Signal-Based Malware Classification Using 1D CNNs | Paper Citation Record

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Signal-Based Malware Classification Using 1D CNNs sn-basic.bst

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Signal-Based Malware Classification Using 1D CNNs write newline

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Signal-Based Malware Classification Using 1D CNNs write newline

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Signal-Based Malware Classification Using 1D CNNs write newline

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Signal-Based Malware Classification Using 1D CNNs write newline

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Signal-Based Malware Classification Using 1D CNNs write newline

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Signal-Based Malware Classification Using 1D CNNs write newline

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Signal-Based Malware Classification Using 1D CNNs sn-aps.bst

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Signal-Based Malware Classification Using 1D CNNs write newline

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Signal-Based Malware Classification Using 1D CNNs sn-nature.bst

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Signal-Based Malware Classification Using 1D CNNs write newline

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Signal-Based Malware Classification Using 1D CNNs sn-vancouver-num.bst

Reference 12

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Signal-Based Malware Classification Using 1D CNNs write newline

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Signal-Based Malware Classification Using 1D CNNs Unresolved cited work

Reference 14

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Observation d990ffc1-784a-4b31-9245-96e33ca90c52 · outbound

This paper cites Journal of Information Security and Applications 59:102828.

Signal-Based Malware Classification Using 1D CNNs Journal of Information Security and Applications 59:102828

Reference 15

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This paper cites In: Proceedings of the 13th International Conference on Mining Software Repositories.

Signal-Based Malware Classification Using 1D CNNs In: Proceedings of the 13th International Conference on Mining Software Repositories

Reference 16

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Observation 30a3d7ea-73d5-443e-9dfc-364cea66a92d · outbound

This paper cites In: 2018 13th International Conference on Malicious and Unwanted Software (MALWARE), pp 103--111, doi:10.1109/MALWARE.2018.8659358.

Signal-Based Malware Classification Using 1D CNNs In: 2018 13th International Conference on Malicious and Unwanted Software (MALWARE), pp 103--111, doi:10.1109/MALWARE.2018.8659358

Reference 17

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This paper cites In: Proceedings of the 5th ACM Workshop on Security and Artificial Intelligence.

Signal-Based Malware Classification Using 1D CNNs In: Proceedings of the 5th ACM Workshop on Security and Artificial Intelligence

Reference 18

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This paper cites EMBER: An Open Dataset for Training Static PE Malware Machine Learning Models.

Signal-Based Malware Classification Using 1D CNNs EMBER: An Open Dataset for Training Static PE Malware Machine Learning Models

Reference 19

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This paper cites In: 2022 IEEE Symposium on Computers and Communications (ISCC), pp 1--6, doi:10.1109/ISCC55528.2022.9912986.

Signal-Based Malware Classification Using 1D CNNs In: 2022 IEEE Symposium on Computers and Communications (ISCC), pp 1--6, doi:10.1109/ISCC55528.2022.9912986

Reference 20

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This paper cites Electronics 11(19):3064.

Signal-Based Malware Classification Using 1D CNNs Electronics 11(19):3064

Reference 21

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This paper cites In: Goodall JR, Conti G, Ma KL (eds) Visualization for Computer Security.

Signal-Based Malware Classification Using 1D CNNs In: Goodall JR, Conti G, Ma KL (eds) Visualization for Computer Security

Reference 22

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This paper cites Digital Investigation 7:S3--S12.

Signal-Based Malware Classification Using 1D CNNs Digital Investigation 7:S3--S12

Reference 23

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This paper cites Machine Learning: Science and Technology 4.

Signal-Based Malware Classification Using 1D CNNs Machine Learning: Science and Technology 4

Reference 24

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Signal-Based Malware Classification Using 1D CNNs Electronics 10(4)

Reference 25

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This paper cites pp 138--146, doi:10.1109/COMSNETS53615.2022.9668396.

Signal-Based Malware Classification Using 1D CNNs pp 138--146, doi:10.1109/COMSNETS53615.2022.9668396

Reference 26

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This paper cites IEEE Transactions on Network and Service Management 18(2):1165--1177.

Signal-Based Malware Classification Using 1D CNNs IEEE Transactions on Network and Service Management 18(2):1165--1177

Reference 27

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This paper cites A Large-Scale Database for Graph Representation Learning.

Signal-Based Malware Classification Using 1D CNNs A Large-Scale Database for Graph Representation Learning

Reference 28

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Signal-Based Malware Classification Using 1D CNNs ://api.semanticscholar.org/CorpusID:44430018

Reference 29

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This paper cites Computers & Security 95:101873.

Signal-Based Malware Classification Using 1D CNNs Computers & Security 95:101873

Reference 30

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This paper cites In: 2018 IEEE 14th International Colloquium on Signal Processing & Its Applications (CSPA), pp 99--102, doi:10.1109/CSPA.2018.8368693.

