# 加密階段
def paillier_encrypt(plaintext, pub_key):
    # 實(shí)現(xiàn)Paillier加密
    ...

# 查詢處理
encrypted_pattern = paillier_encrypt('張', pub_key)
query = "SELECT * FROM users WHERE paillier_compare(name_encrypted, %s)" 
cursor.execute(query, (encrypted_pattern,))

CREATE TABLE user_enc (
    id INTPRIMARY KEY,
    name_enc BLOB,
    seg1 CHAR(32),
    seg2 CHAR(32),
    seg3 CHAR(32),
    FULLTEXT INDEX (seg1, seg2, seg3)
);

-- 插入示例
INSERTINTO user_enc VALUES (
    1, 
    AES_ENCRYPT('張三豐', 'key'),
    MD5(SUBSTR('張三豐',1,1)),
    MD5(SUBSTR('張三豐',2,1)),
    MD5(SUBSTR('張三豐',3,1))
);

def build_query(keyword):
    segments = segment(keyword)  # 使用結(jié)巴分詞
    conditions = []
    for seg in segments:
        for i in range(len(seg)):
            partial = seg[i]
            hash_val = md5(partial).hexdigest()
            conditions.append(f"seg1 = '{hash_val}'")
    return " OR ".join(conditions)

# 生成SQL
WHERE {condition} AND AES_DECRYPT(name_enc, 'key') LIKE '%張%'

E(x) = ax + b + noise(x)

+---------------------+
|  Enclave            |
|   - 解密數(shù)據(jù)        |
|   - 執(zhí)行LIKE匹配    |
|   - 返回結(jié)果哈希    |
+---------------------+
        ↓
MySQL Plugin → 應(yīng)用層

+-----------------------+
| 應(yīng)用層                |
|  - 查詢解析           |
|  - 策略路由           |
+-----------------------+
        ↓
+-----------------------+
| 加密服務(wù)層            |
|  - 分詞處理           |
|  - 條件重寫           |
|  - 密鑰管理           |
+-----------------------+
        ↓
+-----------------------+
| 存儲(chǔ)引擎層            |
|  - 密文存儲(chǔ)           |
|  - 索引優(yōu)化           |
+-----------------------+

def preprocess(data):
    segments = jieba.cut(data, cut_all=False)
    encrypted_segments = []
    for seg in segments:
        if len(seg) > 1:
            # 處理多字詞
            encrypted_segments.append(aes_encrypt(seg))
        # 單字處理
        for char in seg:
            encrypted_segments.append(md5(char + salt))
    return encrypted_segments

CREATE INDEX idx_segment ON user_enc (
    seg1, seg2, seg3
) USING HASH;

ANALYZE TABLE user_enc UPDATE HISTOGRAM ON seg1, seg2, seg3;

public String rewriteQuery(String original) {
    Patternpattern= Pattern.compile("LIKE '(.*?)'");
    Matchermatcher= pattern.matcher(original);
    while(matcher.find()) {
        Stringkeyword= matcher.group(1);
        StringnewCondition= buildSegmentCondition(keyword);
        original = original.replace(matcher.group(), newCondition);
    }
    return original + " /* ENCRYPTED_QUERY */";
}

# 緩存分詞結(jié)果
SETEX "seg_cache:張" 3600 "seg1_hash|seg2_hash|seg3_hash"

# 緩存查詢計(jì)劃
SETEX "query_plan:select*" 600 "optimized_plan"

from concurrent.futures import ThreadPoolExecutor

def batch_decrypt(rows):
    with ThreadPoolExecutor(max_workers=8) as executor:
        return list(executor.map(decrypt_row, rows))

[mysqld]
innodb_buffer_pool_size=16G
innodb_io_capacity=20000
query_cache_type=2

-- 密鑰版本化存儲(chǔ)
ALTERTABLE user_enc 
ADDCOLUMN key_version INTDEFAULT1;

CREATE EVENT rotate_keys
ON SCHEDULE EVERY1MONTH
DO
   UPDATE user_enc 
   SET key_version = key_version +1
   WHERE id %100=0; -- 漸進(jìn)式輪換

$ sqlmap -u "http://api/search?q=test" --risk=3
...
[14:32:45] [INFO] testing 'MySQL >= 5.0.12 AND time-based blind'
[14:32:47] [INFO] no vulnerability detected