Flow-Based Detection and Identification of Zero-Day IoT Cameras | Paper Citation Record

Observation 4b93210b-243b-487b-a1ef-5ba58c234a8e · outbound

This paper cites Global smart cameras market overview,.

Flow-Based Detection and Identification of Zero-Day IoT Cameras Global smart cameras market overview,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:12:56.736798Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8cdcd260-8b88-4735-9a02-c64ffe510818 · outbound

This paper cites Smart cameras market,.

Flow-Based Detection and Identification of Zero-Day IoT Cameras Smart cameras market,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:12:56.722183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c6cbd09a-9850-453b-b532-b0a508559f41 · outbound

This paper cites Voices of first responders—nationwide public safety com- munication survey methodology: Development, dissemination, and demographics,.

Flow-Based Detection and Identification of Zero-Day IoT Cameras Voices of first responders—nationwide public safety com- munication survey methodology: Development, dissemination, and demographics,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:12:56.708158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0dfda90f-9d20-47fb-94aa-1accce71c071 · outbound

This paper cites Con- siderations for managing internet of things (iot) cybersecurity and privacy risks,.

Flow-Based Detection and Identification of Zero-Day IoT Cameras Con- siderations for managing internet of things (iot) cybersecurity and privacy risks,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:12:56.693595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 80959136-365d-40d8-9936-270d3e34b3ce · outbound

This paper cites Signature-based and behavior-based attack detection with machine learning for home iot devices,.

Flow-Based Detection and Identification of Zero-Day IoT Cameras Signature-based and behavior-based attack detection with machine learning for home iot devices,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:12:56.679866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1818622a-d4a1-4653-b1a5-fec25d41f0db · outbound

This paper cites Network intrusion detection for iot security based on learning techniques,.

Flow-Based Detection and Identification of Zero-Day IoT Cameras Network intrusion detection for iot security based on learning techniques,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:12:56.665467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cb234e24-f623-42a3-8bf8-ddc2aa4ad7d3 · outbound

This paper cites Snort: Lightweight intrusion detec- tion for networks.

Flow-Based Detection and Identification of Zero-Day IoT Cameras Snort: Lightweight intrusion detec- tion for networks

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:12:56.650714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c4f11979-d272-46f1-996e-3ea0cc9dfd30 · outbound

This paper cites Suricata open source ids/ips/nsm engine (2019).

Flow-Based Detection and Identification of Zero-Day IoT Cameras Suricata open source ids/ips/nsm engine (2019)

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:12:56.636090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 80a75041-b133-4840-9d02-692491ad601d · outbound

This paper cites Canary Case Study,.

Flow-Based Detection and Identification of Zero-Day IoT Cameras Canary Case Study,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:12:56.622762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 07c0523f-0a98-43ef-acf6-bb088c8fa62e · outbound

This paper cites An iot analysis framework: An inves- tigation of iot smart cameras’ vulnerabilities,.

Flow-Based Detection and Identification of Zero-Day IoT Cameras An iot analysis framework: An inves- tigation of iot smart cameras’ vulnerabilities,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:12:56.609507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3d7ccf3d-4580-4a41-b88c-6ea1aff7d7c8 · outbound

This paper cites Testing iot security: The case study of an ip camera,.

Flow-Based Detection and Identification of Zero-Day IoT Cameras Testing iot security: The case study of an ip camera,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:12:56.595854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fc760ca8-bdb4-43bf-bc05-fd1b796ce3ac · outbound

This paper cites Investigating security and privacy of a cloud-based wireless ip camera: Netcam,.

Flow-Based Detection and Identification of Zero-Day IoT Cameras Investigating security and privacy of a cloud-based wireless ip camera: Netcam,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:12:56.581379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 36451bca-26be-4247-932d-7ffbdfe1f6d3 · outbound

This paper cites Security analysis of emerg- ing smart home applications,.

Flow-Based Detection and Identification of Zero-Day IoT Cameras Security analysis of emerg- ing smart home applications,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:12:56.567207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 02ab269d-5145-405b-a521-728b26284448 · outbound

This paper cites Classifying iot devices in smart environments using network traffic characteristics,.

Flow-Based Detection and Identification of Zero-Day IoT Cameras Classifying iot devices in smart environments using network traffic characteristics,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:12:56.553498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2c9a2976-b68c-4974-81e0-128f72416b91 · outbound

This paper cites Iothunter: Iot net- work traffic classification using device specific keywords,.

