Static analysis of information systems for IoT cyber security: a survey of machine learning approaches
Ensuring security for modern IoT systems requires the use of complex methods to analyze
their software. One of the most in-demand methods that has repeatedly been proven to be …
their software. One of the most in-demand methods that has repeatedly been proven to be …
A survey on machine learning techniques for source code analysis
The advancements in machine learning techniques have encouraged researchers to apply
these techniques to a myriad of software engineering tasks that use source code analysis …
these techniques to a myriad of software engineering tasks that use source code analysis …
False alert detection based on deep learning and machine learning
S Li, D Qin, X Wu, J Li, B Li, W Han - International Journal on …, 2022 - igi-global.com
Among the large number of network attack alerts generated every day, actual security
incidents are usually overwhelmed by a large number of redundant alerts. Therefore, how to …
incidents are usually overwhelmed by a large number of redundant alerts. Therefore, how to …
Attribution classification method of APT malware in IoT using machine learning techniques
S Li, Q Zhang, X Wu, W Han… - Security and …, 2021 - Wiley Online Library
In recent years, the popularity of IoT (Internet of Things) applications and services has
brought great convenience to people′ s lives, but ubiquitous IoT has also brought many …
brought great convenience to people′ s lives, but ubiquitous IoT has also brought many …
A weighted network community detection algorithm based on deep learning
S Li, L Jiang, X Wu, W Han, D Zhao, Z Wang - Applied Mathematics and …, 2021 - Elsevier
At present, community detection methods are mostly focused on the investigation at
unweighted networks. However, real-world networks are always complex, and unweighted …
unweighted networks. However, real-world networks are always complex, and unweighted …
Malicious mining code detection based on ensemble learning in cloud computing environment
Hackers increasingly tend to abuse and nefariously use cloud services by injecting
malicious mining code. This malicious code can be spread through infrastructures in the …
malicious mining code. This malicious code can be spread through infrastructures in the …
A survey of advanced persistent threats attack and defense
Y Mei, W Han, S Li, X Wu - 2021 IEEE Sixth International …, 2021 - ieeexplore.ieee.org
Advanced Persistent Threats (APT) are a complex attack method aimed at specific targets to
steal high-value sensitive information or damage the target organization's infrastructure. The …
steal high-value sensitive information or damage the target organization's infrastructure. The …
Imbalanced malware family classification using multimodal fusion and weight self-learning
S Li, Y Li, X Wu, S Al Otaibi… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In recent years, the increasing prevalence of Intelligent Transportation Systems with
advanced technologies has led to the emergence of many targeted forms of malware such …
advanced technologies has led to the emergence of many targeted forms of malware such …
[HTML][HTML] A survey on machine learning techniques applied to source code
The advancements in machine learning techniques have encouraged researchers to apply
these techniques to a myriad of software engineering tasks that use source code analysis …
these techniques to a myriad of software engineering tasks that use source code analysis …
Evaluating Antivirus Effectiveness Against Malware in Ascending Order for Increasing Blockchain Endpoint Protection
Blockchain represents a new promising technology with a huge economic impact resulting
from its uses in various fields such as digital currency and banking; malware represents a …
from its uses in various fields such as digital currency and banking; malware represents a …