Results 81 to 90 of about 12,725 (233)
CAAI Transactions on Intelligence Technology, EarlyView.Abstract Graph neural networks (GNNs) have revolutionised the processing of information by facilitating the transmission of messages between graph nodes. Graph neural networks operate on graph‐structured data, which makes them suitable for a wide variety of computer vision problems, such as link prediction, node classification, and graph classification.
Amit Sharma +4 more
wiley +1 more source
Automatic Malware Detection [PDF]
, 2021 The problem of automatic malware detection presents challenges for antivirus vendors. Since the manual investigation is not possible due to the massive number of samples being submitted every day, automatic malware classication is necessary.
Martin Jureček
core
From Ambiguous Queries to Verifiable Insights: A Task‐Driven Framework for LLM‐Powered SOC Analysis⋆
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Security operations centre (SOC) analysts must investigate alerts, correlate threat intelligence and interpret heterogeneous telemetry under tight timing constraints. Although large language models (LLMs) offer strong understanding capabilities, directly applying them to SOC environments remains challenging due to semantic ambiguity in analyst
Huan Zhang +5 more
wiley +1 more source
Malware traffic detection based on type II fuzzy recognition
Frontiers in PhysicsIn recent years, a surge in malicious network incidents and instances of network information theft has taken place, with malware identified as the primary culprit.
Weisha Zhang +4 more
doaj +1 more source
Canadian Public Administration, EarlyView.Abstract The war in Ukraine and Israel's successful operations have demonstrated the apparent shift in military operations, strategic defence spending, and innovations. Drawing parallels to the industrial revolution and how it slowly transferred military procurement, training, and deployment, the current study also highlights the AI revolution and the ...
Ehsan Jozaghi
wiley +1 more source
An Overview of Modern Malware Detection
, 2022 Malware detection is crucial with malware’s prevalence on the Internet because it functions as an early warning system for the computer secure regarding malware and cyber attacks.
Swati Deshpande
core +1 more source
A machine learning technique for Android malicious attacks detection based on API calls [PDF]
Decision Science LettersAndroid malware is widespread and it is considered as one of the most threatening attacks recently. The threat is targeting to damage access data or information or leaking them; in general, malicious software consists of viruses, worms, and ...
Mousa AL-Akhras +3 more
doaj +1 more source
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
Classification of packet contents for malware detection
, 2011 Many existing schemes for malware detection are signature-based. Although they can effectively detect known malwares, they cannot detect variants of known malwares or new ones.
Lhee, Kyung-suk +3 more
core +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