Na Li

22 papers Journal 18Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
IEEE Trans. Veh. Technol.
Shijia Yi, Haining Yang, Yutong Tian, Na Li, Tingjun Li, Yujian Cheng
2025 J jnl
IEEE Wirel. Commun. Lett.
Yutong Tian, Haining Yang, Shijia Yi, Tingjun Li, Zhihang Qu, Na Li, Yujian Cheng
2024 J jnl
IEEE Trans. Geosci. Remote. Sens.
Yutong Tian, Haining Yang, Shijia Yi, Tingjun Li, Na Li, Qing Huo Liu
2024 J jnl
IEEE Trans. Aerosp. Electron. Syst.
Shijia Yi, Haining Yang, Aya Li, Na Li, Tingjun Li, Zhihang Qu, Yujian Cheng
2022 J jnl
Remote. Sens.
Haining Yang, Yuting Liu, Tingjun Li, Shijia Yi, Na Li
2022 J jnl
IEEE Trans. Geosci. Remote. Sens.
Shijia Yi, Haining Yang, Na Li, Tingjun Li, Yong Fan, Qing Huo Liu
2021 J jnl
IEEE Trans. Geosci. Remote. Sens.
Decheng Hong, Na Li, Wei Han, Qiwei Zhan, Kirill Zeyde, Qing Huo Liu
2021 conf
CNIOT
Haining Yang, Yifei Hao, Tingjun Li, Kai Yu, Na Li
2021 conf
CNIOT
Haining Yang, Meili She, Tingjun Li, Kai Yu, Na Li
2021 conf
CNIOT
Tingjun Li, Wang Yan, Haining Yang, Kai Yu, Na Li
2020 J jnl
IEEE Trans. Geosci. Remote. Sens.
Na Li, Decheng Hong, Wei Han, Qing Huo Liu
2019 conf
ICCAIS
Yang Zhang, Guolong Cui, Lingjiang Kong, Shisheng Guo, Huquan Li, Na Li
2019 J jnl
Signal Process.
Na Li, Haining Yang, Guolong Cui, Lingjiang Kong, Qing Huo Liu
2019 J jnl
IEEE Trans. Geosci. Remote. Sens.
Na Li, Haining Yang, Tingjun Li, Yong Fan, Qing Huo Liu
2018 J jnl
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Haining Yang, Na Li, Tingjun Li, Qing Huo Liu
2018 J jnl
IEEE Geosci. Remote. Sens. Lett.
Hongmei Liu, Decheng Hong, Na Li, Wei Han, Qing Huo Liu
2017 J jnl
Circuits Syst. Signal Process.
Yun Zhou, Haining Yang, Na Li, Guolong Cui, Lingjiang Kong
2016 J jnl
IEEE Trans. Geosci. Remote. Sens.
Haining Yang, Tingjun Li, Na Li, Zhiming He, Qing Huo Liu
2016 J jnl
IEEE Trans. Geosci. Remote. Sens.
Haining Yang, Tingjun Li, Na Li, Zhiming He, Qing Huo Liu
2015 J jnl
Signal Process.
Na Li, Guolong Cui, Haining Yang, Lingjiang Kong, Qing Huo Liu, Salvatore Iommelli
2015 J jnl
IEEE Trans. Geosci. Remote. Sens.
Haining Yang, Tingjun Li, Na Li, Zhiming He, Qing Huo Liu
2014 J jnl
Circuits Syst. Signal Process.
Na Li, Guolong Cui, Lingjiang Kong, Xiaobo Yang
redb/extractors/decompiler/apk/smali_normalization.py
← Index redb/extractors/decompiler/apk/smali_normalization.py python
"""Semantic normalization of Dalvik/smali instructions.

Analogous to Binary Ninja's LLIL normalization: strips register allocation
noise and instruction encoding variants while preserving semantic operations.

Three normalization levels (most aggressive to most detailed):
  - 'category':    semantic category only (MOV, ALU, CALL, ...)
  - 'opcode':      base opcode, width-invariant (add, sub, invoke, ...)
  - 'opcode_api':  opcode category + API method/field references for
                   invoke/field/alloc instructions (default for MinHash)

References:
  - Smali+ 12-category reduction (Canfora et al.)
  - MOSDroid opcode family grouping
  - DroidSIFT/DroidSim API-sensitive similarity
"""

import re
from typing import List

# ---------------------------------------------------------------------------
# Dalvik opcode -> semantic category mapping
# ---------------------------------------------------------------------------
# Prefix-matched against instruction opcodes. Order matters for overlapping
# prefixes (longer/more-specific prefixes should come first in iteration,
# but since we use startswith and break on first match, we order by
# specificity within the list).

OPCODE_CATEGORIES = {
    # Arithmetic/logic
    "add": "ALU", "sub": "ALU", "mul": "ALU", "div": "ALU",
    "rem": "ALU", "and": "ALU", "or": "ALU", "xor": "ALU",
    "shl": "ALU", "shr": "ALU", "ushr": "ALU", "neg": "ALU",
    "not": "ALU",
    # Data movement
    "move": "MOV", "const": "CONST",
    # Memory access (field/array)
    "iget": "LOAD", "sget": "LOAD", "aget": "LOAD",
    "iput": "STORE", "sput": "STORE", "aput": "STORE",
    # Invocations
    "invoke": "CALL",
    # Control flow
    "if": "BRANCH", "goto": "JMP",
    "switch": "SWITCH",
    "return": "RET",
    # Object/type
    "new": "ALLOC", "check": "TYPE", "instance": "TYPE",
    # Array
    "fill": "ARR", "array": "ARR",
    # Comparison
    "cmpl": "CMP", "cmpg": "CMP", "cmp": "CMP",
    # Exception / synchronization
    "throw": "EXC", "monitor": "SYNC",
    # Conversion (int-to-long, float-to-int, etc.)
    "int-to": "CONV", "long-to": "CONV", "float-to": "CONV",
    "double-to": "CONV",
}

# Pre-compiled regexes for operand extraction
_METHOD_REF_RE = re.compile(r"(L[\w/$]+;->[\w<>]+\(.*?\)[\w/$;\[]*)")
_FIELD_REF_RE = re.compile(r"(L[\w/$]+;->[\w]+:[\w/$;\[]+)")
_CLASS_REF_RE = re.compile(r"(L[\w/$]+;)")
_CONST_STRING_RE = re.compile(r'^const-string(?:/jumbo)?\s')


def categorize_opcode(opcode: str) -> str:
    """Map a Dalvik opcode to its semantic category.

