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Application-layer distributed denial-of-service (DDoS) attacks incapacitate systems by using up their resources, causing service interruptions, financial losses, and more. Consequently, advanced deep-learning techniques are used to detect and mitigate ...

With the rapid development of blockchain technology, the cross-blockchain asset transfer has been in great demand. However, most existing cross-blockchain solutions encounter low efficiency problems due to the centralized features, ...

Analyzing blockchain protocols is a notoriously difficult task due to the underlying large scale distributed networks. To address this problem, stochastic model-based approaches are often utilized. However, the abstract models in prior work turn out not ...

The explosion of applications in data-parallel systems and ever-growing high-efficiency needs for data analysis have made parallel systems under enormous memory pressure when dealing with large datasets. Out-of-memory errors and excessive garbage ...

Blockchain technology is currently receiving increasing attention with widely used in many fields such as finance, retail, Internet of Things, and intelligent manufacturing. Although many blockchain applications are still in the early stage, this ...

In this paper, we present HyperStar2, a tool for fitting Markov Arrival Processes (MAPs) to empirical data. HyperStar2 uses a two-step approach, where the first step is cluster-based fitting of phase-type distributions and the second step is the ...