7 citations · 14 across the 10 of their papers we have counts for
10 papers
SpraySense: Sensing Gray Failures through Packet Spraying Discrepancies
Jakob Krebs, Daniel Amir, Shir Landau Feibish +1
Distributed machine learning (ML) training has become a dominant workload in modern data center networks, operating at massive scale with clusters comprising tens to hundreds of th…
NODE: Network Wide Top-K Flows in the Data Plane
Eitan Stein, Lior Zeno, Shir Landau Feibish
Monitoring network traffic is crucial for most network tasks, such as, identifying and blocking attacks, pinpointing failures and engineering and rerouting heavy traffic to maintai…
ReAct: Reflection Attack Mitigation For Asymmetric Routing
David Hay, Mary Hogan, Shir Landau Feibish
Amplification Reflection Distributed Denial-of-Service (AR-DDoS) attacks remain a formidable threat, exploiting stateless protocols to flood victims with illegitimate traffic. Rece…
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate
Murayyiam Parvez, Annus Zulfiqar, Roman Beltiukov +4
Machine learning (ML) is increasingly being deployed in programmable data planes (switches and SmartNICs) to enable real-time traffic analysis, security monitoring, and in-network…
Measuring Round-Trip Response Latencies Under Asymmetric Routing
Bhavana Vannarth Shobhana, Yen-lin Chien, Jonathan Diamant +3
Latency is a key indicator of Internet service performance. Continuously tracking the latency of client requests enables service operators to quickly identify bottlenecks, perform…
Routing Oblivious Measurement Analytics
Ran Ben Basat, Xiaoqi Chen, Gil Einziger +3
Network-wide traffic analytics are often needed for various network monitoring tasks. These measurements are often performed by collecting samples at network switches, which are th…
Detecting Heavy Flows in the SDN Match and Action Model
Yehuda Afek, Anat Bremler-Barr, Shir Landau Feibish +1
Efficient algorithms and techniques to detect and identify large flows in a high throughput traffic stream in the SDN match-and-action model are presented. This is in contrast to p…
Efficient Distinct Heavy Hitters for DNS DDoS Attack Detection
Yehuda Afek, Anat Bremler-Barr, Edith Cohen +2
Motivated by a recent new type of randomized Distributed Denial of Service (DDoS) attacks on the Domain Name Service (DNS), we develop novel and efficient distinct heavy hitters al…
Unified Compression-Based Acceleration of Edit-Distance Computation
Danny Hermelin, Gad M. Landau, Shir Landau +1
The edit distance problem is a classical fundamental problem in computer science in general, and in combinatorial pattern matching in particular. The standard dynamic programming s…
A Unified Algorithm for Accelerating Edit-Distance Computation via Text-Compression
Danny Hermelin, Gad M. Landau, Shir Landau +1
We present a unified framework for accelerating edit-distance computation between two compressible strings using straight-line programs. For two strings of total length having…