Sunny Behal

1.7k citations
46 papers · 1.1k indexed · 1 hit paper · h-index 15

Impact in

Papers in

Sunny Behal

44 papers receiving 1.0k citations

Hit Papers

Deep learning approaches for detecting DDoS attacks: a systematic review 2022 · 127 citations
12720222026202320244080120

Peers

Sunny Behal
Comparison fields: 5 of 63
  • Signal Processing 572
  • Computer Networks and Communications 955
  • Artificial Intelligence 652
  • Information Systems 166
  • Computer Vision and Pattern Recognition 78
Replace Adam Radford with:
Adam Radford Australia
Arunan Sivanathan Australia
Yiqiang Sheng China
Cherita Corbett United States
Mohammad Saiful Islam Mamun Bangladesh
Sebastián García Czechia
Nick Sullivan Australia
Mohanad Sarhan Australia
Emmanouil Vasilomanolakis Denmark
Yizhen Jia China
Sunny Behal relative to Adam Radford Australia Adam Radford's profile →
Citations per field
00.5×1.5×2.1×
Adam Radford · 1×
Citations per year

Countries citing papers authored by Sunny Behal

Since Specialization
Citations

This map shows the geographic impact of Sunny Behal's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sunny Behal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunny Behal more than expected).

Fields of papers citing papers by Sunny Behal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sunny Behal. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sunny Behal. The network helps show where Sunny Behal may publish in the future.

Co-authors

The 20 scholars most cited alongside Sunny Behal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sunny Behal Line = papers co-authored together Sunny Behal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20245
2 20248
3 20235
4 20220
5
Deep learning approaches for detecting DDoS attacks: a systematic review
Hit paper breakdown →
2022127
6 20224
7 20213
8 20214
9 20217
10 202113
11 202113
12 20212
13 202083
14
Characterization and Comparison of DDoS Attack Tools and Traffic Generators: A Review.
201741
15
Discriminating Flash Events from DDoS Attacks: A Comprehensive Review.
201713
16 201736
17 201513
18 20147
19 20130
20 20125

About Sunny Behal

Sunny Behal is a scholar working on Signal Processing, Computer Networks and Communications, Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, having authored 46 papers that have together received 1.1k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (33 papers), Advanced Malware Detection Techniques (26 papers), Internet Traffic Analysis and Secure E-voting (24 papers), Anomaly Detection Techniques and Applications (7 papers), Software-Defined Networks and 5G (6 papers), Smart Grid Security and Resilience (2 papers), Chaos-based Image/Signal Encryption (2 papers) and Face recognition and analysis (2 papers). The work is most often cited by research in Signal Processing (572 citations), Computer Networks and Communications (955 citations), Artificial Intelligence (652 citations), Information Systems (166 citations) and Computer Vision and Pattern Recognition (78 citations). Sunny Behal has collaborated with scholars based in India and United States. Frequent co-authors include Krishan Kumar, Jagdeep Singh, Monika Sachdeva, Sajal Bhatia, Kamlesh Dutta, Abhinav Bhandari, Pritpal Singh, Navjot Kaur, C. Rama Krishna and Harjeet Kaur. Their work appears in journals such as Computer Science Review, Journal of King Saud University - Computer and Information Sciences, Journal of Network and Computer Applications, Computer Communications and Soft Computing.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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