Java 開発で Baidu AI インターフェイスに接続するときにデータのセキュリティと信頼性を確保する方法

import java.io.BufferedReader;
import java.io.InputStreamReader;
import java.net.URL;
import javax.net.ssl.HttpsURLConnection;

public class HttpsRequestExample {
    public static void main(String[] args) throws Exception {
        String url = "https://aip.baidubce.com/rest/2.0/ocr/v1/general_basic";
        String apiKey = "your_api_key";
        String secretKey = "your_secret_key";
        String params = "image=base64_image";

        URL obj = new URL(url);
        HttpsURLConnection con = (HttpsURLConnection) obj.openConnection();

        // 设置请求方法为POST
        con.setRequestMethod("POST");

        // 设置请求头
        con.setRequestProperty("Content-Type", "application/x-www-form-urlencoded");
        con.setRequestProperty("API_KEY", apiKey);
        con.setRequestProperty("SECRET_KEY", secretKey);

        // 发送POST请求
        con.setDoOutput(true);
        con.getOutputStream().write(params.getBytes("UTF-8"));
        con.getOutputStream().flush();

        // 获取响应结果
        int responseCode = con.getResponseCode();
        BufferedReader in = new BufferedReader(new InputStreamReader(con.getInputStream()));
        String inputLine;
        StringBuilder response = new StringBuilder();
        while ((inputLine = in.readLine()) != null) {
            response.append(inputLine);
        }
        in.close();

        // 输出响应结果
        System.out.println(response.toString());
    }
}

import com.alibaba.fastjson.JSONObject;

public class OCRUtils {
    private static final String OCR_URL = "https://aip.baidubce.com/rest/2.0/ocr/v1/general_basic";
    private static final String API_KEY = "your_api_key";
    private static final String SECRET_KEY = "your_secret_key";

    public static String doOCR(String image) throws Exception {
        // 构建请求参数
        String params = "image=" + image;

        // 发送请求并获取响应结果
        String response = HttpsRequestUtils.doPost(OCR_URL, params, API_KEY, SECRET_KEY);

        // 解析响应结果
        JSONObject jsonObject = JSONObject.parseObject(response);

        // 校验返回结果
        if (jsonObject.containsKey("error_code")) {
            throw new Exception("OCR request failed: " + jsonObject.getString("error_msg"));
        }

        // 获取识别结果
        StringBuilder result = new StringBuilder();
        JSONArray words = jsonObject.getJSONArray("words_result");
        for (Object word : words) {
            result.append(((JSONObject) word).getString("words")).append("
");
        }

        return result.toString();
    }
}