    Prefix-matched: 'add-int/2addr' matches 'add' -> 'ALU'.
    Returns 'OTHER' for unrecognized opcodes.
    """
    for prefix, cat in OPCODE_CATEGORIES.items():
        if opcode.startswith(prefix):
            return cat
    return "OTHER"


# Mapping from semantic categories to the ACFG feature vector indices
# used by Binary Ninja's build_block_features (cfg_features.py).
# This enables cross-platform ACFG feature comparison.
CATEGORY_TO_ACFG_INDEX = {
    "ALU": 0,       # CAT_ARITHMETIC
    "CONV": 0,      # arithmetic-adjacent
    "CMP": 4,       # CAT_COMPARISON
    "MOV": 2,       # CAT_TRANSFER
    "CONST": 2,     # transfer-adjacent (loading constants)
    "LOAD": 5,      # CAT_MEMORY
    "STORE": 5,     # CAT_MEMORY
    "CALL": 3,      # CAT_CALL
    "BRANCH": 1,    # CAT_LOGIC (conditional logic)
    "JMP": 1,       # CAT_LOGIC
    "SWITCH": 1,    # CAT_LOGIC
    "RET": 2,       # CAT_TRANSFER
    "ALLOC": 5,     # CAT_MEMORY (heap allocation)
    "TYPE": 6,      # CAT_OTHER
    "ARR": 5,       # CAT_MEMORY
    "EXC": 6,       # CAT_OTHER
    "SYNC": 6,      # CAT_OTHER
    "OTHER": 6,     # CAT_OTHER
}


def normalize_instruction(line: str, level: str = "opcode_api") -> str:
    """Normalize a single smali instruction line.

    Args:
        line: A single smali instruction (whitespace-stripped).
        level: Normalization level:
            'category'   - most aggressive: just semantic category
            'opcode'     - base opcode only, width/addressing-mode invariant
            'opcode_api' - category + API references for invoke/field/alloc
                          (default, best for MinHash similarity)

    Returns:
        Normalized instruction string, or empty string for non-instructions.
    """
    stripped = line.strip()
    if not stripped:
        return ""

    parts = stripped.split(None, 1)
    opcode = parts[0]
    operands = parts[1] if len(parts) > 1 else ""

    if level == "category":
        return categorize_opcode(opcode)

    if level == "opcode":
        # Strip type/width suffixes for invariance:
        # add-int, add-long, add-float -> 'add'
        # add-int/2addr -> 'add'
        base = re.split(r"[-/]", opcode)[0]
        return base

    if level == "opcode_api":
        # const-string: preserve string content (encrypted strings are a
        # key malware indicator)
        if _CONST_STRING_RE.match(stripped):
            # Extract the string literal
            str_match = re.search(r'"(.*)"', operands)
            if str_match:
                return f"CONST_STR \"{str_match.group(1)}\""
            return "CONST_STR"

        # invoke-*: preserve method reference
        if opcode.startswith("invoke"):
            ref = _METHOD_REF_RE.search(operands)
            if ref:
                return f"CALL {ref.group(1)}"
            return "CALL"

        # Field access: preserve field reference
        if opcode.startswith(("iget", "iput", "sget", "sput")):
            ref = _FIELD_REF_RE.search(operands)
            if ref:
                cat = "LOAD" if "get" in opcode else "STORE"
                return f"{cat} {ref.group(1)}"
            # Fallback: try space-separated format from androguard
            # e.g. "iget v0, p0, Lcom/Foo;->field Ljava/lang/String;"
            space_ref = re.search(
                r"(L[\w/$]+;->[\w]+)\s+([\w/$;\[]+)", operands
            )
            if space_ref:
                cat = "LOAD" if "get" in opcode else "STORE"
                return f"{cat} {space_ref.group(1)}:{space_ref.group(2)}"
            cat = "LOAD" if "get" in opcode else "STORE"
            return cat

        # new-instance: preserve allocated type
        if opcode.startswith("new-instance") or opcode == "new-array":
            ref = _CLASS_REF_RE.search(operands)
            if ref:
                return f"ALLOC {ref.group(1)}"
            return "ALLOC"

        # Everything else: just the category
        return categorize_opcode(opcode)

    # Unknown level: return raw opcode
    return opcode


def normalize_method_body(
    body: str, level: str = "opcode_api"
) -> List[str]:
    """Normalize all instructions in a smali method body.

    Filters out directives (.), labels (:), comments (#), and blank lines.
    Returns a list of normalized instruction strings.

    Args:
        body: Raw smali method body text.
        level: Normalization level (see normalize_instruction).

    Returns:
        List of normalized instruction strings (no empty strings).
    """
    normalized = []
    for line in body.split("\n"):
        stripped = line.strip()
        # Skip non-instructions
        if not stripped:
            continue
        if stripped.startswith((".",":", "#")):
            continue
        result = normalize_instruction(stripped, level)
        if result:
            normalized.append(result)
    return normalized