Segment routing: A comprehensive survey of research activities, standardization efforts, and implementation results

PL Ventre, S Salsano, M Polverini… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
Fixed and mobile telecom operators, enterprise network operators and cloud providers strive
to face the challenging demands coming from the evolution of IP networks (eg, huge …

Segment routing in software defined networks: A survey

ZN Abdullah, I Ahmad, I Hussain - … Communications Surveys & …, 2018 - ieeexplore.ieee.org
Segment routing (SR) has emerged as a promising source-routing methodology to
overcome the challenges in the current routing schemes. It has received noticeable attention …

Hyperband tuned deep neural network with well posed stacked sparse autoencoder for detection of DDoS attacks in cloud

A Bhardwaj, V Mangat, R Vig - IEEE Access, 2020 - ieeexplore.ieee.org
Cloud computing has very attractive features like elastic, on demand and fully managed
computer system resources and services. However, due to its distributed and dynamic …

An efficient and robust deep learning based network anomaly detection against distributed denial of service attacks

Ö Kasim - Computer Networks, 2020 - Elsevier
The number of devices connected to the Internet is increasing day by day. This increase
causes cyber-attacks to be larger and more complex. It is important to sdetect the anomalies …

Incremental deployment of segment routing into an ISP network: A traffic engineering perspective

A Cianfrani, M Listanti… - IEEE/ACM Transactions on …, 2017 - ieeexplore.ieee.org
Segment routing (SR) is a new routing paradigm to provide traffic engineering (TE)
capabilities in an IP network. The main feature of SR is that no signaling protocols are …

Traffic engineering in partially deployed segment routing over IPv6 network with deep reinforcement learning

Y Tian, Z Wang, X Yin, X Shi, Y Guo… - IEEE/ACM …, 2020 - ieeexplore.ieee.org
Segment Routing (SR) is a source routing paradigm which is widely used in Traffic
Engineering (TE). By using SR, a node steers a packet through an ordered list of instructions …

[HTML][HTML] Refined analysis and a hierarchical multi-task learning approach for loan fraud detection

L Chen, N Jia, H Zhao, Y Kang, J Deng, S Ma - Journal of Management …, 2022 - Elsevier
Fraud problems in loan application assessment cause significant losses for finance
companies worldwide, and much research has focused on machine learning methods to …

[图书][B] Performance evaluation of different feature encoding schemes on cybersecurity logs

E Jackson, R Agrawal - 2019 - ieeexplore.ieee.org
Many cybersecurity logs contain a substantial volume of textual data regarding security
events. This data needs to be converted to numerical types before any machine learning …

Traffic engineering with three-segments routing

V Pereira, M Rocha, P Sousa - IEEE Transactions on Network …, 2020 - ieeexplore.ieee.org
Segment Routing (SR) is a new fertile ground for Traffic Engineering (TE). By decomposing
forwarding paths into segments, which specify a list of intermediate delivery points that a …

Comprehensive Machine Learning Pipeline for Prediction of Power Conversion Efficiency in Perovskite Solar Cells

D Mohanty, AK Palai - Advanced Theory and Simulations, 2023 - Wiley Online Library
Perovskite solar cells (PSCs) have garnered considerable interest as a viable replacement
for conventional silicon‐based solar cells, thanks to their high‐power conversion efficiency …