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Titlebook: Combating Security Challenges in the Age of Big Data; Powered by State-of- Zubair Md. Fadlullah,Al-Sakib Khan Pathan Book 2020 Springer Nat

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發(fā)表于 2025-3-23 11:16:23 | 只看該作者
,Zusammenwirken — Praxis und Theorie,structure (AMI) is one of the key components in smart grids that enables two-way communication between end users and the utility using smart meters installed at end users. Cyber security plays a fundamental role to secure communications in the AMI. To ensure confidentiality and integrity, key manage
12#
發(fā)表于 2025-3-23 16:03:18 | 只看該作者
https://doi.org/10.1007/978-3-030-35642-2Big Data Analytics and Security; Cloud Computing Resiliency; Internet of Things Security; Blockchain Ba
13#
發(fā)表于 2025-3-23 18:50:04 | 只看該作者
978-3-030-35644-6Springer Nature Switzerland AG 2020
14#
發(fā)表于 2025-3-23 22:21:05 | 只看該作者
Combating Security Challenges in the Age of Big Data978-3-030-35642-2Series ISSN 1613-5113 Series E-ISSN 2363-9466
15#
發(fā)表于 2025-3-24 02:21:59 | 只看該作者
Zubair Md. Fadlullah,Al-Sakib Khan PathanOffers a comprehensive coverage of the main topic, ranging from big data analytics to protection.Provides an up-to-date source on computing/network security and resilience contributed by international
16#
發(fā)表于 2025-3-24 09:00:14 | 只看該作者
17#
發(fā)表于 2025-3-24 12:29:02 | 只看該作者
18#
發(fā)表于 2025-3-24 15:50:17 | 只看該作者
19#
發(fā)表于 2025-3-24 21:35:51 | 只看該作者
Book 2020f conventional and state-of-the-art techniques.?The incentive for joining big data and advanced analytics is no longer in doubt for businesses and ordinary users alike. Technology giants like Google, Microsoft, Amazon, Facebook, Apple, and companies like Uber, Airbnb, NVIDIA, Expedia, and so forth a
20#
發(fā)表于 2025-3-25 00:30:09 | 只看該作者
,Classification of Outlier’s Detection Methods Based on Quantitative or?Semantic Learning,iers, there is a conceptual meaning behind the outlier based on the context of the dataset, shifting the focus to finding the anomalous class of data. We also discuss the use of the proposed definition of semantic learning in detecting credit card frauds..CCS CONCEPTS.
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