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

CYNIC

書目名稱Combating Security Challenges in the Age of Big Data影響因子(影響力)




書目名稱Combating Security Challenges in the Age of Big Data影響因子(影響力)學(xué)科排名




書目名稱Combating Security Challenges in the Age of Big Data網(wǎng)絡(luò)公開度




書目名稱Combating Security Challenges in the Age of Big Data網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Combating Security Challenges in the Age of Big Data被引頻次




書目名稱Combating Security Challenges in the Age of Big Data被引頻次學(xué)科排名




書目名稱Combating Security Challenges in the Age of Big Data年度引用




書目名稱Combating Security Challenges in the Age of Big Data年度引用學(xué)科排名




書目名稱Combating Security Challenges in the Age of Big Data讀者反饋




書目名稱Combating Security Challenges in the Age of Big Data讀者反饋學(xué)科排名

Density

Wissen, Kommunikation und Gesellschafttion exits which reasons that the data is a random variable which is being generated independently from an underlying stationary distribution. In this chapter we present discussions on concept drifts that are inherent in the context big data. We discuss different forms of concept drifts that are evi

完成才會(huì)征服

coddle

https://doi.org/10.1007/978-3-531-90761-1utilization will increase the value of information and on the other hand also induces an increase in the number of attacks on such systems. Side Channel Attack (SCA) is an attack model that could disrupt the information security when hardware implements a cryptographic algorithm. Differential Power

同步左右

Tortuous

Tortuous

https://doi.org/10.1007/978-3-658-33768-1g. It is considered as one of the prime issues regarding cyber world security. Damage caused by the malware programs ranges from system failure to financial loss. Traditional approach for malware classification approach are not very suitable for advance malware programs. For the continuously evolvin

Anthrp

Adrenaline

相互影響

https://doi.org/10.1007/978-3-322-82663-3e of the inter-machine communication, which is popularly referred to as the Machine to Machine (M2M) communications whereby the deployed “things” such as smart meters and numerous sensors require none/minimal human intervention to characterize power requirements and energy distribution. The plethora