Xianqiang Bao

25 papers A 2B 1C 2Journal 16Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
IEEE Trans. Instrum. Meas.
Nanliang Shan, Xinghua Xu, Xianqiang Bao, Chengcheng Xu, Fengrui Cui, Wei Xu
2025 J jnl
Signal Process. Image Commun.
Siyi Ren, Xianqiang Bao, Tianjiang Wang, Xinghua Xu, Tao Ma, Kun Yu
2024 J jnl
Int. J. Intell. Syst.
Nanliang Shan, Xinghua Xu, Xianqiang Bao, Fei Cheng, Tao Liao, Shaohua Qiu
2023 J jnl
IEEE Trans. Instrum. Meas.
Xianqiang Bao, Shuangyi Wang, Lingling Zheng, Richard James Housden, Joseph V. Hajnal, Kawal S. Rhode
2023 J jnl
Sensors
Shaohua Qiu, Xiaopeng Cui, Zuowei Ping, Nanliang Shan, Zhong Li, Xianqiang Bao, Xinghua Xu
2023 J jnl
IEEE Trans. Intell. Transp. Syst.
Nanliang Shan, Xinghua Xu, Xianqiang Bao, Chengcheng Xu, Guangyu Zhu, Edmond Qi Wu
2023 J jnl
IEEE Trans. Ind. Electron.
Xianqiang Bao, Shuangyi Wang, Lingling Zheng, Richard James Housden, Joseph V. Hajnal, Kawal S. Rhode
2023 J jnl
Pattern Recognit.
Xia Hua, Xiaopeng Cui, Xinghua Xu, Shaohua Qiu, Yingjie Liang, Xianqiang Bao, Zhong Li
2022 J jnl
Remote. Sens.
Kun Yu, Chengcheng Xu, Jie Ma, Bin Fang, Junfeng Ding, Xinghua Xu, Xianqiang Bao, Shaohua Qiu
2022 J jnl
Sensors
Nanliang Shan, Xinghua Xu, Xianqiang Bao, Shaohua Qiu
2022 J jnl
IEEE Trans. Robotics
Xianqiang Bao, Shuxiang Guo, Yangming Guo, Cheng Yang, Liwei Shi, Youxiang Li, Yuhua Jiang
2022 J jnl
Sensors
Chengcheng Xu, Kun Yu, Xinghua Xu, Xianqiang Bao, Songbing Wu, Baokang Zhao
2021 J jnl
IEEE Robotics Autom. Lett.
Xianqiang Bao, Shuangyi Wang, Richard James Housden, Joseph V. Hajnal, Kawal S. Rhode
2021 J jnl
IEEE Robotics Autom. Lett.
James Housden, Shuangyi Wang, Xianqiang Bao, Jia Zheng, Emily Skelton, Jacqueline Matthew, Yohan Noh, Olla Eltiraifi, Anisha Singh, Davinder Singh, Kawal S. Rhode
2019 J jnl
Medical Biol. Eng. Comput.
Cheng Yang, Shuxiang Guo, Xianqiang Bao, Nan Xiao, Liwei Shi, Youxiang Li, Yuhua Jiang
2018 conf
ROBIO
Shuxiang Guo, Cheng Yang, Xianqiang Bao, Nan Xiao, Rui Shen
2016 J jnl
IEICE Trans. Inf. Syst.
Xianqiang Bao, Nong Xiao, Yutong Lu, Zhiguang Chen
2016 conf
BigData Congress
Wenqi Cao, Semih Sahin, Ling Liu, Xianqiang Bao
2016 A conf
ICWS
Xianqiang Bao, Ling Liu, Nong Xiao, Yutong Lu, Wenqi Cao
2015 conf
NAS
Enqiang Zhou, Yutong Lu, Nong Xiao, Yang Ou, Zhiguang Chen, Xianqiang Bao
2015 A conf
ICWS
Yang Zhou, Ling Liu, Calton Pu, Xianqiang Bao, Kisung Lee, Balaji Palanisamy, Emre Yigitoglu, Qi Zhang
2015 B conf
CLOUD
Xianqiang Bao, Ling Liu, Nong Xiao, Yang Zhou, Qi Zhang
2014 C conf
CollaborateCom
Xianqiang Bao, Ling Liu, Nong Xiao, Fang Liu, Qi Zhang, Tao Zhu
2012 C conf
NPC
Huajian Mao, Hang Zhang, Xianqiang Bao, Nong Xiao, Weisong Shi, Yutong Lu
2011 conf
ChinaGrid
Xianqiang Bao, Nong Xiao, Weisong Shi, Fang Liu, Huajian Mao, Hang Zhang
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