Results 51 to 60 of about 11,113 (232)

How to Pass the Reverse Turing Test By Utilizing a VMI-Based Human Interaction Simulator

, 2022
Sandboxes are an indispensable tool in dynamic malware analysis today. However, modern malware often employs sandbox-detection methods to exhibit non-malicious behavior within sandboxes and therefore evade automatic analysis.
Freiling, Felix C., Gruber, Jan
core   +1 more source

A Comprehensive Review of AI‐Powered Energy Systems

Energy Science &Engineering, EarlyView.
The role of Artificial Intelligence (AI) in developing next‐generation energy systems is getting more day by day. Therefore, incorporating AI enables real‐time decision‐making and advanced grid management, which are essential for optimizing the use of intermittent renewable sources like wind and solar power.
Armin Razmjoo, Pedram Asef, Masoumeh Javadi, Mousa Marzband, Shady S. Refaat, Muhyaddin Rawa   +5 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, Joseph Opacki, Opacki, Joseph, Paul Black   +3 more
core   +1 more source

Major Cybersecurity Breaches: Shaping Corporate Cybersecurity Policies and Closing the Gaps

Journal of Corporate Accounting &Finance, EarlyView.
ABSTRACT As digitalization accelerates, cybercrime has intensified in both scale and impact over the past two decades. This study aims to critically examine major cybersecurity events, assess them through the lens of routine activity theory, examine insight from three other established criminological and organizational theories, and address central ...
Laura K. Rickett, Deborah Smith
wiley   +1 more source

Modelling Critical Impeding Factors of Gamification Adoption: An ISM‐MICMAC Analysis

Global Business and Organizational Excellence, EarlyView.
ABSTRACT Gamification is a transformative technology that attracts consumers and motivates them toward desired actions through fun and engagement. Despite its growing popularity and influence on user behavior, gamification faces significant challenges in acceptance and implementation due to behavioral, technological, economic, and regulatory factors ...
Wamika Sharma, Dinesh Kumar, Aastha Verma, Rodney Lim, Garima Gupta   +4 more
wiley   +1 more source

MalGraphIQ: A tool for generating behavior representations of malware execution traces

SoftwareX
Understanding and interpreting malware behavior remains an open challenge in the field of cybersecurity. The dynamic analysis of malware execution traces has emerged as a promising approach for discovering behavioral insights that allow the visual ...
Razvan Raducu, Ricardo J. Rodríguez, Pedro Álvarez   +2 more
doaj   +1 more source

A Systems‐Level Approach to Address Risks and Ethics in Artificial Intelligence Systems

Systems Engineering, EarlyView.
ABSTRACT Artificial intelligence (AI) is rapidly changing the world, from completely controlling routine or mundane tasks like text and image generation, to powering advanced algorithms that control critical systems. The recent advances in generative AI quickly overwhelmed multiple industries from education to finance as first adopters rushed (and ...
Vincent P. Paglioni, Torrey Mortenson
wiley   +1 more source

Detection of Cyber Malware Attack Based on Network Traffic Features Using Neural Network

Khazanah Informatika, 2020
Various techniques have been developed to detect cyber malware attacks, such as behavior based method which utilizes the analysis of permissions and system calls made by a process.
Ventje Jeremias Lewi Engel, Evan Joshua, Mychael Maoeretz Engel   +2 more
doaj   +1 more source

Assessment of a Model‐Based Approach to Achieve Authorization to Operate

Systems Engineering, EarlyView.
ABSTRACT Accreditation of United States Government (USG) Information Systems (IS) is required to assure their function and security before delivery to the operational environment. However, in many cases, the baseline document‐based accreditation processes are sources of cost and schedule overruns.
Edan C. Sanchez, John M. “Mike” Borky, Thomas H. Bradley   +2 more
wiley   +1 more source

DQN‐Guided Subset‐Induced OCSVM Kernel Approximation for Imbalanced Anomaly Detection

IEEJ Transactions on Electrical and Electronic Engineering, EarlyView.
Anomaly detection under limited normal data remains a fundamental challenge due to severe class imbalance and scarcity of anomalies. We propose a novel framework that reformulates support vector selection in One‐Class SVM as a sequential decision‐making problem.
Wenqian Yu, Jiaying Wu, Jinglu Hu
wiley   +1 more source