Demo Data from EDBT 2026 / reviewers in the wild / expert
Atul Mahajan
dblp:90/456
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2008
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1 · 1 first-author
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Reconfigurable computing and FPGAs · 50% Hardware accelerators and domain-specific architectures · 50% | |
| Network and information security
1 paper |
Network security · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Network security › intrusion detection and prevention › intrusion detection
intrusion detection system |
0.1 | 1 | 2008 | Implementing high-speed string matching hardware for network intrusion detection systems · FPGA 2008 |
Reconfigurable computing and FPGAs
FPGA accelerator |
0.1 | 1 | 2008 | Implementing high-speed string matching hardware for network intrusion detection systems · FPGA 2008 |
Hardware accelerators and domain-specific architectures › pattern matching accelerator
string matching accelerator |
0.1 | 1 | 2008 | Implementing high-speed string matching hardware for network intrusion detection systems · FPGA 2008 |
Network security
packet classification |
0.0 | 1 | 2008 | Implementing high-speed string matching hardware for network intrusion detection systems · FPGA 2008 |
Methods — techniques the papers use, named apart from their topics
multi-threading finite state machine · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2008 | Implementing high-speed string matching hardware for network intrusion detection systemsabstractThis paper presents a string matching hardware on FPGA for network intrusion detection systems. The proposed architecture, consisting of packet classifiers and strings matching verifiers, achieves superb throughput by using several mechanisms. First, based on incoming packet contents, the packet classifiers can dramatically reduce the number of strings to be matched for each packet and, accordingly, feed the packet to a proper verifier to conduct matching. Second, a novel multi-threading finite state machine (FSM) is proposed, which improves FSM clock frequency and allows multiple packets to be examined by a single FSM simultaneously. Design techniques for high-speed interconnect and interface circuits are also presented. Experimental results are presented to explore the trade-offs between system performance, strings partition granularity and hardware resource cost Atul Mahajan, Benfano Soewito, Sai K. Parsi, Ning Weng, Haibo Wang 0005 |
FPGA | 1 |