def getBwDifferential(self):
self.iat_length_tuples = [l for l in self.iat_length_tuples if len(l) > 0]
if time.time() - self.session.startTime > 0.2 and len(self.iat_length_tuples) > 1:
lengths0 = [t[1] for t in self.iat_length_tuples[-2]]
lengths1 = [t[1] for t in self.iat_length_tuples[-1]]
bw0 = sum(lengths0) / self._period
bw1 = sum(lengths1) / self._period
bw_diff = (bw1 - bw0) / self._period
self.session.bw_diffs.append(bw_diff)
log.debug("[bwdiff %s] - bw diffs: %s", self.end, self.session.bw_diffs)
log.debug("[bwdiff %s] - abs bwdiff (%s) > threshold (%s)",
self.end, abs(bw_diff), self._threshold)
if abs(bw_diff) > self._threshold:
# we should sample uniformly from the passed iats
# convert self.iat_length_tuples to distribution
# and pass it to wfpad iat distribution as dict.
iats = gu.get_iats([t[0] for t in gu.flatten_list(self.iat_length_tuples)])
h = {iat: 1 for iat in iats}
self._burstHistoProbdist['snd'] = hs.new(h)
self._gapHistoProbdist['snd'] = hs.new(h)
else:
self._burstHistoProbdist['snd'] = hs.uniform(const.INF_LABEL)
self._gapHistoProbdist['snd'] = hs.uniform(const.INF_LABEL)
self.iat_length_tuples.append([])
log.debug("[bwdiff %s] A period has passed: %s", self.end, self.iat_length_tuples[-3:-1])
if self.isVisiting():
log.debug("[bwdiff %s] Calling next period (visiting = %s, padding = %s)",
self.end, self.isVisiting(), self.session.is_padding)
cm.deferLater(self._period, self.getBwDifferential)
def whenBurstEnds(self):
"""BurstEnd packets are sent by the cooperating node during tail-padding
When such a packet is received, the receiving node should switch to Talkie mode and begin
sending the next padding burst"""
self._pad_count = 0
self._active = True
log.info('[walkietalkie - %s] ready to send next burst.', self.end)
pad_target = self.getBurstTarget()
if pad_target <= 0 and self.session.is_padding:
log.debug("[walkietalkie - %s] no more bursts left in decoy!",
self.end)
self.onEndPadding()
if self.weAreClient:
delay = CLIENT_DELAY_TIME * 10
else:
delay = RELAY_DELAY_TIME * 10
#if not self._deferData or (self._deferData and self._deferData.called):
if self._deferData and self._deferData.called:
self._deferData.cancel()
self._deferData = deferLater(delay,
self.flushBuffer,
id=self.flushbuf_id + 1)
self.flushbuf_id += 1
def pushData(self, data):
"""Overwrite WFPadTransport pushData to schedule flushBuffer based on custom timings.
"""
log.debug("[walkietalkie - %s] Pushing %d bytes of outgoing data.",
self.end, len(data))
if len(data) <= 0:
log.debug(
"[walkietalkie - %s] pushData() was called without a reason!",
self.end)
return
# Cancel existing deferred calls to padding methods to prevent
# callbacks that remove tokens from histograms
#deferBurstCancelled, deferGapCancelled = self.cancelDeferrers('snd')
# Draw delay for data message
#delay = self._burstTimeoutHisto.randomSample()
if self.weAreClient:
delay = CLIENT_DELAY_TIME
else:
delay = RELAY_DELAY_TIME
# Update delay according to elapsed time since last message
# was sent. In case elapsed time is greater than current
# delay, we sent the data message as soon as possible.
#if deferBurstCancelled or deferGapCancelled:
# elapsed = self.elapsedSinceLastMsg()
# newDelay = delay - elapsed
# delay = 0 if newDelay < 0 else newDelay
# log.debug("[wfpad - %s] New delay is %s", self.end, delay)
#
# if deferBurstCancelled and hasattr(self._burstHistoProbdist['snd'], "histo"):
# self._burstHistoProbdist['snd'].removeToken(elapsed, False)
# if deferGapCancelled and hasattr(self._gapHistoProbdist['snd'], "histo"):
# self._gapHistoProbdist['snd'].removeToken(elapsed, False)
# Push data message to data buffer
self._buffer.write(data)
log.debug(
"[walkietalkie - %s] Buffered %d bytes of outgoing data w/ delay %sms",
self.end, len(self._buffer), delay)
# if there is a scheduled flush buffer, cancel and re-schedule
if self._deferData and self._deferData.called:
self._deferData.cancel()
self._deferData = deferLater(delay,
self.flushBuffer,
id=self.flushbuf_id + 1)
self.flushbuf_id += 1
log.debug("[walkietalkie - %s] Delay buffer flush %s ms delay",
self.end, delay)
def relaySendPadding(self, N, t):
"""Send the requested number of padding cells in response.
Parameters
----------
N : int
Number of padding cells to send in response to this cell.
t : int
Number of milliseconds delay before sending.
"""
millisec = t
deferreds = []
for _ in xrange(N):
deferreds.append(deferLater(millisec, self.sendIgnore))
return defer.DeferredList(deferreds, consumeErrors=True)
def getBwDifferential(self):
self.iat_length_tuples = [
l for l in self.iat_length_tuples if len(l) > 0
]
if time.time() - self.session.startTime > 0.2 and len(
self.iat_length_tuples) > 1:
lengths0 = [t[1] for t in self.iat_length_tuples[-2]]
lengths1 = [t[1] for t in self.iat_length_tuples[-1]]
bw0 = sum(lengths0) / self._period
bw1 = sum(lengths1) / self._period
bw_diff = (bw1 - bw0) / self._period
self.session.bw_diffs.append(bw_diff)
log.debug("[bwdiff %s] - bw diffs: %s", self.end,
self.session.bw_diffs)
log.debug("[bwdiff %s] - abs bwdiff (%s) > threshold (%s)",
self.end, abs(bw_diff), self._threshold)
if abs(bw_diff) > self._threshold:
# we should sample uniformly from the passed iats
# convert self.iat_length_tuples to distribution
# and pass it to wfpad iat distribution as dict.
iats = gu.get_iats(
[t[0] for t in gu.flatten_list(self.iat_length_tuples)])
h = {iat: 1 for iat in iats}
self._burstHistoProbdist['snd'] = hs.new(h)
self._gapHistoProbdist['snd'] = hs.new(h)
else:
self._burstHistoProbdist['snd'] = hs.uniform(const.INF_LABEL)
self._gapHistoProbdist['snd'] = hs.uniform(const.INF_LABEL)
self.iat_length_tuples.append([])
log.debug("[bwdiff %s] A period has passed: %s", self.end,
self.iat_length_tuples[-3:-1])
if self.isVisiting():
log.debug(
"[bwdiff %s] Calling next period (visiting = %s, padding = %s)",
self.end, self.isVisiting(), self.session.is_padding)
cm.deferLater(self._period, self.getBwDifferential)
