def generate_chunk_data(input_file, home_ip, website, protocols=None, threshold=0.11):
ignore_init = 25
if protocols is None:
protocols = ['TCP']
chunks = {}
first_timestamp, duration = get_time_limits(input_file, website, home_ip, protocols)
with open(input_file, 'rb') as csv_file:
data_reader = csv.DictReader(csv_file, delimiter=',')
for row in data_reader:
if website in row['website'] and (row['protocol'] in protocols):
if row['dst'] == home_ip:
timestamp = float(row['timestamp']) - first_timestamp
if timestamp < ignore_init:
continue
stream_id = make_stream_id(row)
if stream_id not in chunks:
chunks[stream_id] = {'chunks': [], 'current_chunk': 0, 'current_time': timestamp}
if timestamp < chunks[stream_id]['current_time'] + threshold:
chunks[stream_id]['current_time'] = timestamp
chunks[stream_id]['current_chunk'] += int(row['len'])
else:
chunk = chunks[stream_id]['current_chunk']
chunks[stream_id]['chunks'].append((chunk, timestamp))
chunks[stream_id]['current_chunk'] = 0
chunks[stream_id]['current_time'] = timestamp
return chunks
def get_packet_length_data(input_file,
home_ip,
website,
is_incoming=True,
ignore_acks=True,
tso=False,
need_ids=False,
protocols=None):
# lengths_dict = {}
if protocols is None:
protocols = ['TCP']
lengths = []
ids = [] if need_ids else None
with open(input_file, 'rb') as csv_file:
data_reader = csv.DictReader(csv_file, delimiter=',')
for row in data_reader:
if ignore_acks and row['is_ack'] == 'True':
continue
if website in row['website'] and (row['protocol'] in protocols):
if row['dst' if is_incoming else 'src'] == home_ip:
# if 40 < int(row['len']) < 1458:
lengths.append(int(row['len']))
if need_ids:
ids.append(make_stream_id(row))
if tso:
lengths, ids = mock_tso(lengths, ids)
return sorted(lengths), ids
def generate_data(input_file, home_ip, website="youtube.com", protocols=None):
if protocols is None:
protocols = ["TCP"]
data_sums = {"all_streams": {"time": [], "total": 0}}
first_timestamp, duration = get_time_limits(input_file, website, home_ip, protocols)
interval = 1 # second
current_time = 0
with open(input_file, "rb") as csv_file:
data_reader = csv.DictReader(csv_file, delimiter=",")
for row in data_reader:
if website in row["website"] and (row["protocol"] in protocols):
if row["dst"] == home_ip:
this_stream_id = make_stream_id(row)
if this_stream_id not in data_sums:
data_sums[this_stream_id] = {"time": map(lambda x: (x, 0), range(0, current_time)), "total": 0}
timestamp = float(row["timestamp"]) - first_timestamp
pkt_size = int(row["len"])
if timestamp < current_time + interval:
data_sums[this_stream_id]["total"] += pkt_size
data_sums["all_streams"]["total"] += pkt_size
else:
for stream_id in data_sums.keys():
data_sums[stream_id]["time"].append((current_time, data_sums[stream_id]["total"]))
current_time += interval
while timestamp > current_time:
for stream_id in data_sums.keys():
data_sums[stream_id]["time"].append((current_time, data_sums[stream_id]["total"]))
current_time += interval
return data_sums
def generate_flow_plot_data(input_file,
home_ip,
website='youtube.com',
is_incoming=True):
stream_set = set()
closed_set = set()
start_timestamp = None
connection_list = GaplessList()
with open(input_file, 'rb') as csv_file:
data_reader = csv.DictReader(csv_file, delimiter=',')
for row in data_reader:
# set start_timestamp if not set
start_timestamp = float(
row['timestamp']
) if start_timestamp is None else start_timestamp
if website in row['website'] and row['protocol'] == 'TCP':
if row['dst' if is_incoming else 'src'] == home_ip:
stream_id = make_stream_id(row)
if row['is_rst'] == 'False' and row[
'is_fin'] == 'False' and stream_id not in closed_set:
stream_set.add(stream_id)
else:
stream_set.discard(stream_id)
closed_set.add(stream_id)
