๐ฒ OTP Authentication Flow in Java (Spring Boot) — Secure, Fast & Scalable in 5 Steps! ๐๐
Need to build a secure One-Time Password (OTP) login flow for your mobile or web app? Here's a clean and production-grade architecture to implement OTP authentication using Java, Spring Boot, Redis, and JWT — in just 5 key engineering steps. ⚙️
1️⃣ Generate & Send OTP
๐ฏ Goal: Create and send a time-bound OTP to the user’s mobile/email๐ ️ Tech Stack: Java (Spring Boot), Redis, Twilio or Email API
๐Use Case: User enters mobile/email → system sends 6-digit OTP
๐ Security: OTP TTL is set in Redis (e.g., 5 minutes), retry limits are enforced
๐ Implementation Steps:
- Generate a 6-digit numeric OTP.
- Send OTP using Twilio (SMS) or Email API.
- Store OTP with a unique Redis key tied to user identifier (e.g., OTP_user123).
- Set TTL in Redis (typically 300 seconds).
- Log the request and enforce basic spam protection (e.g., max 3 OTPs in 10 mins).
2️⃣ Store OTP Securely in Redis
๐ฏ Goal: Save OTP in Redis with automatic expiration to ensure security๐ ️ Tech Stack: Redis, Spring Boot, Spring Cache or RedisTemplate
๐Use Case: OTP stored with a key like
OTP_userId
and expires automatically๐งจ Prevent Abuse: Throttle OTP generation using Redis counters (e.g.,
otp_attempt_user123
)
๐ Implementation Steps:
- Use Redis to store the OTP against a key like
OTP_user_abc
. - Set expiration (e.g., 5 minutes) when setting the key.
- Track the number of OTP generation requests using a separate Redis counter per user/IP.
- Deny new OTPs if the user exceeds allowed limit (e.g., 5 OTPs per hour).
3️⃣ Verify OTP
๐ฏ Goal: Validate the OTP submitted by the user against Redis-stored value๐ ️ Tech Stack: Java (Spring Boot), Redis
๐Use Case: Compare user input vs stored OTP, allow only 3 attempts
✅ On Success: Delete the OTP key and create a login session or JWT
❌ On Failure: Increment attempt count in Redis and block after 3 wrong attempts
๐ Implementation Steps:
- Retrieve the OTP from Redis using the key
OTP_user_abc
. - Compare the user’s submitted OTP with the stored one.
- Track verification attempts using another Redis key.
- Allow up to 3 attempts. On success, delete the OTP from Redis.
- On repeated failure, temporarily block OTP verification for that user.
4️⃣ Session or JWT Token Generation
๐ฏ Goal: Issue a secure session or JWT token upon successful OTP verification๐ ️ Tech Stack: Java JWT (e.g.,
jjwt
or auth0
), Spring Security๐Use Case: Once OTP is validated, generate token for further requests
๐ Bonus: Attach userId, issuedAt, expiry, and roles to JWT payload
๐ Implementation Steps:
- Use a JWT library to generate a signed token.
- Include user ID, timestamp, and expiry (e.g., 15 mins) in the payload.
- Return the token in the response header or body (typically as Bearer Token).
- Use Spring Security to validate and authorize further API requests.
5️⃣ Audit & Rate-Limit Monitoring
๐ฏ Goal: Track OTP traffic and block suspicious or abusive behavior๐ ️ Tech Stack: Redis (rate-limiting), Spring AOP, ELK Stack (optional)
๐Use Case: Monitor OTP request and validation counts per user/IP
๐จ Real-time Alerts: Alert if OTP attempts or request rates exceed safe limits
๐ Implementation Steps:
- Track OTP send and verify attempts using Redis per user/IP.
- Implement Spring AOP to log all OTP-related actions.
- Integrate with ELK or Prometheus/Grafana for alerting and dashboards.
- Block IP or user account temporarily if thresholds are exceeded.
✅ Summary
This OTP architecture ensures:
- ✅ Secure and time-limited OTPs
- ✅ Scalable in-memory storage via Redis
- ✅ Abuse protection with throttling and tracking
- ✅ JWT-based stateless authentication
- ✅ Auditable and observable with real-time alerts
Perfect for mobile logins, passwordless auth, and 2FA workflows! ๐
๐ Want the Full Implementation?
Please download the full implementation document from the link below ๐๐๐
➡️ Click here to download the full OTP implementation ๐
Thanks for reading! ๐ฌ Drop questions, thoughts, or suggestions in the comments!
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