Flow-Based Detection and Identification of Zero-Day IoT Cameras Iothunter: Iot net- work traffic classification using device specific keywords,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:12:56.539613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e6b2e636-6115-4e11-acf5-ab106d21d414 · outbound

This paper cites Led light bulb camera wireless ip cctv camera fisheye panoramic view, p2p, 5mp ultra hd,.

Flow-Based Detection and Identification of Zero-Day IoT Cameras Led light bulb camera wireless ip cctv camera fisheye panoramic view, p2p, 5mp ultra hd,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:12:56.526054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 09ff3738-696b-4f8f-82a9-f77454c76c2d · outbound

This paper cites Characterizing Smart Home IoT Traffic in the Wild.

Flow-Based Detection and Identification of Zero-Day IoT Cameras Characterizing Smart Home IoT Traffic in the Wild

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-15T16:12:55.950955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bd21e705-17f7-4a65-b8fe-ca5edfb5bed5 · outbound

This paper cites icamin- spector: Classify video traffic and detect iot (spy) camera flows,.

Flow-Based Detection and Identification of Zero-Day IoT Cameras icamin- spector: Classify video traffic and detect iot (spy) camera flows,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:12:56.511517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cb32185e-dfe5-4e05-8f03-88624d326837 · outbound

This paper cites icaminspector,.

Flow-Based Detection and Identification of Zero-Day IoT Cameras icaminspector,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:12:56.497777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 61db3128-c5f2-4c36-b3df-8b2cc950eaeb · outbound

This paper cites Cicflowmeter-v4.0 (formerly known as is- cxflowmeter) is a network traffic bi-flow generator and analyser for anomaly detection,.

Flow-Based Detection and Identification of Zero-Day IoT Cameras Cicflowmeter-v4.0 (formerly known as is- cxflowmeter) is a network traffic bi-flow generator and analyser for anomaly detection,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:12:56.484096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e153f001-9807-422b-b1fd-42575812fa06 · outbound

This paper cites zcaminspector,.

Flow-Based Detection and Identification of Zero-Day IoT Cameras zcaminspector,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:12:56.470210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8e2b53a3-c702-480f-871c-114558d70843 · outbound

This paper cites Are there wireless hidden cameras spying on me?.

Flow-Based Detection and Identification of Zero-Day IoT Cameras Are there wireless hidden cameras spying on me?

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:12:56.455651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d8eba7b9-9bbb-47a4-9acd-16045a991beb · outbound

This paper cites Dewicam: Detecting hidden wireless cameras via smartphones,.

Flow-Based Detection and Identification of Zero-Day IoT Cameras Dewicam: Detecting hidden wireless cameras via smartphones,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T16:12:55.621760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f78700e0-2e76-4d9e-9fe5-c81bd9ed4f76 · outbound

This paper cites Iot-praetor: Undesired behaviors detection for iot devices,.

Flow-Based Detection and Identification of Zero-Day IoT Cameras Iot-praetor: Undesired behaviors detection for iot devices,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:12:56.441483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5ee377e9-1584-45e2-8563-6b7b8f1d0f21 · outbound

This paper cites The decoyport: Redirecting hackers to honeypots,.

Flow-Based Detection and Identification of Zero-Day IoT Cameras The decoyport: Redirecting hackers to honeypots,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:12:56.426215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c6dc5428-d76c-40fc-8358-793ff592a729 · outbound

This paper cites Siphon: Towards scalable high-interaction physical honeypots,.

Flow-Based Detection and Identification of Zero-Day IoT Cameras Siphon: Towards scalable high-interaction physical honeypots,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:12:56.409610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 564d3dfe-b5fa-4bbc-bf31-88b4b3808082 · outbound

This paper cites Detecting hidden wireless cameras through network traffic analysis,.

Flow-Based Detection and Identification of Zero-Day IoT Cameras Detecting hidden wireless cameras through network traffic analysis,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:12:56.395139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3c949d89-a25e-40f2-8c3c-905c846c2995 · outbound

This paper cites Homonit: Monitoring smart home apps from encrypted traffic,.

Flow-Based Detection and Identification of Zero-Day IoT Cameras Homonit: Monitoring smart home apps from encrypted traffic,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:12:56.380795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 61a6a990-cb8b-46ce-b91f-1bce792c0d16 · outbound

This paper cites Toward detecting iot device traffic in tran- sit networks,.

Flow-Based Detection and Identification of Zero-Day IoT Cameras Toward detecting iot device traffic in tran- sit networks,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:12:56.366403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 70641c13-0bf8-4b5c-9463-26c87aa1f166 · outbound

This paper cites Can we classify an iot device using tcp port scan?.

Flow-Based Detection and Identification of Zero-Day IoT Cameras Can we classify an iot device using tcp port scan?

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:12:56.351224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 02cbef61-b7e6-4e07-a04c-1269938d1aca · outbound

This paper cites Securing smart homes via software-defined networking and low-cost traffic classifica- tion,.

Flow-Based Detection and Identification of Zero-Day IoT Cameras Securing smart homes via software-defined networking and low-cost traffic classifica- tion,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:12:56.336681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b41e8e2b-26ef-4d81-8d0c-6d20c4aeb011 · outbound

This paper cites Uncovering vulnerable industrial control systems from the internet core,.

Flow-Based Detection and Identification of Zero-Day IoT Cameras Uncovering vulnerable industrial control systems from the internet core,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:12:56.323071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7afca0b5-4fa0-44e8-a837-4d3655185aec · outbound

This paper cites Smart lamp or security camera? automatic identification of iot devices,.

Flow-Based Detection and Identification of Zero-Day IoT Cameras Smart lamp or security camera? automatic identification of iot devices,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:12:56.308712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a9be5b95-2a67-4e51-901e-5a2784e31384 · outbound

This paper cites A framework for mitigating zero-day attacks in IoT.

Flow-Based Detection and Identification of Zero-Day IoT Cameras A framework for mitigating zero-day attacks in IoT

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-08-15T16:12:55.842306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fdc62943-43b9-4026-982c-d626c1f1d759 · outbound

This paper cites Diot: A federated self-learning anomaly de- tection system for iot,.

Flow-Based Detection and Identification of Zero-Day IoT Cameras Diot: A federated self-learning anomaly de- tection system for iot,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:12:56.293749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0187d7e0-8f74-4ebe-8c5c-a374e02f60fd · outbound

This paper cites Zero day threat detection using graph and flow based security telemetry,.

Flow-Based Detection and Identification of Zero-Day IoT Cameras Zero day threat detection using graph and flow based security telemetry,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:12:56.278281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2b918db8-a2a3-43a3-a6a6-47226ca334d1 · outbound

This paper cites A scalable approach to internet of things and industrial internet of things security: Evaluating adaptive self-adjusting memory k-nearest neighbor for zero-day attack detection,.

Flow-Based Detection and Identification of Zero-Day IoT Cameras A scalable approach to internet of things and industrial internet of things security: Evaluating adaptive self-adjusting memory k-nearest neighbor for zero-day attack detection,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:12:56.263722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 502742e4-2dcb-422e-9c69-9fa050941b60 · outbound

This paper cites An adversarial approach for intrusion detection using hybrid deep learning model,.

Flow-Based Detection and Identification of Zero-Day IoT Cameras An adversarial approach for intrusion detection using hybrid deep learning model,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:12:56.248651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1f3f330d-79bd-417a-a104-41f38f01e85b · outbound

This paper cites Image-based zero-day malware detection in iomt devices: A hybrid ai-enabled method,.

Flow-Based Detection and Identification of Zero-Day IoT Cameras Image-based zero-day malware detection in iomt devices: A hybrid ai-enabled method,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:12:56.232900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b43d60b8-dc9a-4ffe-8988-fdd9ee25e019 · outbound

This paper cites Zero-day attacks: Review of the meth- ods used based on intrusion detection and prevention systems,.

Flow-Based Detection and Identification of Zero-Day IoT Cameras Zero-day attacks: Review of the meth- ods used based on intrusion detection and prevention systems,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:12:56.216106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation be538bc4-f143-438b-a4fb-ffcf211d459b · outbound

This paper cites Hms-ids: Threat intelligence integration for zero-day exploits and advanced persistent threats in iiot,.

Flow-Based Detection and Identification of Zero-Day IoT Cameras Hms-ids: Threat intelligence integration for zero-day exploits and advanced persistent threats in iiot,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:12:56.200927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fc63e80b-8d81-498b-840b-51fe57f8b949 · outbound

This paper cites Towards detection of zero-day botnet attack in iot networks using fed- erated learning,.

Flow-Based Detection and Identification of Zero-Day IoT Cameras Towards detection of zero-day botnet attack in iot networks using fed- erated learning,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:12:56.185493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e0425490-2172-4f20-a12e-f7fd0595a346 · outbound

This paper cites A zero-day container attack detec- tion based on ensemble machine learning,.

