A data transmission approach based on ant colony optimization and threshold proxy re-encryption in WSNs

Jing, Liu; Sun, Chenyu; Lai, Yingxu

doi:10.37965/jait.2021.12004

Cited by 17 publications

(12 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The threshold secret sharing algorithm is introduced to generate a set of reencryption key fragments composed of random numbers at the source node. The performance of the model is confirmed via simulation studies [3].…”

Section: Deployment Of Ai In Application Domainsmentioning

confidence: 68%

Foundations of Artificial Intelligence and Applications

Mian

2022

JAIT

View full text Add to dashboard Cite

The latest generation of artificial intelligence (AI) is based on today's cutting-edge technologies, including big data processing, cloud computing, machine learning, robotics, service-oriented computing, quantum computing, and Internet of Things (IoT). On one side, AI is supported and improved by these cutting-edge technologies. On the other side, AI is applied in many domains to augment the performance and capacities of many applications. Both the usefulness of AI in these domains and the inherent improvements that have been made in the pursuit of these large-scale technologies has caused an exponential increase in modern AI capabilities.In the following sections, we will present an overview of the papers in this issue that support the development of AI and apply AI to extend and improve performance and capacities in several application domains. These papers include both academic research papers and industrial application papers.

show abstract

Section: Deployment Of Ai In Application Domainsmentioning

confidence: 68%

Foundations of Artificial Intelligence and Applications

Mian

2022

JAIT

View full text Add to dashboard Cite

show abstract

“…So this suggested algorithm shows better results than previously developed ransomware analysis and detection algorithms. ere are various applications of machine learning and deep learning in different applied domains of artificial intelligence [24,25].…”

Section: Literature Reviewmentioning

confidence: 99%

Digital Forensics as Advanced Ransomware Pre-Attack Detection Algorithm for Endpoint Data Protection

Du¹,

Raza

Ahmad

et al. 2022

Security and Communication Networks

View full text Add to dashboard Cite

Ransomware is a malicious software that takes files hostage and demands ransomware to release them. It targets individuals, corporations, organizations, and public services such as hospitals and police stations. It is a growing industry that affected more than three million users from 2019 to 2020. The ransom payments totaled 25 billion-plus dollars in the year 2019. The latest version of ransomware was developed using undetectable and nonanalysis techniques. This paper represents an intelligent KNN and density-based machine learning algorithm to detect ransomware pre-attacks on an endpoint system. The data preprocessing and feature engineering techniques are augmented with the KNN algorithm for finding the solution. This helps the anti-malware developer, vendors, endpoint security provider companies, or researchers work on malware detection using advanced machine learning algorithms to develop the more effective ransomware defensive solutions to detect and prevent ransomware pre-attack execution. The proposed KNN and density-based algorithm will predict ransomware detection with higher accuracy than other machine learning algorithms. The anti-malware and anti-ransomware solution provider companies can use this algorithm to improve their existing ransomware detection solutions for endpoint users.

show abstract

“…(2 When A encrypts the information m with its encryption key, the ciphertext received by B is equivalent to A's unique imprint. Unlike the digital signature B in the usual sense, A's identity cannot be confirmed immediately [11]. The received ciphertext is encrypted with B's encryption key and sent to A .…”

Section: Shamir Agreementmentioning

confidence: 99%

Application Research in Computer Vision Signature Encryption System of Enterprise Contract Economic Management

Sun

Shi

2022

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

This paper mainly proposes a nonrepudiation digital signature authentication scheme based on an enterprise contract computer vision system. Based on the RSA algorithm and MD5 message-digest algorithm, a digital signature scheme of enterprise economic contract based on IC card is proposed. The method realizes digital signature and ensures the confidentiality of the transmitted data. Finally, this paper proposes a concrete digital signature experiment system implemented in Java. The results of this study show that the computer vision signature encryption system helps to improve the reliability of the system.

show abstract

A data transmission approach based on ant colony optimization and threshold proxy re-encryption in WSNs

Cited by 17 publications

References 18 publications

Foundations of Artificial Intelligence and Applications

Foundations of Artificial Intelligence and Applications

Digital Forensics as Advanced Ransomware Pre-Attack Detection Algorithm for Endpoint Data Protection

Application Research in Computer Vision Signature Encryption System of Enterprise Contract Economic Management

Contact Info

Product

Resources

About