Wei Wang

25 papers B 3C 1Journal 16Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
IEEE Trans. Wirel. Commun.
Wei Wang, Chao Dong, Nan Zhao, Qihui Wu, Dusit Niyato
2025 J jnl
IEEE Trans. Wirel. Commun.
Ke Cui, Wei Wang, Chao Dong, Nan Zhao, Qihui Wu, Dusit Niyato
2025 J jnl
IEEE Internet Things J.
Chao Dong, Ying Wang, Wei Wang, Xiaojun Zhu, Min Zhang, Qihui Wu
2024 J jnl
IEEE Trans. Veh. Technol.
Jifa Zhang, Wei Wang, Jie Tang, Nan Zhao, Yunfei Chen, Xianbin Wang
2024 J jnl
IEEE Trans. Commun.
Wei Wang, Lingjie Duan, Xin Liu, Nan Zhao
2024 J jnl
IEEE Wirel. Commun. Lett.
Wei Wang, Lingjie Duan, Xin Liu, Nan Zhao
2024 J jnl
IEEE Trans. Wirel. Commun.
Jifa Zhang, Wei Wang, Yuan Gao, Weidang Lu, Nan Zhao, Dusit Niyato
2024 J jnl
IEEE Trans. Wirel. Commun.
Jifa Zhang, Wei Wang, Jie Tang, Nan Zhao, Kai-Kit Wong, Xianbin Wang
2024 B conf
WCNC
Jifa Zhang, Wei Wang, Yuan Gao, Weidang Lu, Nan Zhao, Dusit Niyato
2024 J jnl
IEEE Trans. Commun.
Ruoming Sun, Wei Wang, Lexi Xu, Nan Zhao, Naofal Al-Dhahir, Xianbin Wang
2023 conf
ICC
Wei Wang, Lingjie Duan, Xin Liu, Nan Zhao
2023 conf
ICC
Jifa Zhang, Wei Wang, Jie Tang, Nan Zhao, Kai-Kit Wong, Xianbin Wang
2023 J jnl
IEEE Syst. J.
Yanxin Li, Wei Wang, Mingqian Liu, Nan Zhao, Xu Jiang, Yunfei Chen, Xianbin Wang
2023 J jnl
IEEE Wirel. Commun.
Wei Wang, Yang Cao, Min Sheng, Jie Tang, Nan Zhao, Dusit Niyato, Kai-Kit Wong
2022 J jnl
IEEE Trans. Wirel. Commun.
Wei Wang, Xin Liu, Jie Tang, Nan Zhao, Yunfei Chen, Zhiguo Ding, Xianbin Wang
2022 J jnl
IEEE Trans. Commun.
Qiulei Huang, Wei Wang, Weidang Lu, Nan Zhao, Arumugam Nallanathan, Xianbin Wang
2022 B conf
GLOBECOM
Qiulei Huang, Wei Wang, Weidang Lu, Nan Zhao, Arumugam Nallanathan, Xianbin Wang
2021 C conf
ICCC
Wei Wang, Xin Liu, Jie Tang, Nan Zhao, Yunfei Chen, Zhiguo Ding, Xianbin Wang
2021 B conf
WCNC
Wei Wang, Nan Zhao, Li Chen, Xin Liu, Yunfei Chen, Dusit Niyato
2021 J jnl
IEEE Trans. Commun.
Wei Wang, Nan Zhao, Li Chen, Xin Liu, Yunfei Chen, Dusit Niyato
2021 conf
WCSP
Yanxin Li, Wei Wang, Mingqian Liu, Nan Zhao, Xu Jiang, Yunfei Chen, Xianbin Wang
2020 J jnl
IEEE Trans. Commun.
Wei Wang, Jie Tang, Nan Zhao, Xin Liu, Xiu Yin Zhang, Yunfei Chen, Yi Qian
2019 conf
VTC Spring
Wei Wang, Nan Zhao, Yunfei Chen, Jie Tang, Xiu-Yin Zhang, Zhiguo Ding, Norman C. Beaulieu
2019 J jnl
IEEE Trans. Commun.
Nan Zhao, Wei Wang, Jingjing Wang, Yunfei Chen, Yun Lin, Zhiguo Ding, Norman C. Beaulieu
2019 conf
WCSP
Wei Wang, Jie Tang, Nan Zhao, Xin Liu, Xiu Yin Zhang, Yunfei Chen, Yi Qian
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