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Which attack type is most likely given the correlation (e.g., packet-in flooding, flow-rule injection, table flush/overflow, topology poisoning, MITM, scanning)? Explain briefly. | Our Solution: scanning. (overall high confidence). Evidence indicates OVS/SDN signals with flow symptoms signals and hints signals. The correlation across SystemCalls, OVS/SDN suggests this pattern. |
Which SDN plane and components are primarily affected (control plane, data plane, control channel; specific controller/switch/port/table)? | Our Solution: control plane and data plane are primarily affected — components likely include data-plane flows, host processes/syscalls, power measurements. (overall high confidence). Evidence indicates Observed signals / signals and host traces and power measurements / signals. |
Which OpenFlow rule/table/port symptoms best explain the observed flow behavior? | Our Solution: Flow behavior is best explained by OVS rules and table/port signals []. (overall high confidence). Evidence indicates Correlated NetFlow patterns align with rule/table changes; hints include signals. |
What physical-layer effect in the power measurements would you expect (if any), and do the sources support it? | Our Solution: transient power/voltage deviation is plausible. (overall high confidence). Evidence indicates Power signals vs cyber signals signals / signals / []. Correlation confidence 0.91. |
Reconstruct the likely incident timeline from the given sources and correlation hints. | Our Solution: Control/OVS changes likely precede NetFlow anomalies, followed by host traces, then any power response. (overall high confidence). Evidence indicates OVS [] → Flows signals → Syscalls signals → Power signals. |
What is the most plausible root cause within the SDN stack and why? | Our Solution: A control-plane configuration or rule push is the most plausible root cause. (overall high confidence). Evidence indicates OVS-side signals [] co-occur with flow shifts signals; host-side signals provide auxiliary cues. |
Is there evidence of topology inconsistency or LLDP forgery? Summarize the indicators. | Our Solution: Potential topology inconsistency cannot be ruled out. (overall high confidence). Evidence indicates Topology-related tokens within OVS [] and correlation hints signals; check LLDP events around the same time. |
Which host-side activities (system calls) are most relevant and how do they align with network/OVS evidence? | Our Solution: Host-side syscalls signals align with the SDN/flow evidence. (overall high confidence). Evidence indicates SC:proc:TCP_Receive; cross-modal alignment with signals and []. |
What immediate mitigations would you recommend (e.g., rule rollback, rate limiting, port isolation, controller hardening) and what side effects are expected? | Our Solution: Roll back suspicious rules, rate-limit abnormal flows, isolate noisy ports, and harden the controller. (overall high confidence). |
Which parts of the context look like benign look-alikes or weakly correlated signals? Justify. | Our Solution: Some signals appear weakly correlated or likely benign. (overall high confidence). Evidence indicates Sparse alignment between signals and []; host traces and power measurements / signals are inconclusive. |
If this hypothesis were true, which cross-modal signals should also appear but are missing here? | Our Solution: If the hypothesis holds, we should also observe stronger SystemCalls signals. (overall high confidence). |
Assign a severity level and a confidence score, and justify them using the correlation hints. | Our Solution: Severity high, confidence 0.88 . Evidence indicates Cross-modal alignment among SystemCalls, OVS/SDN with signals / signals / signals / signals. |
What uncertainty remains, and what additional data or probes would most reduce it? | Our Solution: Key uncertainty remains around the persistence and scope. (overall high confidence).Next steps: controller logs, LLDP traces, per-port counters over time, and higher-resolution power samples. |
What if a key flow rule is reverted or disabled—what changes would you expect in other modalities? | Our Solution: Reverting the suspected rule should reduce abnormal flows and normalize port/table counters. (overall high confidence). |
Provide a concise high-level summary of what the missing target modality is likely expressing, grounded only in the given context. | Our Solution: The missing NetFlow patterns segment likely reflects the correlated pattern summarized by hints signals. (overall high confidence). Evidence indicates Sources Power, OVS/SDN show signals / signals / [] / signals. |
Around what timing would you expect the anomaly to peak relative to baseline, and which evidence supports this? | Our Solution: The anomaly likely peaks near the window where OVS/flow changes co-occur. (overall high confidence). Evidence indicates Concentrated signals with corresponding signals bursts and host/power traces. |