Signal-Based Malware Classification Using 1D CNNs In: 2018 IEEE 14th International Colloquium on Signal Processing & Its Applications (CSPA), pp 99--102, doi:10.1109/CSPA.2018.8368693

Reference 31

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This paper cites Deep Residual Learning for Image Recognition.

Signal-Based Malware Classification Using 1D CNNs Deep Residual Learning for Image Recognition

Reference 32

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Signal-Based Malware Classification Using 1D CNNs Identity Mappings in Deep Residual Networks

Reference 33

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Signal-Based Malware Classification Using 1D CNNs Bag of Tricks for Image Classification with Convolutional Neural Networks

Reference 34

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Signal-Based Malware Classification Using 1D CNNs Gaussian Error Linear Units (GELUs)

Reference 35

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This paper cites In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Signal-Based Malware Classification Using 1D CNNs In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 36

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This paper cites R2-D2: ColoR-inspired Convolutional NeuRal Network (CNN)-based AndroiD Malware Detections.

Signal-Based Malware Classification Using 1D CNNs R2-D2: ColoR-inspired Convolutional NeuRal Network (CNN)-based AndroiD Malware Detections

Reference 37

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This paper cites In: 2018 9th IFIP International Conference on New Technologies, Mobility and Security (NTMS), pp 1--5, doi:10.1109/NTMS.2018.8328749.

Signal-Based Malware Classification Using 1D CNNs In: 2018 9th IFIP International Conference on New Technologies, Mobility and Security (NTMS), pp 1--5, doi:10.1109/NTMS.2018.8328749

Reference 38

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This paper cites IEEE Access 10:5518--5532.

Signal-Based Malware Classification Using 1D CNNs IEEE Access 10:5518--5532

Reference 39

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This paper cites IEEE Access 11:22889--22903.

Signal-Based Malware Classification Using 1D CNNs IEEE Access 11:22889--22903

Reference 40

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This paper cites Frontiers of Information Technology & Electronic Engineering 18(9):1336--1347.

Signal-Based Malware Classification Using 1D CNNs Frontiers of Information Technology & Electronic Engineering 18(9):1336--1347

Reference 41

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This paper cites ://api.semanticscholar.org/CorpusID:22879106.

Signal-Based Malware Classification Using 1D CNNs ://api.semanticscholar.org/CorpusID:22879106

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:32:59.765750Z

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This paper cites IEEE Access 10:95970--95985.

Signal-Based Malware Classification Using 1D CNNs IEEE Access 10:95970--95985

Reference 43

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-04T23:32:58.164747Z

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Observation a3ae2aa0-a186-4f91-aeb7-ecd4b18f6bb1 · outbound

This paper cites In: Proceedings of the Seventh ACM on Conference on Data and Application Security and Privacy.

Signal-Based Malware Classification Using 1D CNNs In: Proceedings of the Seventh ACM on Conference on Data and Application Security and Privacy

Reference 44

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Observation b8e46d18-09d3-4c9c-8669-ab05cf8ab289 · outbound

This paper cites Sensors 22:3094.

Signal-Based Malware Classification Using 1D CNNs Sensors 22:3094

Reference 45

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Observation 1b9daeb5-8f58-48ed-851e-8b844e70e660 · outbound

This paper cites In: 2014 IEEE Conference on Communications and Network Security, pp 283--291, doi:10.1109/CNS.2014.6997496.

Signal-Based Malware Classification Using 1D CNNs In: 2014 IEEE Conference on Communications and Network Security, pp 283--291, doi:10.1109/CNS.2014.6997496

Reference 46

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-04T23:32:57.728931Z

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Observation ec8e24fa-cec5-4ea0-9576-dbe91d249faf · outbound

This paper cites In: Proceedings of the 8th International Symposium on Visualization for Cyber Security.

Signal-Based Malware Classification Using 1D CNNs In: Proceedings of the 8th International Symposium on Visualization for Cyber Security

Reference 47

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-04T23:32:57.403791Z

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Observation ba4785dc-fdf6-4880-9ca7-82d6bf4deb35 · outbound

This paper cites In: Proceedings of the 4th ACM Workshop on Security and Artificial Intelligence.

Signal-Based Malware Classification Using 1D CNNs In: Proceedings of the 4th ACM Workshop on Security and Artificial Intelligence

Reference 48

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-04T23:32:57.056794Z

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Observation 34bccfa9-51eb-4abf-9961-8cd841cf970e · outbound

This paper cites Virus-MNIST: A Benchmark Malware Dataset.

Signal-Based Malware Classification Using 1D CNNs Virus-MNIST: A Benchmark Malware Dataset

Reference 49

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Observation a7e43f49-ac81-4dde-bf40-950f6b089c92 · outbound

This paper cites Computational Intelligence 38(4):1536--1558.

