Generative AI for Internet of Things Security: Challenges and Opportunities | Paper Citation Record

Observation 7588687e-7d77-4bf7-ac91-4a9d42971749 · outbound

This paper cites Sedjelmaci, F.

Generative AI for Internet of Things Security: Challenges and Opportunities Sedjelmaci, F

Reference 1

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Observation 7b92ece5-7698-4c3d-a7ee-957b96740bfd · outbound

This paper cites Gupta, C.

Generative AI for Internet of Things Security: Challenges and Opportunities Gupta, C

Reference 2

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Observation 5974738f-88df-4339-8063-e23dc664bf74 · outbound

This paper cites A Comprehensive Overview of Large Language Models (LLMs) for Cyber Defences: Opportunities and Directions.

Generative AI for Internet of Things Security: Challenges and Opportunities A Comprehensive Overview of Large Language Models (LLMs) for Cyber Defences: Opportunities and Directions

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Observation 2515605f-7652-4998-8e12-6b759d198e4d · outbound

This paper cites Kimani, V.

Generative AI for Internet of Things Security: Challenges and Opportunities Kimani, V

Reference 4

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Observation ceb5ec15-9c6c-4d2e-8394-9ee4cc020a98 · outbound

This paper cites Alwahedi, A.

Generative AI for Internet of Things Security: Challenges and Opportunities Alwahedi, A

Reference 5

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Generative AI for Internet of Things Security: Challenges and Opportunities Unresolved cited work

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Observation 9a227f4b-7b51-45f6-b38b-510ea61e555e · outbound

This paper cites Hassija, V.

Generative AI for Internet of Things Security: Challenges and Opportunities Hassija, V

Reference 7

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Observation 3ad95995-2a58-4894-8ad9-7a10682fc15d · outbound

This paper cites Hussain, R.

Generative AI for Internet of Things Security: Challenges and Opportunities Hussain, R

Reference 8

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Observation 9089d4e6-7017-4039-9171-3c1c99aa55be · outbound

This paper cites Sultan, M.

Generative AI for Internet of Things Security: Challenges and Opportunities Sultan, M

Reference 9

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Observation 459d9694-29af-4faf-b7d3-a6f5086a15d8 · outbound

This paper cites Jo, The promise and peril of generative AI, Nature 614 (2023) 214– 216.

Generative AI for Internet of Things Security: Challenges and Opportunities Jo, The promise and peril of generative AI, Nature 614 (2023) 214– 216

Reference 10

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Observation 7a9cc1eb-d908-40f6-a930-68440d82d3f3 · outbound

This paper cites GPT-4 Technical Report.

Generative AI for Internet of Things Security: Challenges and Opportunities GPT-4 Technical Report

Reference 11

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Generative AI for Internet of Things Security: Challenges and Opportunities Unresolved cited work

Reference 12

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This paper cites Daws, US disrupts botnet used by russia-linked APT28 threat group, www.iottechnews.com / (2024).

Generative AI for Internet of Things Security: Challenges and Opportunities Daws, US disrupts botnet used by russia-linked APT28 threat group, www.iottechnews.com / (2024)

Reference 13

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Generative AI for Internet of Things Security: Challenges and Opportunities Unresolved cited work

Reference 14

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This paper cites The World of Generative AI: Deepfakes and Large Language Models.

Generative AI for Internet of Things Security: Challenges and Opportunities The World of Generative AI: Deepfakes and Large Language Models

Reference 15

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This paper cites Zeadally, E.

Generative AI for Internet of Things Security: Challenges and Opportunities Zeadally, E

Reference 16

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This paper cites Alzubaidi, J.

Generative AI for Internet of Things Security: Challenges and Opportunities Alzubaidi, J

Reference 17

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This paper cites Zhang, S.

Generative AI for Internet of Things Security: Challenges and Opportunities Zhang, S

Reference 18

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Generative AI for Internet of Things Security: Challenges and Opportunities Unresolved cited work

Reference 19

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This paper cites Contextual LSTM (CLSTM) models for Large scale NLP tasks.

Generative AI for Internet of Things Security: Challenges and Opportunities Contextual LSTM (CLSTM) models for Large scale NLP tasks

Reference 20

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Reference 21

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This paper cites Yinka-Banjo, O.-A.