Does the evidence point more to controller-side issues or individual switches/ports? Explain. | Our Solution: Evidence points more to switch/port-specific issues. (overall high confidence). Evidence indicates OVS/table/port signals with flow alignment signals. |
Which path or switch–port chain most likely carried the suspicious traffic, and why? | Our Solution: The suspicious path likely traverses the switches/ports implicated by []. (overall high confidence). Evidence indicates Alignment between OVS counters and NetFlow patterns supports this route. |
Which SDN plane and components are primarily affected (control plane, data plane, control channel; specific controller/switch/port/table)? | Our Solution: control plane and data plane are primarily affected — components likely include data-plane flows, host processes/syscalls, power measurements. (overall high confidence). Evidence indicates Observed signals / signals and host traces and power measurements / signals. |
What physical-layer effect in the power measurements would you expect (if any), and do the sources support it? | Our Solution: transient power/voltage deviation is plausible. (overall high confidence). Evidence indicates Power signals vs cyber signals signals / signals / []. Correlation confidence 0.91. |
Reconstruct the likely incident timeline from the given sources and correlation hints. | Our Solution: Control/OVS changes likely precede NetFlow anomalies, followed by host traces, then any power response. (overall high confidence). Evidence indicates OVS [] → Flows signals → Syscalls signals → Power signals. |
What is the most plausible root cause within the SDN stack and why? | Our Solution: A control-plane configuration or rule push is the most plausible root cause. (overall high confidence). Evidence indicates OVS-side signals [] co-occur with flow shifts signals; host-side signals provide auxiliary cues. |
Is there evidence of topology inconsistency or LLDP forgery? Summarize the indicators. | Our Solution: Potential topology inconsistency cannot be ruled out. (overall high confidence). Evidence indicates Topology-related tokens within OVS [] and correlation hints signals; check LLDP events around the same time. |
Which host-side activities (system calls) are most relevant and how do they align with network/OVS evidence? | Our Solution: Host-side syscalls signals align with the SDN/flow evidence. (overall high confidence). Evidence indicates SC:proc:TCP_Send; cross-modal alignment with signals and []. |
Which parts of the context look like benign look-alikes or weakly correlated signals? Justify. | Our Solution: Some signals appear weakly correlated or likely benign. (overall high confidence). Evidence indicates Sparse alignment between signals and []; host traces and power measurements / signals are inconclusive. |
If this hypothesis were true, which cross-modal signals should also appear but are missing here? | Our Solution: If the hypothesis holds, we should also observe stronger SystemCalls signals. (overall high confidence). |
Assign a severity level and a confidence score, and justify them using the correlation hints. | Our Solution: Severity high, confidence 0.89 . Evidence indicates Cross-modal alignment among SystemCalls, OVS/SDN with signals / signals / signals / signals. |
What uncertainty remains, and what additional data or probes would most reduce it? | Our Solution: Key uncertainty remains around the persistence and scope. (overall high confidence).Next steps: controller logs, LLDP traces, per-port counters over time, and higher-resolution power samples. |
What if a key flow rule is reverted or disabled—what changes would you expect in other modalities? | Our Solution: Reverting the suspected rule should reduce abnormal flows and normalize port/table counters. (overall high confidence). |
Provide a concise high-level summary of what the missing target modality is likely expressing, grounded only in the given context. | Our Solution: The missing NetFlow patterns segment likely reflects the correlated pattern summarized by hints signals. (overall high confidence). Evidence indicates Sources Power, OVS/SDN show signals / signals / [] / signals. |
Around what timing would you expect the anomaly to peak relative to baseline, and which evidence supports this? | Our Solution: The anomaly likely peaks near the window where OVS/flow changes co-occur. (overall high confidence). Evidence indicates Concentrated signals with corresponding signals bursts and host/power traces. |
Does the evidence point more to controller-side issues or individual switches/ports? Explain. | Our Solution: Evidence points more to switch/port-specific issues. (overall high confidence). Evidence indicates OVS/table/port signals with flow alignment signals. |
Which path or switch–port chain most likely carried the suspicious traffic, and why? | Our Solution: The suspicious path likely traverses the switches/ports implicated by []. (overall high confidence). Evidence indicates Alignment between OVS counters and NetFlow patterns supports this route. |
