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Titlebook: Cyber Security in Intelligent Computing and Communications; Rajeev Agrawal,Jing He,Sanjeev Kumar Book 2022 The Editor(s) (if applicable) a

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21#
發(fā)表于 2025-3-25 03:45:22 | 只看該作者
Cyber Security in Intelligent Computing and Communications978-981-16-8012-0Series ISSN 1860-949X Series E-ISSN 1860-9503
22#
發(fā)表于 2025-3-25 09:44:07 | 只看該作者
State-of-the-Art Survey on Web Vulnerabilities, Threat Vectors, and Countermeasurese gaining more attention for storing personal information such as media files, documents, account?pins, bank details, login credentials etc,. As a result, it has become easier for hackers to gain access to the sensitive data via web applications. In this paper, we present a detailed review of the to
23#
發(fā)表于 2025-3-25 13:13:40 | 只看該作者
A Survey of Cyber Security Trends, Emerging Technologies and Threatssecurity experts in handling the posed threats to the huge cyber space distributed around the globe. The use of Internet in almost every step of our today’s lifestyle, from banking system, business world to all confidential communications has created a lot of vulnerability in our privacy and securit
24#
發(fā)表于 2025-3-25 18:51:51 | 只看該作者
25#
發(fā)表于 2025-3-25 23:14:06 | 只看該作者
26#
發(fā)表于 2025-3-26 02:34:16 | 只看該作者
Big Data-Based Autonomous Anomaly Detection Security Analytics for Protecting Virtualized Infrastrucnd, the attempt to attack these computer networks is growing as it contains qualitative information of several enterprises. To overcome these challenges, a big data-based autonomous anomaly detection using clustering and classification approaches is proposed in this paper. The main aim is to identif
27#
發(fā)表于 2025-3-26 04:32:32 | 只看該作者
A Study on Clustering Facebook Multimedia Based on Metadata—A Comparative Analysisrmation on the cloud. Hence it becomes a necessity to group the similar data in particular Clusters using data mining techniques and algorithms. And an unsupervised approach, clustering is used for grouping the instances. The present paper represents three different Cluster algorithms: Expectation M
28#
發(fā)表于 2025-3-26 11:19:01 | 只看該作者
A Big Impact of Social Network Analysis and Machine Learning Algorithms for Predicting Facts of Covitant challenges before the government of India. The first is to fight the pandemic and second is to make awareness about it. Since analyses of social networks reveal technological advancement and show how World Health Organization’s post is beneficial for awareness and prevention from covid-19 as we
29#
發(fā)表于 2025-3-26 16:32:16 | 只看該作者
30#
發(fā)表于 2025-3-26 19:10:10 | 只看該作者
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