Generative AI for Internet of Things Security: Challenges and Opportunities Yinka-Banjo, O.-A

Reference 22

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This paper cites Kaloudi, J.

Generative AI for Internet of Things Security: Challenges and Opportunities Kaloudi, J

Reference 23

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This paper cites McIntosh, T.

Generative AI for Internet of Things Security: Challenges and Opportunities McIntosh, T

Reference 24

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This paper cites Renaud, M.

Generative AI for Internet of Things Security: Challenges and Opportunities Renaud, M

Reference 25

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Generative AI for Internet of Things Security: Challenges and Opportunities Unresolved cited work

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This paper cites Greshake, S.

Generative AI for Internet of Things Security: Challenges and Opportunities Greshake, S

Reference 27

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This paper cites Gupta, C.

Generative AI for Internet of Things Security: Challenges and Opportunities Gupta, C

Reference 28

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This paper cites Lateral Phishing With Large Language Models: A Large Organization Comparative Study.

Generative AI for Internet of Things Security: Challenges and Opportunities Lateral Phishing With Large Language Models: A Large Organization Comparative Study

Reference 29

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This paper cites Hilario, S.

Generative AI for Internet of Things Security: Challenges and Opportunities Hilario, S

Reference 30

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This paper cites PentestGPT: An LLM-empowered Automatic Penetration Testing Tool.

Generative AI for Internet of Things Security: Challenges and Opportunities PentestGPT: An LLM-empowered Automatic Penetration Testing Tool

Reference 31

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This paper cites Ahmadi, Open AI and its impact on fraud detection in financial in- dustry, Sina, A.(2023).

Generative AI for Internet of Things Security: Challenges and Opportunities Ahmadi, Open AI and its impact on fraud detection in financial in- dustry, Sina, A.(2023)

Reference 32

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This paper cites Impacts and Risk of Generative AI Technology on Cyber Defense.

Generative AI for Internet of Things Security: Challenges and Opportunities Impacts and Risk of Generative AI Technology on Cyber Defense

Reference 33

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This paper cites Fundamentals of Generative Large Language Models and Perspectives in Cyber-Defense.

Generative AI for Internet of Things Security: Challenges and Opportunities Fundamentals of Generative Large Language Models and Perspectives in Cyber-Defense

Reference 34

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This paper cites URL: https://attack.mitre.org/ mitigations/ics/.

Generative AI for Internet of Things Security: Challenges and Opportunities URL: https://attack.mitre.org/ mitigations/ics/

Reference 36

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Generative AI for Internet of Things Security: Challenges and Opportunities Kavian, M

Reference 37

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Reference 39

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This paper cites HuntGPT: Integrating Machine Learning-Based Anomaly Detection and Explainable AI with Large Language Models (LLMs).

Generative AI for Internet of Things Security: Challenges and Opportunities HuntGPT: Integrating Machine Learning-Based Anomaly Detection and Explainable AI with Large Language Models (LLMs)

Reference 40

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This paper cites Tavallaee, E.

Generative AI for Internet of Things Security: Challenges and Opportunities Tavallaee, E

Reference 42

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This paper cites LLMind: Orchestrating AI and IoT with LLM for Complex Task Execution.

Generative AI for Internet of Things Security: Challenges and Opportunities LLMind: Orchestrating AI and IoT with LLM for Complex Task Execution

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This paper cites A hybrid LLM workflow can help identify user privilege related variables in programs of any size.

Generative AI for Internet of Things Security: Challenges and Opportunities A hybrid LLM workflow can help identify user privilege related variables in programs of any size

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This paper cites AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation.

Generative AI for Internet of Things Security: Challenges and Opportunities AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

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This paper cites Cyber Sentinel: Exploring Conversational Agents in Streamlining Security Tasks with GPT-4.

Generative AI for Internet of Things Security: Challenges and Opportunities Cyber Sentinel: Exploring Conversational Agents in Streamlining Security Tasks with GPT-4

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Generative AI for Internet of Things Security: Challenges and Opportunities VIoTGPT: Learning to Schedule Vision Tools in LLMs towards Intelligent Video Internet of Things

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This paper cites LLM for SoC Security: A Paradigm Shift.

