relativeToIP=args.relativeToIP)
comparator = MessageComparator(specimens,
layer=args.layer,
relativeToIP=args.relativeToIP,
failOnUndissectable=False,
debug=debug)
########################
print("Segment messages...")
inferenceTitle = 'bcDeltaGauss{:.1f}'.format(sigma) # +hiPlateaus
startsegmentation = time.time()
segmentsPerMsg = bcDeltaGaussMessageSegmentation(specimens, sigma)
runtimeSegmentation = time.time() - startsegmentation
refinedPerMsg = refinements(segmentsPerMsg, None)
runtimeRefinement = time.time() - startsegmentation
print('Segmented and refined in {:.3f}s'.format(time.time() -
startsegmentation))
symbols = symbolsFromSegments(segmentsPerMsg)
refinedSymbols = symbolsFromSegments(refinedPerMsg)
########################
# Without refinement:
# comparator.pprintInterleaved(symbols)
comparator.pprintInterleaved(refinedSymbols)
# calc FMS per message
args = parser.parse_args()
if not isfile(args.pcapfilename):
print('File not found: ' + args.pcapfilename)
exit(1)
sigma = 0.6 if not args.sigma else args.sigma
print("Load messages...")
specimens = SpecimenLoader(args.pcapfilename, layer=args.layer,
relativeToIP=args.relativeToIP)
print("Segment messages...")
inferenceTitle = 'bcDeltaGauss{:.1f}'.format(sigma) # +hiPlateaus
startsegmentation = time.time()
segmentsPerMsg = bcDeltaGaussMessageSegmentation(specimens, sigma)
runtimeSegmentation = time.time() - startsegmentation
refinedPerMsg = refinements(segmentsPerMsg)
runtimeRefinement = time.time() - startsegmentation
print('Segmented and refined in {:.3f}s'.format(time.time() - startsegmentation))
symbols = symbolsFromSegments(segmentsPerMsg)
refinedSymbols = symbolsFromSegments(refinedPerMsg)
# TODO output (colored?) visualization on terminal
print("Access inferred symbols via variables: symbols, refinedSymbols")
print("Access inferred message segments via variables: segmentsPerMsg, refinedPerMsg")
IPython.embed()