def agreement(P, config={}):
'''
P: 导频数
config: 密钥生成配置项，包括：
sampling_period：采样周期
sampling_time：采样时间
corr_ab: Alice和Bob的信道测量值的相关系数
corr_ae: Alice和Eve的信道测量值的相关系数
block_size：双阈值量化的子块采样点数
coef: 双阈值量化的量化系数
qtype: 均匀量化的编码方式。gray/natural
order: 均匀量化的量化阶数
mtype: 合并类型。RSSI/Phase/cross/and/or/xor
iteration: 信息协调迭代次数
m: 汉明码监督位m
'''
''' 采样参数 '''
sampling_period = config.get('sampling_period', 1)
sampling_time = config.get('sampling_time', 3)
corr_ab = config.get('corr_ab', 0.9)
corr_ae = config.get('corr_ae', 0.4)
''' 量化参数 '''
block_size = config.get('block_size', 25)
coef = config.get('coef', 0.8)
qtype = config.get('qtype', 'gray')
order = config.get('order', 1)
mtype = config.get('mtype', 'cross')
''' 信息协调参数 '''
iteration = config.get('iteration', 2)
m = config.get('m', 3)
''' 采样 '''
rssi_A, rssi_B, rssi_E = sampling_RSSI(sampling_period, sampling_time,
corr_ab, corr_ae)
phase_A, phase_B, phase_E = sampling_phase(sampling_period, sampling_time,
corr_ab, corr_ae)
''' RSSI量化 '''
bits_A_rssi, drop_list_A = quantize_ASBG_1bit(rssi_A, block_size, coef)
bits_B_rssi, drop_list_B = quantize_ASBG_1bit(rssi_B, block_size, coef)
bits_E_rssi, drop_list_E = quantize_ASBG_1bit(rssi_E, block_size, coef)
bits_A_rssi = remain(bits_A_rssi, drop_list_B)
bits_B_rssi = remain(bits_B_rssi, drop_list_A)
bits_E_rssi = remain(bits_E_rssi, drop_list_A)
''' Phase量化 '''
bits_A_phase = quantize_phase(phase_A, qtype, order)
bits_B_phase = quantize_phase(phase_B, qtype, order)
bits_E_phase = quantize_phase(phase_E, qtype, order)
''' 合并 '''
bits_A = merge(bits_A_rssi, bits_A_phase, mtype)
bits_B = merge(bits_B_rssi, bits_B_phase, mtype)
bits_E = merge(bits_E_rssi, bits_E_phase, mtype)
''' 信息协调 '''
bits_A, bits_B = winnow(bits_A, bits_B, iteration, m)
''' 生成导频 '''
pos_A = encode(bits_A, P)
pos_B = encode(bits_B, P)
pos_E = encode(bits_E, P)
return pos_A, pos_B, pos_E
def agreement(P,mtype='cross',iteration=2,corr_ab=0.9,corr_ae=0.4):
'''
P: 导频数
mtype: 合并类型。RSSI/Phase/cross/and/or/xor
iteration: winnow迭代次数
corr_ab: Alice和Bob的信道测量值的相关系数
corr_ae: Alice和Eve的信道测量值的相关系数
'''
''' 采样参数 '''
sampling_period = 1
sampling_time = 3
''' 量化参数 '''
block_size = 25
coef = 0.8
qtype = 'gray'
order = 1
''' 采样 '''
rssi_A,rssi_B,rssi_E = sampling('RSSI',sampling_period,sampling_time,corr_ab,corr_ae)
phase_A,phase_B,phase_E = mod(sampling('Phase',sampling_period,sampling_time,corr_ab,corr_ae),2*pi)
#print 'corrcoef of rssi between AB and AE:',corrcoef(rssi_A, rssi_B, rowvar=0)[0,1],corrcoef(rssi_A, rssi_E, rowvar=0)[0,1]
#print 'corrcoef of phase between AB and AE:',corrcoef(phase_A,phase_B,rowvar=0)[0,1],corrcoef(phase_A,phase_E,rowvar=0)[0,1]
''' RSSI量化 '''
bits_A_rssi,drop_list_A = quantization_thre(rssi_A,block_size,coef)
bits_B_rssi,drop_list_B = quantization_thre(rssi_B,block_size,coef)
bits_E_rssi,drop_list_E = quantization_thre(rssi_E,block_size,coef)
bits_A_rssi = remain(bits_A_rssi,drop_list_A,drop_list_B)
bits_B_rssi = remain(bits_B_rssi,drop_list_A,drop_list_B)
bits_E_rssi = remain(bits_E_rssi,drop_list_A,drop_list_E)
#print 'BMR of RSSI before winnow between AB',BMR(bits_A_rssi,bits_B_rssi)
''' Phase量化 '''
bits_A_phase = quantization_even('Phase',phase_A,size(phase_A),qtype,order)
bits_B_phase = quantization_even('Phase',phase_B,size(phase_B),qtype,order)
bits_E_phase = quantization_even('Phase',phase_E,size(phase_E),qtype,order)
#print 'BMR of phase before winnow between AB',BMR(bits_A_phase,bits_B_phase)
''' 合并 '''
bits_A = merge(bits_A_rssi,bits_A_phase,mtype)
bits_B = merge(bits_B_rssi,bits_B_phase,mtype)
bits_E = merge(bits_E_rssi,bits_E_phase,mtype)
#print 'BMR of merge before winnow between AB',BMR(bits_A,bits_B)
''' winnow信息协调 '''
bits_A, bits_B = winnow(bits_A,bits_B,iteration)
#print 'BMR of merge after winnow between AB',BMR(bits_A,bits_B)
''' 生成导频 '''
pos_A = encode(bits_A,P)
pos_B = encode(bits_B,P)
pos_E = encode(bits_E,P)
return pos_A,pos_B,pos_E
def search():
query = request.args['query']
fingerprint = list(winnow(query))
fingerprint_count = len(fingerprint)
cursor = db.document.find({'fingerprint.digest': fingerprint[0][1]})
return json.dumps(map(None, cursor), cls=MongoEncoder)
def document_add():
source, target, source_text, target_text = map(lambda x: request.form[x],
('source', 'target', 'source_text', 'target_text'))
# TODO: Any better way to handle this?
document = dict(
timestamp=datetime.utcnow(),
source=source,
target=target,
source_text=source_text,
target_text=target_text,
source_hash=sha1(source_text),
target_hash=sha1(target_text),
fingerprint=[dict(offset=v[0], digest=v[1]) for v in winnow(source_text)]
)
document_id = db.document.insert(document)
return ''