Generative AI for Internet of Things Security: Challenges and Opportunities LLM for SoC Security: A Paradigm Shift

Reference 50

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Generative AI for Internet of Things Security: Challenges and Opportunities Guastalla, Y

Reference 52

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Generative AI for Internet of Things Security: Challenges and Opportunities Unresolved cited work

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Generative AI for Internet of Things Security: Challenges and Opportunities LLM-Powered Code Vulnerability Repair with Reinforcement Learning and Semantic Reward

Reference 55

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Generative AI for Internet of Things Security: Challenges and Opportunities Bhandari, A

Reference 56

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Generative AI for Internet of Things Security: Challenges and Opportunities DefectHunter: A Novel LLM-Driven Boosted-Conformer-based Code Vulnerability Detection Mechanism

Reference 57

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Generative AI for Internet of Things Security: Challenges and Opportunities Jin, Pongo-70b dataset (2023)

Reference 59

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Generative AI for Internet of Things Security: Challenges and Opportunities URL: https://nvd

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Generative AI for Internet of Things Security: Challenges and Opportunities Adams, AttackGen (2024)

Reference 61

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Generative AI for Internet of Things Security: Challenges and Opportunities Yamin, E

Reference 62

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fc1fe6d2-9823-4618-a76e-08636a0ad544 · outbound

This paper cites LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning.

Generative AI for Internet of Things Security: Challenges and Opportunities LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-07T23:23:49.812601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 017076ff-676b-4323-a8d8-053f2104c8b0 · outbound

This paper cites AutoAttacker: A Large Language Model Guided System to Implement Automatic Cyber-attacks.

Generative AI for Internet of Things Security: Challenges and Opportunities AutoAttacker: A Large Language Model Guided System to Implement Automatic Cyber-attacks

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-07T23:23:49.817436Z

Source-reported events for the cited work

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Observation 20cb4741-7aef-4781-a3f0-8da80e927a9e · outbound

This paper cites LLMs in Web Development: Evaluating LLM-Generated PHP Code Unveiling Vulnerabilities and Limitations.

Generative AI for Internet of Things Security: Challenges and Opportunities LLMs in Web Development: Evaluating LLM-Generated PHP Code Unveiling Vulnerabilities and Limitations

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-07T23:23:49.821955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72aeca70-1098-4ffa-9931-745083312600 · outbound

This paper cites Fuzzing BusyBox: Leveraging LLM and Crash Reuse for Embedded Bug Unearthing.

Generative AI for Internet of Things Security: Challenges and Opportunities Fuzzing BusyBox: Leveraging LLM and Crash Reuse for Embedded Bug Unearthing

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-07T23:23:49.826753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab028ee5-5bc9-4d67-9e22-3725fa423f1f · outbound

This paper cites Happe, A.

Generative AI for Internet of Things Security: Challenges and Opportunities Happe, A

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-07T23:23:49.831611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eaaa9934-b6e6-428a-a48c-8656e21d9b9f · outbound

This paper cites an unresolved cited work.

Generative AI for Internet of Things Security: Challenges and Opportunities Unresolved cited work

Reference 68

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-07T23:23:51.193726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 761ea9c6-4bc7-4613-a233-8f6047742909 · outbound

This paper cites an unresolved cited work.

Generative AI for Internet of Things Security: Challenges and Opportunities Unresolved cited work

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-07T23:23:49.840853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02ce66f4-8b38-4fdd-8113-b88eb9d00b37 · outbound

This paper cites an unresolved cited work.

Generative AI for Internet of Things Security: Challenges and Opportunities Unresolved cited work

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-07T23:23:49.845485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0f40613-9077-4c5b-b44f-0c24af41b5cc · outbound

This paper cites LLM Agents can Autonomously Exploit One-day Vulnerabilities.

Generative AI for Internet of Things Security: Challenges and Opportunities LLM Agents can Autonomously Exploit One-day Vulnerabilities

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-07T23:23:49.849936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0c02525-2155-499d-af72-8124ed3570b0 · outbound

This paper cites an unresolved cited work.

Generative AI for Internet of Things Security: Challenges and Opportunities Unresolved cited work

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-07T23:23:49.855071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c60e60c8-3ec2-44cd-8cfe-45641c81e84b · outbound

This paper cites Piggott, S.

