
You are a professional in creating scientific diagrams, with a proven track record of producing illustrations for researchers that have been published in top-tier CCF A conferences and journals. Please create a scientific illustration based on the following requirements, ensuring a **left-to-right** data flow layout. #### 1. Overall Layout * **Input (Left):** Raw Data Payload + Statistical Features (Stats) + Sequence Information (Seq). * **Intermediate Processing (Center):** A three-level cascade: Micro (byte-level) -> Intra (packet sequence-level) -> Meso (flow-level aggregation). * **Output (Right):** Macro (graph network interaction) -> Classifier. #### 2. Module Details (Based on Code Class Decomposition) **A. Micro Level - `PayloadByteCNN`** * **Drawing Elements:** Draw a rectangular box containing two "Conv1d Blocks". * **Details:** * Input: `x_payload` (Int16). * Operations: Embedding -> Conv1d (k=5) -> GroupNorm -> GELU -> Conv1d (k=3) -> GroupNorm. * Output: Payload Vector (one vector per data packet). **B. Fusion & Encoding Layer (Fusion & Intra) - Main Model & `IntraFlowEncoder`** * **Key Point:** This section features a complex fusion mechanism, a highlight of the diagram. * **Drawing Elements:** 1. **Multiple Inputs:** Draw `Seq Emb` (Sequence Embedding) and `Stats MLP` (Statistical Features) side-by-side. 2. **Gated Fusion:** Draw two gate icons. * `ctx_mix` (Softmax): Fuses Seq and Stats. * `evi_gate` (Sigmoid): Fuses Payload Vector and the previous context. 3. **Injection:** Before entering the Transformer, draw two arrows converging, representing `Pos Emb` (Position Encoding) and `Time MLP` (Time Features). 4. **Transformer:** Draw a standard stacked Transformer Encoder block (N=2), outputting...
The breakthroughs and widespread adoption of new-generation ...