Flow-Based Detection and Identification of Zero-Day IoT Cameras A zero-day container attack detec- tion based on ensemble machine learning,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:12:56.170758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9d0c82d2-5e6f-47f6-984b-7b966a98dcc7 · outbound

This paper cites Zero-day threats detection for critical infrastructures,.

Flow-Based Detection and Identification of Zero-Day IoT Cameras Zero-day threats detection for critical infrastructures,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:12:56.156249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 93024438-064e-4b85-b34e-dcb308fb0d1e · outbound

This paper cites A deep learning ensemble approach to detecting unknown network attacks,.

Flow-Based Detection and Identification of Zero-Day IoT Cameras A deep learning ensemble approach to detecting unknown network attacks,

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-15T16:12:55.710547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8985eff4-eec2-4767-beed-346b91ec1244 · outbound

This paper cites Automated iot device fingerprint- ing through encrypted stream classification,.

Flow-Based Detection and Identification of Zero-Day IoT Cameras Automated iot device fingerprint- ing through encrypted stream classification,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:12:56.131938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6961b798-f190-42bf-b13e-2361191ad963 · outbound

This paper cites Iot-keeper: Detecting malicious iot network activity using online traffic anal- ysis at the edge,.

Flow-Based Detection and Identification of Zero-Day IoT Cameras Iot-keeper: Detecting malicious iot network activity using online traffic anal- ysis at the edge,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:12:56.117156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation eaedfa22-58c4-40df-89f8-29b19c1745f1 · outbound

This paper cites Estimating the support of a high-dimensional distri- bution,.

Flow-Based Detection and Identification of Zero-Day IoT Cameras Estimating the support of a high-dimensional distri- bution,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:12:56.102047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 971e074a-1dc8-4b34-9837-e299bcdaec6a · outbound

This paper cites Toward su- pervised anomaly detection,.

Flow-Based Detection and Identification of Zero-Day IoT Cameras Toward su- pervised anomaly detection,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:12:56.085579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f0b83a30-3db6-44fc-af36-0c1e4206e970 · outbound

This paper cites Isolation forest,.

Flow-Based Detection and Identification of Zero-Day IoT Cameras Isolation forest,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:12:56.069447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 54dd7095-aabc-4303-bc08-9f8aef0345a9 · outbound

This paper cites Deep one- class classification,.

Flow-Based Detection and Identification of Zero-Day IoT Cameras Deep one- class classification,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:12:56.052976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8d149c29-9f04-47c7-ad4c-c8b9fb3dc707 · outbound

This paper cites An Efficient One-Class SVM for Anomaly Detection in the Internet of Things.

Flow-Based Detection and Identification of Zero-Day IoT Cameras An Efficient One-Class SVM for Anomaly Detection in the Internet of Things

Reference 52

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This paper cites Anomaly detection using unsupervised machine learning algorithms: A simulation study,.

Flow-Based Detection and Identification of Zero-Day IoT Cameras Anomaly detection using unsupervised machine learning algorithms: A simulation study,

Reference 53

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This paper cites Deep anomaly detection for time-series data in indus- trial iot: A communication-efficient on-device federated learning approach,.

Flow-Based Detection and Identification of Zero-Day IoT Cameras Deep anomaly detection for time-series data in indus- trial iot: A communication-efficient on-device federated learning approach,

Reference 54

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This paper cites Isolation forest,.

Flow-Based Detection and Identification of Zero-Day IoT Cameras Isolation forest,

Reference 55

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Flow-Based Detection and Identification of Zero-Day IoT Cameras Sparse random projection isolation forest for outlier detection,

Reference 56

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This paper cites Zero-day guardian: A dual model enabled federated learning framework for handling zero-day attacks in 5g enabled iiot,.

Flow-Based Detection and Identification of Zero-Day IoT Cameras Zero-day guardian: A dual model enabled federated learning framework for handling zero-day attacks in 5g enabled iiot,

Reference 57

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This paper cites Learning and Evaluating Representations for Deep One-class Classification.

Flow-Based Detection and Identification of Zero-Day IoT Cameras Learning and Evaluating Representations for Deep One-class Classification

Reference 58

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This paper cites I always feel like somebody’s sensing me! a framework to detect, identify, and localize clandestine wireless sensors,.

Flow-Based Detection and Identification of Zero-Day IoT Cameras I always feel like somebody’s sensing me! a framework to detect, identify, and localize clandestine wireless sensors,

Reference 59

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