Generative AI for Internet of Things Security: Challenges and Opportunities Piggott, S

Reference 73

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-07T23:23:51.012421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c4ab0263-1788-4d85-aaec-3a1e0a9a0412 · outbound

This paper cites Happe, J.

Generative AI for Internet of Things Security: Challenges and Opportunities Happe, J

Reference 74

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-07T23:23:50.856082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0a44d773-ea51-45cf-9fb9-b6da3fa3494a · outbound

This paper cites Yang, IoT software vulnerability detection techniques through large language model, in: International Conference on Formal Engineering Methods, Springer, 2023, pp.

Generative AI for Internet of Things Security: Challenges and Opportunities Yang, IoT software vulnerability detection techniques through large language model, in: International Conference on Formal Engineering Methods, Springer, 2023, pp

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-07T23:23:49.869205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4093d9ce-7017-4e98-850d-63ab91f91470 · outbound

This paper cites Prensky, Digital game-based learning, Comput.

Generative AI for Internet of Things Security: Challenges and Opportunities Prensky, Digital game-based learning, Comput

Reference 76

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-07T23:23:50.683285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 796d02f7-ccb8-46ba-9fa2-0d292fda2065 · outbound

This paper cites an unresolved cited work.

Generative AI for Internet of Things Security: Challenges and Opportunities Unresolved cited work

Reference 77

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-07T23:23:50.517470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7a03bd3f-d48f-45e8-9004-c2a8e83e2f15 · outbound

This paper cites an unresolved cited work.

Generative AI for Internet of Things Security: Challenges and Opportunities Unresolved cited work

Reference 78

Resolution: verified exact; doi, observed 2026-08-07T23:23:50.198065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7f231f0d-badc-4e7b-93b3-0ce5391e7a12 · outbound

This paper cites an unresolved cited work.

Generative AI for Internet of Things Security: Challenges and Opportunities Unresolved cited work

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-07T23:23:49.886996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8fa8e97-3ff8-4632-93ff-f6f41af29e2f · outbound

This paper cites URL: https://attack.mitre.org/ groups/G0035/.

Generative AI for Internet of Things Security: Challenges and Opportunities URL: https://attack.mitre.org/ groups/G0035/

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-07T23:23:49.891772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61b43f6f-2276-4fbb-98cb-436bdf0c841c · outbound

This paper cites Large Language Models for Supply Chain Optimization.

Generative AI for Internet of Things Security: Challenges and Opportunities Large Language Models for Supply Chain Optimization

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-07T23:23:49.896442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 692da705-41ee-47ee-9e07-b3f0e34463e9 · outbound

This paper cites Munley, A.

Generative AI for Internet of Things Security: Challenges and Opportunities Munley, A

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-07T23:23:49.901397Z

Source-reported events for the cited work

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Observation 8894fb57-d9f6-4fe5-bbfe-9edb61354f57 · outbound

This paper cites an unresolved cited work.

Generative AI for Internet of Things Security: Challenges and Opportunities Unresolved cited work

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-07T23:23:49.907040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49ac605a-d8aa-4363-bc14-2b72f1b3f101 · outbound

This paper cites an unresolved cited work.

Generative AI for Internet of Things Security: Challenges and Opportunities Unresolved cited work

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-07T23:23:49.916657Z

Source-reported events for the cited work

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Observation 98dbbd80-f85d-4033-80c1-24f07c4df0d9 · outbound

This paper cites an unresolved cited work.

Generative AI for Internet of Things Security: Challenges and Opportunities Unresolved cited work

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-07T23:23:49.921294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1b47f66-bd9c-4be5-a736-2a85f9939220 · outbound

This paper cites an unresolved cited work.

Generative AI for Internet of Things Security: Challenges and Opportunities Unresolved cited work

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-07T23:23:49.932182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17ad3bfd-1b3b-426e-9f78-cd9abe418b29 · outbound

This paper cites Phase 2: Detection Objectives: • Test the company’s ability to detect anomalies activities associated with a supply chain compromise.

Generative AI for Internet of Things Security: Challenges and Opportunities Phase 2: Detection Objectives: • Test the company’s ability to detect anomalies activities associated with a supply chain compromise

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-07T23:23:49.937360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ab1510c-defc-49af-a5e9-35278de88d29 · outbound

This paper cites an unresolved cited work.