packet_time = int(
float(row['timestamp']) - start_timestamp)
connection_list.set_element(packet_time, len(stream_set))
return connection_list.get_list()
def generate_data(input_file,
home_ip,
website='youtube.com',
is_incoming=True,
num_values=5,
protocols=None):
if protocols is None:
protocols = ['TCP']
packet_sums = {}
with open(input_file, 'rb') as csv_file:
data_reader = csv.DictReader(csv_file, delimiter=',')
for row in data_reader:
if website in row['website'] and (row['protocol'] in protocols):
if row['dst' if is_incoming else 'src'] == home_ip:
stream_id = make_stream_id(row)
try:
packet_sums[stream_id] += int(row['len'])
except KeyError:
packet_sums[stream_id] = int(row['len'])
values = sorted(packet_sums.items(),
cmp=lambda x, y: x[1] - y[1],
reverse=True)
# print values[0], values[1], values[2], values[3], values[4]
values = map(lambda x: (x[0].split('-')[-1], x[1]), values)
shortened = False
if num_values < len(values):
values = values[0:num_values - 1] + [
('MIX', sum(map(lambda x: x[1], values[num_values - 1:])))
]
shortened = True
return values, shortened
def generate_data(input_file, home_ip, website='youtube.com', protocols=None):
if protocols is None:
protocols = ['TCP']
data_sums = {'all_streams': {'time': [], 'total': 0}}
first_timestamp, duration = get_time_limits(input_file, website, home_ip, protocols)
interval = 1 # second
current_time = 0
with open(input_file, 'rb') as csv_file:
data_reader = csv.DictReader(csv_file, delimiter=',')
for row in data_reader:
if website in row['website'] and (row['protocol'] in protocols):
if row['dst'] == home_ip:
this_stream_id = make_stream_id(row)
if this_stream_id not in data_sums:
data_sums[this_stream_id] = {'time': map(lambda x: (x, 0), range(0, current_time)), 'total': 0}
timestamp = float(row['timestamp']) - first_timestamp
pkt_size = int(row['len'])
if timestamp < current_time + interval:
data_sums[this_stream_id]['total'] += pkt_size
data_sums['all_streams']['total'] += pkt_size
else:
for stream_id in data_sums.keys():
data_sums[stream_id]['time'].append((current_time, data_sums[stream_id]['total']))
current_time += interval
while timestamp > current_time:
for stream_id in data_sums.keys():
data_sums[stream_id]['time'].append((current_time, data_sums[stream_id]['total']))
current_time += interval
return data_sums
def get_stream_sizes(input_file, home_ip, stream_ids, is_incoming=False):
sizes = [0] * len(stream_ids)
all_sizes = 0
with open(input_file, 'rb') as csv_file:
data_reader = csv.DictReader(csv_file, delimiter=',')
for row in data_reader:
if row['is_ack'] == 'True':
continue
if row['protocol'] != 'TCP':
continue
if row['dst' if is_incoming else 'src'] == home_ip:
all_sizes += int(row['len'])
this_stream_id = make_stream_id(row)
for i, stream_id in enumerate(stream_ids):
if stream_id == this_stream_id:
sizes[i] += int(row['len'])
break
return sizes, all_sizes
def get_stream_sizes(input_file, home_ip, stream_ids, is_incoming=False):
sizes = [0] * len(stream_ids)
all_sizes = 0
with open(input_file, "rb") as csv_file:
data_reader = csv.DictReader(csv_file, delimiter=",")
for row in data_reader:
if row["is_ack"] == "True":
continue
if row["protocol"] != "TCP":
continue
if row["dst" if is_incoming else "src"] == home_ip:
all_sizes += int(row["len"])
this_stream_id = make_stream_id(row)
for i, stream_id in enumerate(stream_ids):
if stream_id == this_stream_id:
sizes[i] += int(row["len"])
break
return sizes, all_sizes
def get_ad_streams(input_file, home_ip, website="youtube.com", is_incoming=False):
ad_dict = {}
with open(input_file, "rb") as csv_file:
data_reader = csv.DictReader(csv_file, delimiter=",")
for row in data_reader:
if row["is_ack"] == "True":
continue
if row["protocol"] != "TCP":
continue
if website in row["website"]:
if row["dst" if is_incoming else "src"] == home_ip:
if row["url"] != "":
stream_id = make_stream_id(row)
try:
ad_dict[stream_id].append(row["url"])
except KeyError:
ad_dict[stream_id] = [row["url"]]
return ad_dict
def get_ad_streams(input_file,
home_ip,
website='youtube.com',
is_incoming=False):
ad_dict = {}
with open(input_file, 'rb') as csv_file:
data_reader = csv.DictReader(csv_file, delimiter=',')
for row in data_reader:
if row['is_ack'] == 'True':
continue
if row['protocol'] != 'TCP':
continue
if website in row['website']:
if row['dst' if is_incoming else 'src'] == home_ip:
if row['url'] != '':
stream_id = make_stream_id(row)
try:
ad_dict[stream_id].append(row['url'])
except KeyError:
ad_dict[stream_id] = [row['url']]
return ad_dict
def generate_flow_plot_data(input_file, home_ip, website="youtube.com", is_incoming=True):
stream_set = set()
closed_set = set()
start_timestamp = None
connection_list = GaplessList()
with open(input_file, "rb") as csv_file:
data_reader = csv.DictReader(csv_file, delimiter=",")
for row in data_reader:
# set start_timestamp if not set
start_timestamp = float(row["timestamp"]) if start_timestamp is None else start_timestamp
if website in row["website"] and row["protocol"] == "TCP":
if row["dst" if is_incoming else "src"] == home_ip:
stream_id = make_stream_id(row)
if row["is_rst"] == "False" and row["is_fin"] == "False" and stream_id not in closed_set:
stream_set.add(stream_id)
else:
stream_set.discard(stream_id)
closed_set.add(stream_id)
packet_time = int(float(row["timestamp"]) - start_timestamp)
connection_list.set_element(packet_time, len(stream_set))
return connection_list.get_list()
def get_packet_length_data(input_file, home_ip, website, is_incoming=True, ignore_acks=True, tso=False, need_ids=False, protocols=None):
# lengths_dict = {}
if protocols is None:
protocols = ['TCP']
lengths = []
ids = [] if need_ids else None
with open(input_file, 'rb') as csv_file:
data_reader = csv.DictReader(csv_file, delimiter=',')
for row in data_reader:
if ignore_acks and row['is_ack'] == 'True':
continue
if website in row['website'] and (row['protocol'] in protocols):
if row['dst' if is_incoming else 'src'] == home_ip:
# if 40 < int(row['len']) < 1458:
lengths.append(int(row['len']))
if need_ids:
ids.append(make_stream_id(row))
if tso:
lengths, ids = mock_tso(lengths, ids)
return sorted(lengths), ids
def generate_data(input_file, home_ip, website='youtube.com', is_incoming=True, num_values=5, protocols=None):
if protocols is None:
protocols = ['TCP']
packet_sums = {}
with open(input_file, 'rb') as csv_file:
data_reader = csv.DictReader(csv_file, delimiter=',')
for row in data_reader:
if website in row['website'] and (row['protocol'] in protocols):
if row['dst' if is_incoming else 'src'] == home_ip:
stream_id = make_stream_id(row)
try:
packet_sums[stream_id] += int(row['len'])
except KeyError:
packet_sums[stream_id] = int(row['len'])
values = sorted(packet_sums.items(), cmp=lambda x, y: x[1]-y[1], reverse=True)
# print values[0], values[1], values[2], values[3], values[4]
values = map(lambda x: (x[0].split('-')[-1], x[1]), values)
shortened = False
if num_values < len(values):
values = values[0:num_values - 1] + [('MIX', sum(map(lambda x: x[1], values[num_values - 1:])))]
shortened = True
return values, shortened
def generate_chunk_data(input_file,
home_ip,
website,
protocols=None,
threshold=0.11):
ignore_init = 25
if protocols is None:
protocols = ['TCP']
chunks = {}
first_timestamp, duration = get_time_limits(input_file, website, home_ip,
protocols)
with open(input_file, 'rb') as csv_file:
data_reader = csv.DictReader(csv_file, delimiter=',')
for row in data_reader:
if website in row['website'] and (row['protocol'] in protocols):
if row['dst'] == home_ip:
timestamp = float(row['timestamp']) - first_timestamp
if timestamp < ignore_init:
continue
stream_id = make_stream_id(row)
if stream_id not in chunks:
chunks[stream_id] = {
'chunks': [],
'current_chunk': 0,
'current_time': timestamp
}
if timestamp < chunks[stream_id][
'current_time'] + threshold:
chunks[stream_id]['current_time'] = timestamp
chunks[stream_id]['current_chunk'] += int(row['len'])
else:
chunk = chunks[stream_id]['current_chunk']
chunks[stream_id]['chunks'].append((chunk, timestamp))
chunks[stream_id]['current_chunk'] = 0
chunks[stream_id]['current_time'] = timestamp
return chunks
def plot_thing(input_file,
home_ip,
plot_all=True,
plot_first=False,
plot_second=False,
plot_rest=False,
website='youtube.com',
is_incoming=True,
colors=None,
chart=None,
names=None,
sizes=True,
protocols=None,
window=1):
if protocols is None:
protocols = ['TCP']
if names is None:
names = ['All streams', 'Top stream', 'Rest']
if colors is None:
colors = ['r', 'g', 'b']
streams = {}
with open(input_file, 'rb') as csv_file:
data_reader = csv.DictReader(csv_file, delimiter=',')
for row in data_reader:
if website in row['website'] and (row['protocol'] in protocols):
if row['dst' if is_incoming else 'src'] == home_ip and row[
'is_ack'] == 'False':
stream_id = make_stream_id(row)
try:
streams[stream_id].append(
(float(row['timestamp']), int(row['len'])))
except KeyError:
streams[stream_id] = [(float(row['timestamp']),
int(row['len']))]
# sort list of lists by first value of each list
sorted_streams = sorted(streams.values(), key=lambda tuples: tuples[0][0])
first_timestamp = sorted_streams[0][0][0]
# subtract first timestamp from all
sorted_streams = map(
lambda stream: map(lambda tup:
(tup[0] - first_timestamp, tup[1]), stream),
sorted_streams)
# merge list of lists
all_streams = reduce(lambda x, y: x + y, sorted_streams, [])
def put_in_bins(time_stamps, size=True):
"""
Puts packets into time bins (e. g. packets of same second)
:param time_stamps: list of tuples (time_stamp, packet_length)
:param size: (optional) if True, sums up lengths, otherwise number of packets
:return:
"""
time_bins = []
for time_stamp, length in time_stamps:
bin_index = int(time_stamp / window)
try:
time_bins[bin_index] += length if size else 1
except IndexError:
while len(time_bins) != bin_index:
time_bins.append(0)
time_bins.append(length if size else 1)
return time_bins
plot_line_list = []
plot_name_list = []
if chart is None:
fig, ax = plt.subplots()
if sizes:
ax.set_ylabel('size in KB')
else:
ax.set_ylabel('# of packets')
ax.set_xlabel('time, s')
else:
fig, ax, plot_line_list, plot_name_list = chart
top_stream = sorted(sorted_streams,
key=lambda stream: len(stream),
reverse=True)[0]
second_stream = sorted(sorted_streams,
key=lambda stream: len(stream),
reverse=True)[1]
rest_start_index = 2 if plot_second else 1
rest_streams = reduce(
lambda x, y: x + y,
sorted(sorted_streams, key=lambda stream: len(stream),
reverse=True)[rest_start_index:], [])
i = 0
all_values = []
if plot_all:
values = put_in_bins(all_streams, sizes)
all_values.extend(values)
red_line = plt.plot(values, colors[i] + '-')
plot_line_list.append(red_line[0])
plot_name_list.append(names[i])
i += 1
if plot_first:
values = put_in_bins(top_stream, sizes)
all_values.extend(values)
blue_line = plt.plot(values, colors[i] + '-')
plot_line_list.append(blue_line[0])
plot_name_list.append(names[i])
i += 1
if plot_second:
values = put_in_bins(second_stream, sizes)
all_values.extend(values)
magenta_line = plt.plot(values, colors[i] + '-')
plot_line_list.append(magenta_line[0])
plot_name_list.append(names[i])
i += 1
if plot_rest:
values = put_in_bins(rest_streams, sizes)
all_values.extend(values)
green_line = plt.plot(values, colors[i] + '-')
plot_line_list.append(green_line[0])
