编程计算典型对称密码算法、非对称密码算法、杂凑算法的效率,即每秒可以处理多少字节的信息。java
时间: 2023-11-18 18:29:36 浏览: 33
计算加密算法效率的复杂度比较高,因为它取决于多个因素,例如算法的实现方式、计算机的处理能力等等。因此,以下代码仅仅提供了一个大致的效率计算方式,不一定完全准确。
对称密码算法(AES):
```java
import javax.crypto.Cipher;
import javax.crypto.KeyGenerator;
import javax.crypto.SecretKey;
import java.security.NoSuchAlgorithmException;
import java.util.Arrays;
public class SymmetricEncryptionBenchmark {
public static void main(String[] args) throws NoSuchAlgorithmException {
int dataSizeInBytes = 1024 * 1024; // 1MB
byte[] data = new byte[dataSizeInBytes];
Arrays.fill(data, (byte) 0x41); // fill with 'A'
SecretKey key = KeyGenerator.getInstance("AES").generateKey();
Cipher cipher = Cipher.getInstance("AES/ECB/PKCS5Padding");
long startTime = System.currentTimeMillis();
for (int i = 0; i < 1000; i++) {
cipher.init(Cipher.ENCRYPT_MODE, key);
cipher.doFinal(data);
}
long endTime = System.currentTimeMillis();
int dataSizeInBits = dataSizeInBytes * 8;
double elapsedTimeInSeconds = (endTime - startTime) / 1000.0;
double throughputInMbps = dataSizeInBits * 1000.0 / elapsedTimeInSeconds / 1024.0 / 1024.0;
System.out.printf("AES Encryption Throughput: %.2f Mbps\n", throughputInMbps);
}
}
```
非对称密码算法(RSA):
```java
import java.security.KeyPair;
import java.security.KeyPairGenerator;
import java.security.NoSuchAlgorithmException;
import java.security.PrivateKey;
import java.security.PublicKey;
import java.util.Arrays;
import javax.crypto.Cipher;
public class AsymmetricEncryptionBenchmark {
public static void main(String[] args) throws NoSuchAlgorithmException {
int dataSizeInBytes = 1024; // 1KB
byte[] data = new byte[dataSizeInBytes];
Arrays.fill(data, (byte) 0x41); // fill with 'A'
KeyPair keyPair = KeyPairGenerator.getInstance("RSA").generateKeyPair();
PublicKey publicKey = keyPair.getPublic();
PrivateKey privateKey = keyPair.getPrivate();
Cipher cipher = Cipher.getInstance("RSA/ECB/PKCS1Padding");
long startTime = System.currentTimeMillis();
for (int i = 0; i < 1000; i++) {
cipher.init(Cipher.ENCRYPT_MODE, publicKey);
cipher.doFinal(data);
}
long endTime = System.currentTimeMillis();
int dataSizeInBits = dataSizeInBytes * 8;
double elapsedTimeInSeconds = (endTime - startTime) / 1000.0;
double throughputInMbps = dataSizeInBits * 1000.0 / elapsedTimeInSeconds / 1024.0 / 1024.0;
System.out.printf("RSA Encryption Throughput: %.2f Mbps\n", throughputInMbps);
}
}
```
杂凑算法(SHA-256):
```java
import java.security.MessageDigest;
import java.security.NoSuchAlgorithmException;
import java.util.Arrays;
public class HashingBenchmark {
public static void main(String[] args) throws NoSuchAlgorithmException {
int dataSizeInBytes = 1024 * 1024; // 1MB
byte[] data = new byte[dataSizeInBytes];
Arrays.fill(data, (byte) 0x41); // fill with 'A'
MessageDigest md = MessageDigest.getInstance("SHA-256");
long startTime = System.currentTimeMillis();
for (int i = 0; i < 1000; i++) {
md.update(data);
md.digest();
}
long endTime = System.currentTimeMillis();
int dataSizeInBits = dataSizeInBytes * 8;
double elapsedTimeInSeconds = (endTime - startTime) / 1000.0;
double throughputInMbps = dataSizeInBits * 1000.0 / elapsedTimeInSeconds / 1024.0 / 1024.0;
System.out.printf("SHA-256 Hashing Throughput: %.2f Mbps\n", throughputInMbps);
}
}
```
以上代码中,我们使用填充的方式来确保数据大小是块的整数倍。然后我们将数据加密/哈希1000次,并计算每秒可处理的数据量。请注意,这些值仅供参考,实际效率可能会因多种因素而异。