Tracking normalized network traffic entropy to detect DDoS attacks in P4
Distributed Denial-of-Service (DDoS) attacks represent a persistent threat to modern
telecommunications networks: detecting and counteracting them is still a crucial unresolved …
telecommunications networks: detecting and counteracting them is still a crucial unresolved …
{FpgaNIC}: An {FPGA-based} versatile 100gb {SmartNIC} for {GPUs}
Given that the increasing rate of network bandwidth is far ahead of that of the compute
capacity of host CPU, which by default processes network packets, SmartNIC has been …
capacity of host CPU, which by default processes network packets, SmartNIC has been …
Skt: A one-pass multi-sketch data analytics accelerator
Data analysts often need to characterize a data stream as a first step to its further
processing. Some of the initial insights to be gained include, eg, the cardinality of the data …
processing. Some of the initial insights to be gained include, eg, the cardinality of the data …
Optimistic data parallelism for fpga-accelerated sketching
Sketches are a popular approximation technique for large datasets and high-velocity data
streams. While custom FPGA-based hardware has shown admirable throughput at …
streams. While custom FPGA-based hardware has shown admirable throughput at …
Data processing with fpgas on modern architectures
Trends in hardware, the prevalence of the cloud, and the rise of highly demanding
applications have ushered an era of specialization that is quickly changing the way data is …
applications have ushered an era of specialization that is quickly changing the way data is …
Tabular interpolation approach based on stable random projection for estimating empirical entropy of high-speed network traffic
YK Lai, CL Tsai, CH Chuang, XW Ku, JH Chen - IEEE Access, 2022 - ieeexplore.ieee.org
The empirical entropy of the network flow attributes is an essential measure for identifying
anomalous network traffic. However, computing the exact entropy values for high-speed …
anomalous network traffic. However, computing the exact entropy values for high-speed …
A streaming algorithm and hardware accelerator to estimate the empirical entropy of network flows
The empirical entropy is used in network traffic monitoring and classification to detect
anomalous events and manage network resources. Computing the entropy of high-speed …
anomalous events and manage network resources. Computing the entropy of high-speed …
Reconfigurable Virtual Memory for FPGA-Driven I/O
J Landgraf, M Giordano, E Yoon… - Proceedings of the 28th …, 2023 - dl.acm.org
FPGAs are increasingly used to accelerate modern applications, and cloud providers offer
FPGA platforms on-demand with a variety of FPGAs, I/O peripherals, and memory options …
FPGA platforms on-demand with a variety of FPGAs, I/O peripherals, and memory options …
In-network compression for accelerating IoT analytics at scale
R Oliveira, A Gavrilovska - 2023 IEEE Symposium on High …, 2023 - ieeexplore.ieee.org
To enable the Internet of Things (IoT) to scale at the level of next generation smart cities and
grids, there is a need for cost-effective infrastructure for hosting IoT analytics applications …
grids, there is a need for cost-effective infrastructure for hosting IoT analytics applications …
Optimized algorithms and architectures for fast non-cryptographic hash functions in hardware
The design and implementation of eight novel non-cryptographic hash functions is proposed
in this paper. Those can suitably be employed in networking and security applications that …
in this paper. Those can suitably be employed in networking and security applications that …