/*
d:输入状态差分的最大汉明重量
*/
void offLine_table_construct_v3(u32 d){
//创建输出流
//建立输出文件
string part="Grain_(l,d)_(";
string curr_DIR=DIR_REDUCE_V3+part+int_2_string(KSLen_Reduced)+","+int_2_string(d)+")"+
FILE_SUFFIX+WITH_PREFIX+"_KSD_"+int_2_string(MAX_KSD)+"_HM_"+int_2_string(MAX_KSD_HM)
+"_N_"+int_2_string(STATE_NUM)+"\\";
//建立目录，如果不存在则自动建立目录
char *tag;
for(tag=(char*)curr_DIR.c_str();*tag;tag++){
if(*tag=='\\'){
char buf[1024],path[1024];
strcpy(buf,curr_DIR.c_str());
buf[strlen(curr_DIR.c_str())-strlen(tag)+1]=NULL;
strcpy(path,buf);
if(access(path,6)==-1)
mkdir(path);
}
}
for(int i=1;i<=d;i++){
//枚举所有输入差分的汉明重量为i的差分
u32 state_Len=STATE_REDUCE-SP; //总的状态数 减去sampling resistance的大小
cout<<"Grain reduce--开始处理输入差分汉明重量为:"<<i<<"的情况."<<endl;
double time[4]={0};
start_cal();
combination_for_search_grain_reduce_v3(state_Len,i,curr_DIR);
end_cal(time);
cout<<"Grain reduce--输入差分汉明重量为:"<<i<<"的情况已经处理完毕."<<endl;
printf("Time: %d hours, %d minutes, %f seconds.\n\n", (int)time[0],(int)time[1],time[2]);
}
}
bool online_attack(){
//random select a key and IV and run the initial phase
ECRYPT_ctx_reduce* ctx_reduce=new ECRYPT_ctx_reduce;
u8* key_R=new u8[4]();
u8* IV_R=new u8[3]();
for(int i=0;i<4;i++){
key_R[i]= rc4();
}
for(int i=0;i<3;i++){
IV_R[i]= rc4();
}
ECRYPT_keysetup_reduce(ctx_reduce,key_R,32,24);
ECRYPT_ivsetup_reduce(ctx_reduce,IV_R);
//initial phase complete, start to collect sets A and B
start_cal();
double time[4]={0};
bool res=collect_sets(ctx_reduce,1,12);
end_cal(time);
printf("Time: %d hours, %d minutes, %f seconds.\n\n", (int)time[0],(int)time[1],time[2]);
//测试时刻和保存的内部状态，以及输出的密钥流是否对得上
delete [] key_R;
delete [] IV_R;
//delete ctx_reduce;
return res;
}
static QState uiMenuCalibrateTemperatureStart(struct UI *me)
{
switch (Q_SIG(me)) {
case Q_ENTRY_SIG:
QActive_armX(&me->super, 1, 1);
return Q_HANDLED();
case Q_TIMEOUT1_SIG:
if (start_cal(me)) {
return Q_TRAN(uiMenuCalibrateTemperatureStarted);
} else {
me->temperatureWaits ++;
Q_ASSERT( me->temperatureWaits < 10 );
return Q_TRAN(uiMenuCalibrateTemperatureStart);
}
}
return Q_SUPER(uiMenuCalibrateDeferExit);
}
//测试调用一次genOutput_diff_imp_grain_reduce_v1函数需要多长时间 NCA-1.0
//以及每次枚举随机状态的个数和输出差分个数之间的差距
void test_time_genOutput_v1(){
u32 d=4;
u32 k=1;
for(;k<=d;k++){
u32 *v=new u32[k+1]();
//进行10次实验
double time[4]={0};
start_cal();
for(int j=0;j<10;j++){
for(int i=0;i<k;i++){
v[i]=(rc4() % STATE_REDUCE) +1;
}
v[k]=STATE_REDUCE+1;
genOutput_diff_imp_grain_reduce_v1(k,v,d);
}
end_cal(time);
printf("输入差分的汉明重量:%d, 每一个差分枚举的状态个数为：%d.\n",k,STATE_NUM*k);
printf("Time: %d hours, %d minutes, %f seconds.\n\n", (int)time[0],(int)time[1],time[2]);
delete [] v;
}
}
//测试genOutput_diff_imp_grain_reduce函数需要多长时间 NCA-3.0
void test_time_genOutput_v3(){
u32 d=4;
u32 k=1;
//针对不同重量的输入差分
for(;k<=d;k++){
u32 *v=new u32[k+1]();
//进行10次实验
double time[4]={0};
u32 state_Len=STATE_REDUCE-SP; //总的状态数 减去sampling resistance的大小
start_cal();
for(int j=0;j<10;j++){
for(int i=0;i<k;i++){
v[i]=(rc4() % state_Len) +1;
}
v[k]=state_Len+1;
genOutput_diff_imp_grain_reduce_v3(k,v,"");
}
end_cal(time);
printf("输入差分的汉明重量:%d, 每一个差分枚举的状态个数为：%d.\n",k,STATE_NUM*k);
printf("Time: %d hours, %d minutes, %f seconds.\n\n", (int)time[0],(int)time[1],time[2]);
delete [] v;
}
}