Which attack type is most likely given the correlation (e.g., packet-in flooding, flow-rule injection, table flush/overflow, topology poisoning, MITM, scanning)? Explain briefly. | Our Solution: scanning. (overall high confidence). Evidence indicates OVS/SDN signals with flow symptoms signals and hints signals. The correlation across SystemCalls, OVS/SDN suggests this pattern. |
Which SDN plane and components are primarily affected (control plane, data plane, control channel; specific controller/switch/port/table)? | Our Solution: control plane and data plane are primarily affected — components likely include data-plane flows, host processes/syscalls, power measurements. (overall high confidence). Evidence indicates Observed signals / signals and host traces and power measurements / signals. |
Which OpenFlow rule/table/port symptoms best explain the observed flow behavior? | Our Solution: Flow behavior is best explained by OVS rules and table/port signals []. (overall high confidence). Evidence indicates Correlated NetFlow patterns align with rule/table changes; hints include signals. |
What physical-layer effect in the power measurements would you expect (if any), and do the sources support it? | Our Solution: transient power/voltage deviation is plausible. (overall high confidence). Evidence indicates Power signals vs cyber signals signals / signals / []. Correlation confidence 0.91. |
Reconstruct the likely incident timeline from the given sources and correlation hints. | Our Solution: Control/OVS changes likely precede NetFlow anomalies, followed by host traces, then any power response. (overall high confidence). Evidence indicates OVS [] → Flows signals → Syscalls signals → Power signals. |
What is the most plausible root cause within the SDN stack and why? | Our Solution: A control-plane configuration or rule push is the most plausible root cause. (overall high confidence). Evidence indicates OVS-side signals [] co-occur with flow shifts signals; host-side signals provide auxiliary cues. |
Is there evidence of topology inconsistency or LLDP forgery? Summarize the indicators. | Our Solution: Potential topology inconsistency cannot be ruled out. (overall high confidence). Evidence indicates Topology-related tokens within OVS [] and correlation hints signals; check LLDP events around the same time. |
Which host-side activities (system calls) are most relevant and how do they align with network/OVS evidence? | Our Solution: Host-side syscalls signals align with the SDN/flow evidence. (overall high confidence). Evidence indicates SC:proc:TCP_Send; cross-modal alignment with signals and []. |
What immediate mitigations would you recommend (e.g., rule rollback, rate limiting, port isolation, controller hardening) and what side effects are expected? | Our Solution: Roll back suspicious rules, rate-limit abnormal flows, isolate noisy ports, and harden the controller. (overall high confidence). |
Which parts of the context look like benign look-alikes or weakly correlated signals? Justify. | Our Solution: Some signals appear weakly correlated or likely benign. (overall high confidence). Evidence indicates Sparse alignment between signals and []; host traces and power measurements / signals are inconclusive. |
Assign a severity level and a confidence score, and justify them using the correlation hints. | Our Solution: Severity high, confidence 0.91 . Evidence indicates Cross-modal alignment among SystemCalls, OVS/SDN with signals / signals / signals / signals. |
What uncertainty remains, and what additional data or probes would most reduce it? | Our Solution: Key uncertainty remains around the persistence and scope. (overall high confidence).Next steps: controller logs, LLDP traces, per-port counters over time, and higher-resolution power samples. |
What if a key flow rule is reverted or disabled—what changes would you expect in other modalities? | Our Solution: Reverting the suspected rule should reduce abnormal flows and normalize port/table counters. (overall high confidence). |
Provide a concise high-level summary of what the missing target modality is likely expressing, grounded only in the given context. | Our Solution: The missing NetFlow patterns segment likely reflects the correlated pattern summarized by hints signals. (overall high confidence). Evidence indicates Sources Power, OVS/SDN show signals / signals / [] / signals. |
Around what timing would you expect the anomaly to peak relative to baseline, and which evidence supports this? | Our Solution: The anomaly likely peaks near the window where OVS/flow changes co-occur. (overall high confidence). Evidence indicates Concentrated signals with corresponding signals bursts and host/power traces. |
Does the evidence point more to controller-side issues or individual switches/ports? Explain. | Our Solution: Evidence points more to switch/port-specific issues. (overall high confidence). Evidence indicates OVS/table/port signals with flow alignment signals. |
Which path or switch–port chain most likely carried the suspicious traffic, and why? | Our Solution: The suspicious path likely traverses the switches/ports implicated by []. (overall high confidence). Evidence indicates Alignment between OVS counters and NetFlow patterns supports this route. |
Which SDN plane and components are primarily affected (control plane, data plane, control channel; specific controller/switch/port/table)? | Our Solution: control plane and data plane are primarily affected — components likely include data-plane flows, host processes/syscalls, power measurements. (overall high confidence). Evidence indicates Observed signals / signals and host traces and power measurements / signals. |
Which OpenFlow rule/table/port symptoms best explain the observed flow behavior? | Our Solution: Flow behavior is best explained by OVS rules and table/port signals []. (overall high confidence). Evidence indicates Correlated NetFlow patterns align with rule/table changes; hints include signals. |
What physical-layer effect in the power measurements would you expect (if any), and do the sources support it? | Our Solution: transient power/voltage deviation is plausible. (overall high confidence). Evidence indicates Power signals vs cyber signals signals / signals / []. Correlation confidence 0.91. |
Reconstruct the likely incident timeline from the given sources and correlation hints. | Our Solution: Control/OVS changes likely precede NetFlow anomalies, followed by host traces, then any power response. (overall high confidence). Evidence indicates OVS [] → Flows signals → Syscalls signals → Power signals. |
What is the most plausible root cause within the SDN stack and why? | Our Solution: A control-plane configuration or rule push is the most plausible root cause. (overall high confidence). Evidence indicates OVS-side signals [] co-occur with flow shifts signals; host-side signals provide auxiliary cues. |
Is there evidence of topology inconsistency or LLDP forgery? Summarize the indicators. | Our Solution: Potential topology inconsistency cannot be ruled out. (overall high confidence). Evidence indicates Topology-related tokens within OVS [] and correlation hints signals; check LLDP events around the same time. |
Which host-side activities (system calls) are most relevant and how do they align with network/OVS evidence? | Our Solution: Host-side syscalls signals align with the SDN/flow evidence. (overall high confidence). Evidence indicates SC:proc:TCP_Send; cross-modal alignment with signals and []. |
What immediate mitigations would you recommend (e.g., rule rollback, rate limiting, port isolation, controller hardening) and what side effects are expected? | Our Solution: Roll back suspicious rules, rate-limit abnormal flows, isolate noisy ports, and harden the controller. (overall high confidence). |
If this hypothesis were true, which cross-modal signals should also appear but are missing here? | Our Solution: If the hypothesis holds, we should also observe stronger SystemCalls signals. (overall high confidence). |
Assign a severity level and a confidence score, and justify them using the correlation hints. | Our Solution: Severity high, confidence 0.91 . Evidence indicates Cross-modal alignment among SystemCalls, OVS/SDN with signals / signals / signals / signals. |
What uncertainty remains, and what additional data or probes would most reduce it? | Our Solution: Key uncertainty remains around the persistence and scope. (overall high confidence).Next steps: controller logs, LLDP traces, per-port counters over time, and higher-resolution power samples. |
What if a key flow rule is reverted or disabled—what changes would you expect in other modalities? | Our Solution: Reverting the suspected rule should reduce abnormal flows and normalize port/table counters. (overall high confidence). |
Provide a concise high-level summary of what the missing target modality is likely expressing, grounded only in the given context. | Our Solution: The missing NetFlow patterns segment likely reflects the correlated pattern summarized by hints signals. (overall high confidence). Evidence indicates Sources Power, OVS/SDN show signals / signals / [] / signals. |
Around what timing would you expect the anomaly to peak relative to baseline, and which evidence supports this? | Our Solution: The anomaly likely peaks near the window where OVS/flow changes co-occur. (overall high confidence). Evidence indicates Concentrated signals with corresponding signals bursts and host/power traces. |
Does the evidence point more to controller-side issues or individual switches/ports? Explain. | Our Solution: Evidence points more to switch/port-specific issues. (overall high confidence). Evidence indicates OVS/table/port signals with flow alignment signals. |
Which path or switch–port chain most likely carried the suspicious traffic, and why? | Our Solution: The suspicious path likely traverses the switches/ports implicated by []. (overall high confidence). Evidence indicates Alignment between OVS counters and NetFlow patterns supports this route. |
Which attack type is most likely given the correlation (e.g., packet-in flooding, flow-rule injection, table flush/overflow, topology poisoning, MITM, scanning)? Explain briefly. | Our Solution: scanning. (overall high confidence). Evidence indicates OVS/SDN signals with flow symptoms signals and hints signals. The correlation across SystemCalls, OVS/SDN suggests this pattern. |
Which SDN plane and components are primarily affected (control plane, data plane, control channel; specific controller/switch/port/table)? | Our Solution: control plane and data plane are primarily affected — components likely include data-plane flows, host processes/syscalls, power measurements. (overall high confidence). Evidence indicates Observed signals / signals and host traces and power measurements / signals. |
What physical-layer effect in the power measurements would you expect (if any), and do the sources support it? | Our Solution: transient power/voltage deviation is plausible. (overall high confidence). Evidence indicates Power signals vs cyber signals signals / signals / []. Correlation confidence 0.91. |
Reconstruct the likely incident timeline from the given sources and correlation hints. | Our Solution: Control/OVS changes likely precede NetFlow anomalies, followed by host traces, then any power response. (overall high confidence). Evidence indicates OVS [] → Flows signals → Syscalls signals → Power signals. |
What is the most plausible root cause within the SDN stack and why? | Our Solution: A control-plane configuration or rule push is the most plausible root cause. (overall high confidence). Evidence indicates OVS-side signals [] co-occur with flow shifts signals; host-side signals provide auxiliary cues. |
Is there evidence of topology inconsistency or LLDP forgery? Summarize the indicators. | Our Solution: Potential topology inconsistency cannot be ruled out. (overall high confidence). Evidence indicates Topology-related tokens within OVS [] and correlation hints signals; check LLDP events around the same time. |
Which host-side activities (system calls) are most relevant and how do they align with network/OVS evidence? | Our Solution: Host-side syscalls signals align with the SDN/flow evidence. (overall high confidence). Evidence indicates SC:proc:TCP_Receive; cross-modal alignment with signals and []. |
What immediate mitigations would you recommend (e.g., rule rollback, rate limiting, port isolation, controller hardening) and what side effects are expected? | Our Solution: Roll back suspicious rules, rate-limit abnormal flows, isolate noisy ports, and harden the controller. (overall high confidence). |
Which parts of the context look like benign look-alikes or weakly correlated signals? Justify. | Our Solution: Some signals appear weakly correlated or likely benign. (overall high confidence). Evidence indicates Sparse alignment between signals and []; host traces and power measurements / signals are inconclusive. |
Assign a severity level and a confidence score, and justify them using the correlation hints. | Our Solution: Severity high, confidence 0.89 . Evidence indicates Cross-modal alignment among SystemCalls, OVS/SDN with signals / signals / signals / signals. |
What uncertainty remains, and what additional data or probes would most reduce it? | Our Solution: Key uncertainty remains around the persistence and scope. (overall high confidence).Next steps: controller logs, LLDP traces, per-port counters over time, and higher-resolution power samples. |
What if a key flow rule is reverted or disabled—what changes would you expect in other modalities? | Our Solution: Reverting the suspected rule should reduce abnormal flows and normalize port/table counters. (overall high confidence). |
Provide a concise high-level summary of what the missing target modality is likely expressing, grounded only in the given context. | Our Solution: The missing NetFlow patterns segment likely reflects the correlated pattern summarized by hints signals. (overall high confidence). Evidence indicates Sources Power, OVS/SDN show signals / signals / [] / signals. |
Around what timing would you expect the anomaly to peak relative to baseline, and which evidence supports this? | Our Solution: The anomaly likely peaks near the window where OVS/flow changes co-occur. (overall high confidence). Evidence indicates Concentrated signals with corresponding signals bursts and host/power traces. |
Does the evidence point more to controller-side issues or individual switches/ports? Explain. | Our Solution: Evidence points more to switch/port-specific issues. (overall high confidence). Evidence indicates OVS/table/port signals with flow alignment signals. |
Which SDN plane and components are primarily affected (control plane, data plane, control channel; specific controller/switch/port/table)? | Our Solution: control plane and data plane are primarily affected — components likely include data-plane flows, host processes/syscalls, power measurements. (overall high confidence). Evidence indicates Observed signals / signals and host traces and power measurements / signals. |
Which OpenFlow rule/table/port symptoms best explain the observed flow behavior? | Our Solution: Flow behavior is best explained by OVS rules and table/port signals []. (overall high confidence). Evidence indicates Correlated NetFlow patterns align with rule/table changes; hints include signals. |
What physical-layer effect in the power measurements would you expect (if any), and do the sources support it? | Our Solution: transient power/voltage deviation is plausible. (overall high confidence). Evidence indicates Power signals vs cyber signals signals / signals / []. Correlation confidence 0.92. |
Reconstruct the likely incident timeline from the given sources and correlation hints. | Our Solution: Control/OVS changes likely precede NetFlow anomalies, followed by host traces, then any power response. (overall high confidence). Evidence indicates OVS [] → Flows signals → Syscalls signals → Power signals. |
What is the most plausible root cause within the SDN stack and why? | Our Solution: A control-plane configuration or rule push is the most plausible root cause. (overall high confidence). Evidence indicates OVS-side signals [] co-occur with flow shifts signals; host-side signals provide auxiliary cues. |
Is there evidence of topology inconsistency or LLDP forgery? Summarize the indicators. | Our Solution: Potential topology inconsistency cannot be ruled out. (overall high confidence). Evidence indicates Topology-related tokens within OVS [] and correlation hints signals; check LLDP events around the same time. |
Which host-side activities (system calls) are most relevant and how do they align with network/OVS evidence? | Our Solution: Host-side syscalls signals align with the SDN/flow evidence. (overall high confidence). Evidence indicates SC:proc:TCP_Receive; cross-modal alignment with signals and []. |
What immediate mitigations would you recommend (e.g., rule rollback, rate limiting, port isolation, controller hardening) and what side effects are expected? | Our Solution: Roll back suspicious rules, rate-limit abnormal flows, isolate noisy ports, and harden the controller. (overall high confidence). |
Which parts of the context look like benign look-alikes or weakly correlated signals? Justify. | Our Solution: Some signals appear weakly correlated or likely benign. (overall high confidence). Evidence indicates Sparse alignment between signals and []; host traces and power measurements / signals are inconclusive. |
Assign a severity level and a confidence score, and justify them using the correlation hints. | Our Solution: Severity high, confidence 0.89 . Evidence indicates Cross-modal alignment among SystemCalls, OVS/SDN with signals / signals / signals / signals. |
What uncertainty remains, and what additional data or probes would most reduce it? | Our Solution: Key uncertainty remains around the persistence and scope. (overall high confidence).Next steps: controller logs, LLDP traces, per-port counters over time, and higher-resolution power samples. |
What if a key flow rule is reverted or disabled—what changes would you expect in other modalities? | Our Solution: Reverting the suspected rule should reduce abnormal flows and normalize port/table counters. (overall high confidence). |
Provide a concise high-level summary of what the missing target modality is likely expressing, grounded only in the given context. | Our Solution: The missing NetFlow patterns segment likely reflects the correlated pattern summarized by hints signals. (overall high confidence). Evidence indicates Sources Power, OVS/SDN show signals / signals / [] / signals. |
Around what timing would you expect the anomaly to peak relative to baseline, and which evidence supports this? | Our Solution: The anomaly likely peaks near the window where OVS/flow changes co-occur. (overall high confidence). Evidence indicates Concentrated signals with corresponding signals bursts and host/power traces. |
Does the evidence point more to controller-side issues or individual switches/ports? Explain. | Our Solution: Evidence points more to switch/port-specific issues. (overall high confidence). Evidence indicates OVS/table/port signals with flow alignment signals. |
Which path or switch–port chain most likely carried the suspicious traffic, and why? | Our Solution: The suspicious path likely traverses the switches/ports implicated by []. (overall high confidence). Evidence indicates Alignment between OVS counters and NetFlow patterns supports this route. |
What physical-layer effect in the power measurements would you expect (if any), and do the sources support it? | Our Solution: transient power/voltage deviation is plausible. (overall high confidence). Evidence indicates Power signals vs cyber signals signals / signals / []. Correlation confidence 0.90. |
Reconstruct the likely incident timeline from the given sources and correlation hints. | Our Solution: Control/OVS changes likely precede NetFlow anomalies, followed by host traces, then any power response. (overall high confidence). Evidence indicates OVS [] → Flows signals → Syscalls signals → Power signals. |
What is the most plausible root cause within the SDN stack and why? | Our Solution: A control-plane configuration or rule push is the most plausible root cause. (overall high confidence). Evidence indicates OVS-side signals [] co-occur with flow shifts signals; host-side signals provide auxiliary cues. |
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