersecurity (APAC) project.
Deering, Tom, Holland, Benjamin, Kothari, Suresh, Mathews, Jon, Ranade, Nikhil   +4 more
core   +1 more source

Malware and Malware Detection Techniques: A Survey

International Journal for Research in Applied Science and Engineering Technology, 2022
Abstract: Malicious software is a kind of software or codes which took some: private data, information from the PC framework, its tasks is to do only malicious objectives to the PC framework, without authorization of the PC clients. The effect of malicious software are worsen to the client.
Sahil Sehrawat, Dr. Dinesh Singh
openaire   +1 more source

hybrid-Falcon: Hybrid Pattern Malware Detection and Categorization with Network Traffic and Program Code [PDF]

, 2021
Peng Xu, Claudia Eckert, Apostolis Zarras   +2 more
openalex   +1 more source

Cybersecurity Assurance for SMEs: A Conceptual Framework Integrating Organizational Culture, Fraud Risk Management and Forensic Accounting

Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l'Administration, Volume 43, Issue 1, March 2026.
ABSTRACT As digitalization accelerates across the global economy, small and medium enterprises (SMEs) face increasing exposure to cybersecurity threats, not due to flaws in external platforms, but because of internal organizational vulnerabilities. This paper presents a conceptual framework that integrates the resource‐based view (RBV) and dynamic ...
Ifedapo Francis Awolowo, Egena Ode, Adenike Abidoye, Oluwaseun Ajao, Olamide Jogunola   +4 more
wiley   +1 more source

Generating Synthetic Malware Samples Using Generative AI

IEEE Access
Malware attacks have a significant negative impact on organizations of varied scales in the field of cybersecurity. Recently, malware researchers have increasingly turned to machine learning techniques to combat sophisticated obfuscation methods used in ...
Tiffany Bao, Kylie Trousil, Quang Duy Tran, Fabio Di Troia, Younghee Park   +4 more
doaj   +1 more source

You Are What You Do: Hunting Stealthy Malware via Data Provenance Analysis

Network and Distributed System Security Symposium, 2020
—To subvert recent advances in perimeter and host security, the attacker community has developed and employed various attack vectors to make a malware much stealthier than before to penetrate the target system and prolong its presence.
Qi Wang, Wajih Ul Hassan, Ding Li, Kangkook Jee, Xiao Yu, Kexuan Zou, J. Rhee, Zhengzhang Chen, Wei Cheng, Carl A. Gunter, Haifeng Chen   +10 more
semanticscholar   +1 more source

Preliminary Evidence of the Association Between Binge Eating and Preeclampsia in Pregnant U.S. Military Active‐Duty Service Women

International Journal of Eating Disorders, Volume 59, Issue 3, Page 588-594, March 2026.
ABSTRACT Objectives Binge eating is the most common disordered eating behavior among pregnant women. This study examined the association of binge‐eating frequency with the presence of a self‐reported current preeclampsia diagnosis in a sample of U.S. military active‐duty Service women. Methods Active‐duty Service women (N = 134), 20–27 weeks gestation,
Ruby Schrag, Jason M. Lavender, Autumn Mains, Stephanie Rioux, Isabel Thorstad, Zoe Sinkford, Victoria Thomas, David A. Klein, Mark Haigney, Marian Tanofsky‐Kraff, Katherine A. Thompson   +10 more
wiley   +1 more source