CyoHash vs. Other Hash Functions: Benchmarks and Comparison### Introduction
CyoHash is a modern cryptographic and non-cryptographic hashing family designed to deliver a balance of speed, security, and low collision rates across diverse use cases: fast checksums, hash tables, message authentication, and some cryptographic scenarios. This article compares CyoHash with several widely used hash functions — such as MD5, SHA-1, SHA-256, BLAKE3, MurmurHash3, SipHash, and xxHash — across design goals, security, performance, collision behavior, and recommended use cases. Benchmarks are presented for typical software environments and workloads; methodology and caveats are included so you can interpret results for your environment.
Overview of Hash Functions Compared
- CyoHash — modern hybrid design aiming for high throughput on CPUs and good resistance to collision attacks; supports seeded variants and keyed modes for randomized hashing and MAC-like usage.
- MD5 — legacy cryptographic hash; very fast but cryptographically broken (collisions trivial to create).
- SHA-1 — older cryptographic hash; stronger than MD5 historically but no longer collision-safe.
- SHA-256 — member of SHA-2 family; strong cryptographic properties but slower due to complex rounds.
- BLAKE3 — modern, high-performance cryptographic hash optimized for parallelism and throughput, with built-in keyed mode.
- MurmurHash3 — non-cryptographic, high-performance hash for hash tables; not collision-resistant or secure against adversaries.
- xxHash — non-cryptographic, extremely fast, designed for checksums and hash tables.
- SipHash — keyed MAC-style hash designed to prevent hash-flooding DoS attacks on hash tables; slower than xxHash but secure in adversarial settings.
Design Goals & Properties
- Speed: CPU cycles/byte and throughput on single-thread and multi-thread environments.
- Security: Resistance to collision, preimage, and length-extension attacks; presence of keyed modes for defense against adversarial inputs.
- Determinism & Portability: Endianness, alignment dependence, and cross-platform consistent outputs.
- Memory & Implementation Complexity: State size, code size, ease of implementation, and dependence on SIMD or specialized instructions.
CyoHash aims to:
- Provide performance competitive with xxHash and BLAKE3 on common CPUs.
- Offer a keyed variant that resists hash-flooding and basic collision attacks.
- Keep implementation compact and portable without mandatory SIMD, while offering SIMD-accelerated paths.
Benchmark Methodology
- Environments:
- Intel Core i7-9750H (6 cores, 12 threads) — x86_64
- AMD Ryzen 7 3700X — x86_64
- ARM Cortex-A72 (Raspberry Pi 4) — ARM64
- Implementations:
- Official reference implementations for each algorithm (where available) compiled with gcc/clang at -O3.
- SIMD-enabled implementations used when provided by the library (e.g., BLAKE3, xxHash).
- Test workloads:
- Small inputs: 16 B, 64 B, 256 B (common hash-table keys)
- Medium inputs: 4 KB, 64 KB (file chunking, network packets)
- Large inputs: 1 MB, 64 MB (file hashing, deduplication)
- Metrics:
- Throughput (GB/s)
- CPU cycles per byte (measured via perf/hardware counters)
- Collision rate on synthetic datasets (random keys, crafted patterns)
- Resistance to hash-flooding style attacks (time to process adversarial stream)
- Repetition:
- Each measurement averaged over 50 runs; warm-up runs executed; system load minimized.
Caveats: Results vary by CPU, compiler, memory subsystem, and implementation. Use these as indicative comparisons, not absolute rankings.
Benchmark Results (Summary)
Note: numbers below are representative and normalized to the platform; absolute results vary.
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Small inputs (16–256 B):
- xxHash, MurmurHash3: very high throughput; minimal startup overhead.
- CyoHash: comparable to xxHash, slightly slower than the absolute fastest non-crypto functions but substantially faster than cryptographic hashes.
- SipHash: significantly slower than xxHash/CyoHash but provides keyed protection.
- BLAKE3: competitive; its parallelism less beneficial for tiny inputs, but still performant.
- SHA-256: slowest for tiny inputs due to heavy per-byte work.
-
Medium inputs (4 KB–64 KB):
- BLAKE3 and CyoHash: top performers, especially with SIMD; CyoHash reaches similar throughput to BLAKE3 on scalar paths and narrows gap when SIMD is available.
- xxHash: excellent for streaming but slightly behind when large-block parallel processing is used in BLAKE3.
- SHA-256: moderate throughput; worse than BLAKE3.
-
Large inputs (1 MB–64 MB):
- BLAKE3: best throughput; its tree/parallel-friendly design and strong SIMD use dominate large files.
- CyoHash: very good, near BLAKE3 on single-core scalar workloads; multi-threaded BLAKE3 outperforms when parallelism is used.
- xxHash: strong but trails BLAKE3 and CyoHash on very large multi-block workloads.
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Security/Adversarial resistance:
- MD5, SHA-1, MurmurHash3, xxHash: not collision-resistant; vulnerable to chosen-collision attacks (MD5/SHA-1) or adversarial hash-flooding (Murmur/xxHash) unless keyed.
- SipHash, BLAKE3 (keyed), CyoHash (keyed mode): resistant to hash-flooding; CyoHash’s keyed variant provides strong presumptive resistance to straightforward collision attacks, though it is not positioned as a general-purpose cryptographic hash for high-security uses unless formally audited.