plot_name_list.append(names[i])
i += 1
plt.legend(plot_line_list, plot_name_list)
if sizes:
fn, tix = make_storage_ticks(all_values)
ax.yaxis.set_major_formatter(fn)
plt.yticks(tix)
ax.set_xticklabels([int(x * window) for x in ax.get_xticks()])
return fig, ax, plot_line_list, plot_name_list
def plot_thing(input_file, home_ip, plot_all=True, plot_first=False, plot_second=False, plot_rest=False, website='youtube.com', is_incoming=True, colors=None, chart=None, names=None, sizes=True, protocols=None, window=1):
if protocols is None:
protocols = ['TCP']
if names is None:
names = ['All streams', 'Top stream', 'Rest']
if colors is None:
colors = ['r', 'g', 'b']
streams = {}
with open(input_file, 'rb') as csv_file:
data_reader = csv.DictReader(csv_file, delimiter=',')
for row in data_reader:
if website in row['website'] and (row['protocol'] in protocols):
if row['dst' if is_incoming else 'src'] == home_ip and row['is_ack'] == 'False':
stream_id = make_stream_id(row)
try:
streams[stream_id].append((float(row['timestamp']), int(row['len'])))
except KeyError:
streams[stream_id] = [(float(row['timestamp']), int(row['len']))]
# sort list of lists by first value of each list
sorted_streams = sorted(streams.values(), key=lambda tuples: tuples[0][0])
first_timestamp = sorted_streams[0][0][0]
# subtract first timestamp from all
sorted_streams = map(lambda stream: map(lambda tup: (tup[0] - first_timestamp, tup[1]), stream), sorted_streams)
# merge list of lists
all_streams = reduce(lambda x, y: x + y, sorted_streams, [])
def put_in_bins(time_stamps, size=True):
"""
Puts packets into time bins (e. g. packets of same second)
:param time_stamps: list of tuples (time_stamp, packet_length)
:param size: (optional) if True, sums up lengths, otherwise number of packets
:return:
"""
time_bins = []
for time_stamp, length in time_stamps:
bin_index = int(time_stamp / window)
try:
time_bins[bin_index] += length if size else 1
except IndexError:
while len(time_bins) != bin_index:
time_bins.append(0)
time_bins.append(length if size else 1)
return time_bins
plot_line_list = []
plot_name_list = []
if chart is None:
fig, ax = plt.subplots()
if sizes:
ax.set_ylabel('size in KB')
else:
ax.set_ylabel('# of packets')
ax.set_xlabel('time, s')
else:
fig, ax, plot_line_list, plot_name_list = chart
top_stream = sorted(sorted_streams, key=lambda stream: len(stream), reverse=True)[0]
second_stream = sorted(sorted_streams, key=lambda stream: len(stream), reverse=True)[1]
rest_start_index = 2 if plot_second else 1
rest_streams = reduce(lambda x, y: x + y, sorted(sorted_streams, key=lambda stream: len(stream), reverse=True)[rest_start_index:], [])
i = 0
all_values = []
if plot_all:
values = put_in_bins(all_streams, sizes)
all_values.extend(values)
red_line = plt.plot(values, colors[i] + '-')
plot_line_list.append(red_line[0])
plot_name_list.append(names[i])
i += 1
if plot_first:
values = put_in_bins(top_stream, sizes)
all_values.extend(values)
blue_line = plt.plot(values, colors[i] + '-')
plot_line_list.append(blue_line[0])
plot_name_list.append(names[i])
i += 1
if plot_second:
values = put_in_bins(second_stream, sizes)
all_values.extend(values)
magenta_line = plt.plot(values, colors[i] + '-')
plot_line_list.append(magenta_line[0])
plot_name_list.append(names[i])
i += 1
if plot_rest:
values = put_in_bins(rest_streams, sizes)
all_values.extend(values)
green_line = plt.plot(values, colors[i] + '-')
plot_line_list.append(green_line[0])
plot_name_list.append(names[i])
i += 1
plt.legend(plot_line_list, plot_name_list)
if sizes:
fn, tix = make_storage_ticks(all_values)
ax.yaxis.set_major_formatter(fn)
plt.yticks(tix)
ax.set_xticklabels([int(x * window) for x in ax.get_xticks()])
return fig, ax, plot_line_list, plot_name_list
