Xianjun Han

23 papers A 1Journal 22
YearRankTypeTitle / Venue / Authors
2026 J jnl
Comput. Biol. Medicine
Can Bai, Zijian Wu, Xianjun Han, Sheng Zhou
2025 J jnl
Comput. Graph.
Can Bai, Xianjun Han
2025 J jnl
J. Vis. Commun. Image Represent.
Xianjun Han, Huayong Sheng, Can Bai
2025 J jnl
Comput. Vis. Image Underst.
Can Bai, Jie Wang, Xianjun Han, Zijian Wu
2025 J jnl
Briefings Bioinform.
Xianjun Han, Zhenglong Zhang, Can Bai, Zijian Wu
2025 J jnl
KSII Trans. Internet Inf. Syst.
Xibin Jia, Chuanxu Yang, Yifan Yang, Chen Qian, Luo Wang, Zhenghan Yang, Hui Xu, Xianjun Han, Hao Ren, Xinru Wu, Boyang Ma, Dawei Yang
2025 J jnl
Comput. Methods Programs Biomed.
Can Bai, Xianjun Han, Siqi Li, Yue Zhang
2025 J jnl
J. Chem. Inf. Model.
Xianjun Han, Junxiang Cai, Can Bai, Zijian Wu
2024 J jnl
Comput. Graph. Forum
Xianjun Han, Taoli Bao, Hongyu Yang
2024 J jnl
Image Vis. Comput.
Xianjun Han, Tiantian Li, Can Bai, Hongyu Yang
2024 J jnl
Image Vis. Comput.
Can Bai, Xianjun Han
2023 J jnl
IEEE J. Biomed. Health Informatics
Yonglin Chen, Huabin Wang, Gong Zhang, Xiao Liu, Wei Huang, Xianjun Han, Xuejun Li, Melanie Martin, Liang Tao
2023 J jnl
Comput. Graph.
Xianjun Han, Zhaoyang Xie, Qianqian Chen, Xuejun Li, Hongyu Yang
2023 A conf
ICME
Jingwei Wang, Peng Zhou, Xianjun Han, Yanming Chen
2023 J jnl
CoRR
Xianjun Han, Qianqian Chen, Zhaoyang Xie, Xuejun Li, Hongyu Yang
2023 J jnl
Comput. Graph.
Xianjun Han, Qianqian Chen, Zhaoyang Xie, Xuejun Li, Hongyu Yang
2022 J jnl
BMC Medical Imaging
Xianjun Han, Nan Luo, Lixue Xu, Jiaxin Cao, Ning Guo, Yi He, Min Hong, Xibin Jia, Zhenchang Wang, Zhenghan Yang
2022 J jnl
KSII Trans. Internet Inf. Syst.
Xibin Jia, Chen Qian, Zhenghan Yang, Hui Xu, Xianjun Han, Hao Ren, Xinru Wu, Boyang Ma, Dawei Yang, Hong Min
2022 J jnl
IEEE Trans. Netw. Sci. Eng.
Xianjun Han, Huabin Wang, Xuejun Li, Hongyu Yang
2022 J jnl
Comput. Graph. Forum
Xianjun Han, Xue Wang, Huabin Wang, Xuejun Li, Hongyu Yang
2021 J jnl
Comput. Graph.
Xianjun Han, Huabin Wang, Hongyu Yang, Xuejun Li
2020 J jnl
IEEE Trans. Multim.
Xianjun Han, Hongyu Yang, Guanyu Xing, Yanli Liu
2020 J jnl
Neurocomputing
Xianjun Han, Yanli Liu, Hongyu Yang, Guanyu Xing, Yanci 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