Kang Yang

26 papers A* 1A 2B 1Misc 4Journal 17Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
CoRR
Jason Wu, Kang Yang, Lance M. Kaplan, Mani Srivastava
2025 J jnl
CoRR
Pengrui Quan, Brian Wang, Kang Yang, Liying Han, Mani Srivastava
2025 J jnl
CoRR
Diptyaroop Maji, Kang Yang, Prashant J. Shenoy, Ramesh K. Sitaraman, Mani Srivastava
2025 Misc conf
SenSys
Yuanlin Yang, Yuning Chen, Kang Yang, Sikai Yang, Wan Du
2025 J jnl
ACM Trans. Sens. Networks
Kang Yang, Yuning Chen, Wan Du
2025 J jnl
CoRR
Kang Yang, Yuning Chen, Wan Du
2025 J jnl
IEEE Trans. Mob. Comput.
Kang Yang, Yuning Chen, Wan Du
2025 Misc conf
SenSys
Kang Yang, Wan Du, Mani Srivastava
2025 J jnl
CoRR
Kang Yang, Gaofeng Dong, Sijie Ji, Wan Du, Mani Srivastava
2025 A conf
MobiSys
Kang Yang
2025 J jnl
CoRR
Kang Yang, Yuanlin Yang, Yuning Chen, Sikai Yang, Xinyu Zhang, Wan Du
2025 J jnl
CoRR
Oliver Wang, Pengrui Quan, Kang Yang, Mani Srivastava
2025 J jnl
CoRR
Gaofeng Dong, Kang Yang, Mani Srivastava
2024 J jnl
ACM Trans. Sens. Networks
Kang Yang, Wan Du
2024 J jnl
IEEE Trans. Knowl. Data Eng.
Zhihao Shen, Kang Yang, Xi Zhao, Jianhua Zou, Wan Du, Junjie Wu
2024 A* conf
KDD
Yuning Chen, Kang Yang, Zhiyu An, Brady Holder, Luke Paloutzian, Khaled M. Bali, Wan Du
2024 J jnl
CoRR
Yuning Chen, Kang Yang, Zhiyu An, Brady Holder, Luke Paloutzian, Khaled Bali, Wan Du
2024 A conf
MobiSys
Kang Yang, Yuning Chen, Wan Du
2024 J jnl
IEEE/ACM Trans. Netw.
Kang Yang, Miaomiao Liu, Wan Du
2024 J jnl
CoRR
Sikai Yang, Kang Yang, Yuning Chen, Fan Zhao, Wan Du
2023 J jnl
IEEE Trans. Mob. Comput.
Zhihao Shen, Kang Yang, Xi Zhao, Jianhua Zou, Wan Du
2023 J jnl
ACM Trans. Sens. Networks
Miaomiao Liu, Kang Yang, Yanjie Fu, Dapeng Oliver Wu, Wan Du
2023 conf
IPSN
Kang Yang, Yuning Chen, Xuanren Chen, Wan Du
2022 Misc conf
SenSys
Kang Yang, Wan Du
2021 B conf
DCOSS
Kang Yang, Xi Zhao, Jianhua Zou, Wan Du
2019 Misc conf
SenSys
Zhihao Shen, Kang Yang, Wan Du, Xi Zhao, Jianhua Zou
redb/extractors/decompiler/bninja/analysis/scores.py
← Index redb/extractors/decompiler/bninja/analysis/scores.py python
from collections import deque
from binaryninja import highlevelil
from binaryninja.enums import HighLevelILOperation


class ObfuscationScores:
    def __init__(self, hlil_function):
        self.function = hlil_function
        self._basic_blocks = list(hlil_function.basic_blocks) if hlil_function and hlil_function.basic_blocks else []
        self._block_count = len(self._basic_blocks)

    def flattened_score(self):
        """
        A heuristic for detecting control flow flattening from Tim Blazytko.
        Source: https://www.synthesis.to/2021/03/03/flattening_detection.html
        """
        if self._block_count == 0:
            return 0.0

        max_flattening_ratio = 0.0

        for basic_block in self._basic_blocks:
            dominated = get_dominated_by(basic_block)
            if not any(edge.source in dominated for edge in basic_block.incoming_edges):
                continue
            ratio = len(dominated) / self._block_count
            if ratio > max_flattening_ratio:
                max_flattening_ratio = ratio

        return max_flattening_ratio

    def MBA_score(self):
        """
        Score for MBA is obtained by the number of instructions that have at least one arithmetic operation and
        one logic operation DIVIDED by the number of instructions.
        """
        total = 0
        mba_count = 0

        for ins in self.function.instructions:
            total += 1
            if uses_mba(ins):
                mba_count += 1

        if total == 0:
            return 0.0

        return mba_count / total

def get_dominated_by(dominator):
    """
    Get the dominators that are dominated by the given dominator.
    (To recall the theory, a basic block B is called dominator for A if every path from START
    to A must include B)
    """
    result = set()
    worklist = deque([dominator])

    while worklist:
        block = worklist.popleft()
        if block in result:
            continue
        result.add(block)
        worklist.extend(block.dominator_tree_children)

    return result

_ARITHMETIC_OPS = frozenset({
    HighLevelILOperation.HLIL_ADD,
    HighLevelILOperation.HLIL_NEG,
    HighLevelILOperation.HLIL_SUB,
    HighLevelILOperation.HLIL_MUL,
    HighLevelILOperation.HLIL_DIVS,
    HighLevelILOperation.HLIL_MODS,
})

_LOGIC_OPS = frozenset({
    HighLevelILOperation.HLIL_NOT,
    HighLevelILOperation.HLIL_AND,
    HighLevelILOperation.HLIL_OR,
    HighLevelILOperation.HLIL_XOR,
    HighLevelILOperation.HLIL_LSR,
    HighLevelILOperation.HLIL_LSL,
})

_MBA_OPS = _ARITHMETIC_OPS | _LOGIC_OPS

def uses_mba(hlil_instruction):
    uses_logic = False
    uses_arithmetic = False
    stack = [hlil_instruction]

    while stack:
        instruction = stack.pop()

        if not isinstance(instruction, highlevelil.HighLevelILInstruction):
            continue

        op = instruction.operation

        if op not in _MBA_OPS:
            for operand in instruction.operands:
                if isinstance(operand, highlevelil.HighLevelILInstruction):
                    stack.append(operand)
            continue

        if op in _ARITHMETIC_OPS:
            uses_arithmetic = True
        else:
            uses_logic = True

        if uses_logic and uses_arithmetic:
            return True

        for operand in instruction.operands:
            if isinstance(operand, highlevelil.HighLevelILInstruction):
                stack.append(operand)

    return False