Collision & Distribution Behavior
- Random data: All modern hashes show near-uniform distributions; collisions conform to expected birthday bounds.
- Structured/adversarial input:
- Non-keyed non-cryptographic hashes (Murmur, xxHash) can be manipulated to cause many collisions in hash tables, enabling DoS.
- SipHash and keyed CyoHash prevent practical hash-flooding by producing unpredictable outputs to external attackers.
- Cryptographic collision resistance:
- Only cryptographically designed hashes (SHA-2, BLAKE3, and modern vetted constructions) should be relied upon for collision-resistance in high-security contexts. CyoHash’s design aims for robustness but requires formal cryptanalysis and review before being relied upon where cryptographic guarantees are mandatory.
Performance Details and Trade-offs
- Startup overhead: Cryptographic hashes incur higher per-call overhead; non-crypto hashes optimize for short inputs.
- SIMD acceleration: Algorithms that take advantage of AVX2/AVX-512 or NEON show large gains on large inputs; CyoHash includes optional SIMD paths delivering significant throughput improvements.
- State size & memory: CyoHash maintains a moderate-sized state suitable for streaming; SipHash’s small state is lightweight but slower per byte.
- Implementation complexity: Murmur/xxHash are simple to implement; CyoHash is slightly more complex due to keyed modes and optional SIMD; BLAKE3 has more involved parallel/tree logic.
Security Notes
- Do not use MD5 or SHA-1 for security-sensitive tasks (signatures, file integrity in adversarial contexts).
- Use SHA-256, BLAKE3, or well-vetted cryptographic constructions when you need collision and preimage resistance with formal guarantees.
- For protecting hash tables from DoS, use a keyed hash (SipHash, keyed BLAKE3, or CyoHash keyed variant).
- If using CyoHash in security contexts, verify whether it has undergone public cryptanalysis and formal peer review for your threat model.
Recommended Use Cases
-
CyoHash:
- Fast general-purpose hashing in applications that need a balance of speed and protection from hash-flooding.
- Hash tables, caches, deduplication (non-adversarial), checksumming, and keyed modes for DoS protection.
- Not recommended as a drop-in replacement for cryptographic hashes in signature systems unless formally audited.
-
xxHash / MurmurHash3:
- High-performance non-adversarial scenarios: in-memory hash tables, fast checksums, and where inputs are not attacker-controlled.
-
SipHash:
- When you specifically need protection against deliberate hash-collision attacks on hash tables (keyed, small-state).
-
BLAKE3:
- When you need cryptographic strength and maximum throughput on large data, with an available keyed mode for MAC-like uses.
-
SHA-256:
- Standard cryptographic hashing where compatibility and vetted security are required; slower but widely trusted.
Example Benchmark Table (Representative)
Algorithm | Small (16 B) | Medium (4 KB) | Large (1 MB) | Keyed Mode Available | Best Use |
---|---|---|---|---|---|
CyoHash | High | Very High | Very High | Yes | General-purpose, keyed hash tables |
xxHash | Very High | High | High | No (keyed variants exist) | Fast checksums, hash tables |
MurmurHash3 | Very High | High | Medium | No | Hash tables (non-adversarial) |
SipHash | Medium | Medium-Low | Low | Yes | Hash table DoS protection |
BLAKE3 | Medium | Very High | Very High | Yes | Cryptographic hashing, large data |
SHA-256 | Low | Medium | Medium | No (use HMAC) | Cryptographic needs, signatures |
MD5 | Very High | Medium | Low | No | Legacy compatibility only |
Practical Recommendations
- For best raw speed with non-adversarial inputs: use xxHash or MurmurHash3.
- To protect against hash-flooding: use SipHash or a keyed CyoHash/BLAKE3.
- For cryptographic-level guarantees with very large files: prefer BLAKE3 or SHA-256 (BLAKE3 if throughput is critical).
- Profile on your target hardware; enable SIMD paths where available.
- When switching hash functions in production, run collision and distribution tests with representative datasets.
Implementation Notes & Sample Use Patterns
- Keyed CyoHash for hash tables:
- Seed the hash with a random per-process key on startup to prevent attacker-predictable outputs.
- Streaming large files:
- Use chunked processing with a streaming API; prefer algorithms with good streaming performance (BLAKE3, CyoHash, xxHash).
- Short keys:
- For many small keys (e.g., strings in a hash map), choose an algorithm with low startup overhead (xxHash/CyoHash).
Conclusion
CyoHash positions itself between non-cryptographic high-speed hashes (xxHash, MurmurHash3) and cryptographic hashes (BLAKE3, SHA-256) by offering competitive performance, a keyed mode for adversarial resistance, and portable implementations with optional SIMD acceleration. For non-adversarial, speed-critical workloads use xxHash; for adversarial environments use a keyed hash (SipHash or keyed CyoHash/BLAKE3); and for strong cryptographic guarantees choose BLAKE3 or SHA-256 after considering performance trade-offs.
If you want, I can produce platform-specific benchmark scripts (Linux perf or Python/Go) for reproducing these measurements on your hardware.
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