Generative AI for Internet of Things Security: Challenges and Opportunities Unresolved cited work

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-07T23:23:49.942354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43028547-d060-4aa8-bf09-1a5199204c01 · outbound

This paper cites an unresolved cited work.

Generative AI for Internet of Things Security: Challenges and Opportunities Unresolved cited work

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-07T23:23:49.947226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 345be26c-113d-4840-97a8-e8adf270cdb4 · outbound

This paper cites Phase 3: Containment Objectives: • Evaluate the company’s capability to contain the threat and prevent further damage.

Generative AI for Internet of Things Security: Challenges and Opportunities Phase 3: Containment Objectives: • Evaluate the company’s capability to contain the threat and prevent further damage

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-07T23:23:49.951880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff30b1fd-9cf8-49e1-b6e5-3bab5f01e1df · outbound

This paper cites an unresolved cited work.

Generative AI for Internet of Things Security: Challenges and Opportunities Unresolved cited work

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-07T23:23:49.955952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 859ee2b9-fddb-455f-a978-238439298526 · outbound

This paper cites Phase 4: Eradication Objectives: • Test the company’s ability to remove the threat from a ffected systems.

Generative AI for Internet of Things Security: Challenges and Opportunities Phase 4: Eradication Objectives: • Test the company’s ability to remove the threat from a ffected systems

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-07T23:23:49.964671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4c41341-1d1c-4303-96f0-b48aefe5a47b · outbound

This paper cites an unresolved cited work.

Generative AI for Internet of Things Security: Challenges and Opportunities Unresolved cited work

Reference 96

Resolution: unresolved; raw_fallback, observed 2026-08-07T23:23:53.558728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2beeb69b-e134-4f8f-a942-5aad18266d0d · outbound

This paper cites an unresolved cited work.

Generative AI for Internet of Things Security: Challenges and Opportunities Unresolved cited work

Reference 97

Resolution: unresolved; raw_fallback, observed 2026-08-07T23:23:53.543859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 671e9f20-198e-4a71-848b-70b0412ee039 · outbound

This paper cites Phase 5: Recovery Objectives: • Assess the company’s procedures for restoring normal operations.

Generative AI for Internet of Things Security: Challenges and Opportunities Phase 5: Recovery Objectives: • Assess the company’s procedures for restoring normal operations

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:23:53.529101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c009dd1c-3b38-4aef-b4d7-1352befd7888 · outbound

This paper cites an unresolved cited work.

Generative AI for Internet of Things Security: Challenges and Opportunities Unresolved cited work

Reference 99

Resolution: unresolved; raw_fallback, observed 2026-08-07T23:23:53.514145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0b16f1ca-e78b-4070-a8b3-f0367f4f0d1b · outbound

This paper cites an unresolved cited work.

Generative AI for Internet of Things Security: Challenges and Opportunities Unresolved cited work

Reference 100

Resolution: unresolved; raw_fallback, observed 2026-08-07T23:23:53.498812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 40c07592-d9b9-4822-93b0-6f858b0fd063 · outbound

This paper cites Phase 6: Lessons Learned Objectives: • Review the incident response process to identify strengths and areas for improvement.

Generative AI for Internet of Things Security: Challenges and Opportunities Phase 6: Lessons Learned Objectives: • Review the incident response process to identify strengths and areas for improvement

Reference 101

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:23:53.483650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 62dbd827-3992-431b-b51d-afdef590ca5b · outbound

This paper cites an unresolved cited work.

Generative AI for Internet of Things Security: Challenges and Opportunities Unresolved cited work

Reference 102

Resolution: unresolved; raw_fallback, observed 2026-08-07T23:23:53.468732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 77faf3a6-4add-4907-a6c7-ea506f5da92b · outbound

This paper cites an unresolved cited work.

Generative AI for Internet of Things Security: Challenges and Opportunities Unresolved cited work

Reference 103

Resolution: unresolved; raw_fallback, observed 2026-08-07T23:23:53.453931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5007094f-0b63-4066-aa32-5325dda05146 · outbound

This paper cites Evaluation Criteria.

Generative AI for Internet of Things Security: Challenges and Opportunities Evaluation Criteria

Reference 104

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:23:53.439354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers