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Data Tables

Reference examples of descriptive tables.

This page provides reference examples of the types of data tables you can find in the results of your capture analyses. The included tables vary based on relevance to the captures.

Summary of tables

The following table lists and describes the data tables.

Table Purpose
Summary of Findings Capture census and high-level statistics
Device Classification Types of devices inferred from observations
Infrastructure APs, mesh nodes, extenders, hotspots
Client Activity Client and scanner behavior
Vendor/OUI Manufacturer attribution and confidence
Channel Utilization Channel occupancy and congestion
Signal Strength RSSI distribution and proximity estimates
Persistence Devices observed across time
Travel Mode Devices recurring across sites and/or captures
Site Fingerprint Characteristics that distinguish a location
Observation Constraints What the capture method can and cannot observe
Reasons To Doubt Ambiguities, caveats, competing explanations
Evidence Observations supporting findings
Anomaly RF anomalies and unusual patterns
Structural Artifacts Capture artifacts and interpretation risks

Summary of Findings

MAC address: a2:cf:84:xx:xx:xx
Vendor not found -- Locally administered/randomized -- Default OUI
Captures observed: # files
Capture fileCapture channels
Capture fileCapture channels
FieldObserved, Derived, or InferredValueNotes
RolesObservedAP
SSIDsObserved1
BSSIDsObserved1
Frame types and counts
ProbeReqObserved0
ReassocObserved0
BeaconObserved3228
ProbeRespObserved100
Scope and presence
ChannelsObserved7
DurationObserved2.41hThe duration of the capture.
PresenceDerivedPersistent
MobilityDerivedLikely mobile
RSSI values
Average RSSIObserved-69.9 dBm
RSSI rangeObserved-84 to -56 dBm
RSSI variationDerived28 dBm
Inference information
TBD

Device Classification

Captures are assessed for devices that can be classified with reasonable confidence based on frame data and behavior. The following section lists tables that are used to classify and describe the devices that are represented in wireless captures.

Basic device information is provided based on inferred device class and inventory, device taxonomy and wireless ecology.

Device variants

Variant Purpose
Device Class Census Counts of inferred device types
Device Taxonomy Classification rules and evidence
Wireless Ecology Table Environmental composition view
Device Inventory Detailed per-device reporting

The Analysis module provides the following device class information.

Device Class Table -- Module 1

Device Class Count Confidence Evidence Basis
Infrastructure APs 12 High Beaconing behavior
Mesh / Extenders 3 Medium Multi-BSSID patterns
Client Devices 34 Medium Association activity
Client Scanners 9 High Probe activity only
Mobile Hotspots 2 Medium AP + handset indicators
Vehicle-Associated Devices 1 Medium CarPlay/dashcam indicators
Provisioning Networks 1 High XFSETUP pattern
Unknown Devices 15 Unknown Insufficient evidence

Infrastructure

This table summarizes and describes the wireless infrastructure that was observed at the site. This includes access points (APs), mesh nodes, extenders, and hotspots.

Field Description
TBD TBD

Client Activity

This table describes the client activity that was observed at the site. This includes client and scanner behavior.

Field Description
TBD TBD

Vendor OUI

This table provides a summary of the vendor names and OUIs that the observation discovered at the site. Context By Signal uses this information to report manufacturer attribution and confidence findings.

Observed Vendor attribution Attribution source
(OUI file)
Confidence Reason
TBDTBDTBDTBDTBD
TBDTBDTBDTBDTBD

Channel Utilization

This table provides a measure of channel crowding or "co-channel pressure." High airtime utilization is associated with visible AP density and increased risk of radio frequency (RF) contention. The higher the channel device count, the greater the competition for airtime. The result is latency, dropped connections, and degraded performance. Channel utilization is derived from AP count and RSSI.

AP RSSI (dBm) Pressure
A -48 1.00
B -62 0.70
C -74 0.35
D -83 0.10

Channel utilization is subject to channel overlap. This affects the 2.4 GHz band; the 25 channels on the 5 GHz band do not overlap at 20 Mhz wide. Co-channel pressure is adjusted based on channel overlap as follows:

Area of overlap Adjust by
Same channel1.0
Adjacent overlap0.5 - 0.8
No overlap0

Signal Strength

Received Signal Strength Indicator (RSSI) measures the power of a radio signal on receipt. RSSI is commonly used in wireless protocols, for example, in 802.11 (WiFi), Bluetooth, and ZigBee.

The RSSI field is found in 802.11 packets only when the capture is made with RadioTap headers. In some capture tools, inclusion of the RadioTap header is optional and must be selected. Context By Signal assumes the inclusion of the RadioTap header in packet captures.

RSSI is influenced by variables including the presence of walls, interference, antenna orientation, transmit power, signal reflections, and device hardware. This means that RSSI should be treated as an approximate indicator of relative signal strength rather than an exact measure of physical distance.

The following table lists RSSI values and how they are interpreted within the context of an 802.11 frame capture.

RSSI (dBm) General interpretation
-30 Extremly strong/very close
-50 Strong nearby signal
-67 Good reliable signal
-70 Usable but weaker
-80 Weak / distant / obstructed
-90 Very weak / near detection threshold

The RSSI values of 802.11 transmitters vary from frame to frame. For transmitters whose incidence persists across the timestamps of a capture, this variance might fall into a range or a pattern. The following table provides examples of RSSI patterns relative to the transmitter and their physical interpretation.

RSSI pattern Possible interpretation
Stable strong RSSI over time Nearby persistent device
Rapid RSSI fluctuation Movement or multipath effects
Gradual RSSI decrease Increasing distance or obstruction
Intermittent weak RSSI Edge of range or transient presence

Persistence

Persistence is a measurement of presence, channel "occupancy" across time. Context By Signal measures persistence as a continuing presence across the timestamps of an Airtool capture, in the accumulation of frame counts within the bounds of a capture, and in occupancy across collections of capture files. The cross-file continuity value is omitted for analysis jobs that include only one capture file. Persistence is described by MAC.

MAC address: c0:06:c3:xx:xx:xx
Vendor:
Occupancy# frames
Continuity across framesTime value (6.2 minutes--duration or other increment of measure?)
Continuity across BSSIDsBSSID/origin file and packet
Continuity across filesFile value/list of files?

Travel mode

Field Description
TBD TBD

Site Fingerprint

Field Description
TBD TBD

Observation Constraints

Field Description
TBD TBD

Reasons To Doubt

Field Description
TBD TBD

Evidence

Field Description
TBD TBD

Anomaly

Field Description
TBD TBD

Structural Artifacts

Field Description
TBD TBD