Signal-Based Malware Classification Using 1D CNNs Computational Intelligence 38(4):1536--1558

Reference 50

Resolution: verified exact; doi, observed 2026-08-04T23:32:54.200508Z

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Observation 96a66dc9-3e14-46df-b521-fcea1239e05f · outbound

This paper cites In: 2023 5th International Conference on Smart Systems and Inventive Technology (ICSSIT), pp 1042--1049, doi:10.1109/ICSSIT55814.2023.10061076.

Signal-Based Malware Classification Using 1D CNNs In: 2023 5th International Conference on Smart Systems and Inventive Technology (ICSSIT), pp 1042--1049, doi:10.1109/ICSSIT55814.2023.10061076

Reference 51

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-04T23:32:56.569227Z

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Observation df1cfcc6-c993-4f0a-bf89-a2cbdf2ae15c · outbound

This paper cites ://api.semanticscholar.org/CorpusID:21388434.

Signal-Based Malware Classification Using 1D CNNs ://api.semanticscholar.org/CorpusID:21388434

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:32:59.752290Z

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Observation 55fc7712-06ee-424e-8af2-152094cdf656 · outbound

This paper cites Microsoft Malware Classification Challenge.

Signal-Based Malware Classification Using 1D CNNs Microsoft Malware Classification Challenge

Reference 53

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Observation b2be86a4-a1ce-48bf-80df-fcb9dff3934f · outbound

This paper cites In: 2019 15th International Wireless Communications & Mobile Computing Conference (IWCMC), pp 561--566, doi:10.1109/IWCMC.2019.8766515.

Signal-Based Malware Classification Using 1D CNNs In: 2019 15th International Wireless Communications & Mobile Computing Conference (IWCMC), pp 561--566, doi:10.1109/IWCMC.2019.8766515

Reference 54

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-04T23:32:55.983562Z

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Observation ed78af3d-198c-4d23-b606-1a47998e1235 · outbound

This paper cites pp 336--349, doi:10.1007/978-3-540-70500-0_25.

Signal-Based Malware Classification Using 1D CNNs pp 336--349, doi:10.1007/978-3-540-70500-0_25

Reference 55

Resolution: verified exact; doi, observed 2026-08-04T23:32:54.065595Z

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Observation 0a46432a-08d8-456c-8a95-c2c8e39b2b36 · outbound

This paper cites International Journal of Network Security & Its Applications (IJNSA) 13(2).

Signal-Based Malware Classification Using 1D CNNs International Journal of Network Security & Its Applications (IJNSA) 13(2)

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:32:59.739921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2bc9108c-78b6-43cd-b642-fdb859ac4e7b · outbound

This paper cites pp 85--98, doi:10.5121/csit.2021.110106.

Signal-Based Malware Classification Using 1D CNNs pp 85--98, doi:10.5121/csit.2021.110106

Reference 57

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-04T23:32:55.570917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation bdfca785-e442-43d4-bc78-505a098a7c5d · outbound

This paper cites Proceedings of the IEEE Computer Society Symposium on Research in Security and Privacy p 38 – 49.

Signal-Based Malware Classification Using 1D CNNs Proceedings of the IEEE Computer Society Symposium on Research in Security and Privacy p 38 – 49

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:32:59.726918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1d831007-ff07-4b04-99e1-38af16e1ec33 · outbound

This paper cites IEEE Access 10:103121–103135.

Signal-Based Malware Classification Using 1D CNNs IEEE Access 10:103121–103135

Reference 60

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-04T23:32:55.339001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 46a4385a-3f9c-45da-aa85-691c01b05884 · outbound

This paper cites In: 29th USENIX Security Symposium (USENIX Security 20).

Signal-Based Malware Classification Using 1D CNNs In: 29th USENIX Security Symposium (USENIX Security 20)

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:32:59.713625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a996aac8-4bf9-4c6c-80e7-e794f440aeda · outbound

This paper cites Computer Modeling in Engineering & Sciences 130:1003--1016.

Signal-Based Malware Classification Using 1D CNNs Computer Modeling in Engineering & Sciences 130:1003--1016

Reference 62

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-04T23:32:55.175089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2edf29d8-f9ba-475b-bc73-59d4f8393712 · outbound

This paper cites Security and Communication Networks 2022:2957203.

Signal-Based Malware Classification Using 1D CNNs Security and Communication Networks 2022:2957203

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-04T23:32:53.752503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a445fd23-52be-466f-9808-ca0ce6783941 · outbound

This paper cites International Journal of Information Security 22(6):1687--1712.

Signal-Based Malware Classification Using 1D CNNs International Journal of Information Security 22(6):1687--1712

Reference 64

Resolution: verified exact; doi, observed 2026-08-04T23:32:53.951412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers