Nantian Huang

21 papers Journal 20Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Eng. Appl. Artif. Intell.
Nantian Huang, Yaoyao Wang, Bingling Li, Guowei Cai, Liang Zhang
2025 J jnl
Expert Syst. Appl.
Nantian Huang, Shicheng Ren, Jianfei Liu, Guowei Cai, Liang Zhang
2024 J jnl
Appl. Soft Comput.
Lin Lin, Jiang Liu, Nantian Huang, Shilin Li, Yunshan Zhang
2021 J jnl
IEEE Trans. Instrum. Meas.
Nantian Huang, Qingzhu Chen, Guowei Cai, Dianguo Xu, Liang Zhang, Wenguang Zhao
2020 J jnl
IEEE Access
Lin Lin, Jiaruiqi Bao, Jian Zheng, Guilin Huang, Jiping Du, Nantian Huang
2020 J jnl
IEEE Access
Nantian Huang, Wenting Wang, Sining Wang, Jun Wang, Guowei Cai, Liang Zhang
2020 J jnl
Entropy
Jiajin Qi, Xu Gao, Nantian Huang
2019 J jnl
Sensors
Lin Lin, Bin Wang, Jiajin Qi, Lingling Chen, Nantian Huang
2019 J jnl
IEEE Access
Dawei Huang, Hongwei Li, Guowei Cai, Nantian Huang, Na Yu, Zheng Huang
2019 J jnl
Entropy
Lin Lin, Bin Wang, Jiajin Qi, Da Wang, Nantian Huang
2019 J jnl
IEEE Access
Nantian Huang, Yinyin Wu, Guobo Lu, Wenting Wang, Xu Cao
2019 J jnl
IEEE Access
Lin Lin, Da Wang, Shuye Zhao, Lingling Chen, Nantian Huang
2019 J jnl
IEEE Access
Nantian Huang, Yinyin Wu, Guowei Cai, Heyan Zhu, Changyong Yu, Li Jiang, Ye Zhang, Jiansen Zhang, Enkai Xing
2017 J jnl
Sensors
Nantian Huang, Jiajin Qi, Fuqing Li, Dongfeng Yang, Guowei Cai, Guilin Huang, Jian Zheng, Zhenxin Li
2016 J jnl
Entropy
Nantian Huang, Guobo Lu, Guowei Cai, Dianguo Xu, Jiafeng Xu, Fuqing Li, Liying Zhang
2016 J jnl
Sensors
Nantian Huang, Huaijin Chen, Guowei Cai, Lihua Fang, Yuqiang Wang
2016 J jnl
Entropy
Nantian Huang, Huaijin Chen, Shuxin Zhang, Guowei Cai, Weiguo Li, Dianguo Xu, Lihua Fang
2016 J jnl
Entropy
Nantian Huang, Lihua Fang, Guowei Cai, Dianguo Xu, Huaijin Chen, Yonghui Nie
2016 J jnl
Entropy
Nantian Huang, Zhiqiang Hu, Guowei Cai, Dongfeng Yang
2012 J jnl
Neurocomputing
Nantian Huang, Dianguo Xu, Xiaosheng Liu, Lin Lin
2009 conf
ICNC (2)
Nantian Huang, Lin Lin
tests/unit/test_decompile_scores.py
← Index tests/unit/test_decompile_scores.py python
"""Unit tests for bninja/analysis/scores.py — ObfuscationScores."""
import sys
import pytest
from unittest.mock import MagicMock

# Install binaryninja stubs before importing
from tests.unit.conftest_binja_stubs import (
    install_binja_stubs,
    HighLevelILOperation,
)
bn_mock = install_binja_stubs()

from redb.extractors.decompiler.bninja.analysis.scores import (
    ObfuscationScores,
    get_dominated_by,
    uses_mba,
)
import binaryninja.highlevelil as hlil_mod


# ============================================================================
# Helper: Mock HLIL instruction
# ============================================================================

class MockHLILInstruction(hlil_mod.HighLevelILInstruction):
    """Mock HLIL instruction with operation and operands."""
    def __init__(self, operation, operands=None):
        self.operation = operation
        self.operands = operands or []


class MockHLILBasicBlock:
    """Mock HLIL basic block for flattened score testing."""
    def __init__(self, incoming_edges=None, dominator_tree_children=None):
        self.incoming_edges = incoming_edges or []
        self.dominator_tree_children = dominator_tree_children or []


# ============================================================================
# 5a. ObfuscationScores
# ============================================================================


class TestFlattenedScore:
    def test_flattened_score_no_back_edges(self):
        """Linear CFG with no back edges -> score 0.0."""
        block = MockHLILBasicBlock(incoming_edges=[], dominator_tree_children=[])
        func = MagicMock()
        func.basic_blocks = [block]
        scores = ObfuscationScores(func)
        assert scores.flattened_score() == 0.0

    def test_flattened_score_with_loop(self):
        """CFG with a back edge -> score > 0.0."""
        block = MockHLILBasicBlock(dominator_tree_children=[])
        # Create a back edge: an incoming edge whose source is in the dominated set
        edge = MagicMock()
        edge.source = block  # source IS the dominator -> back edge
        block.incoming_edges = [edge]
        func = MagicMock()
        func.basic_blocks = [block]
        scores = ObfuscationScores(func)
        assert scores.flattened_score() > 0.0

    def test_flattened_score_fully_flat(self):
        """Flattened CFG: one block dominates all -> ratio close to 1.0."""
        children = [MockHLILBasicBlock() for _ in range(4)]
        root = MockHLILBasicBlock(dominator_tree_children=children)
        # Back edge from root incoming
        edge = MagicMock()
        edge.source = root
        root.incoming_edges = [edge]
        all_blocks = [root] + children
        func = MagicMock()
        func.basic_blocks = all_blocks
        scores = ObfuscationScores(func)
        assert scores.flattened_score() == pytest.approx(1.0)


class TestMBAScore:
    def test_mba_score_no_mixed_ops(self):
        """Instructions with only arithmetic -> score 0.0."""
        instr = MockHLILInstruction(HighLevelILOperation.HLIL_ADD, operands=[])
        func = MagicMock()
        func.instructions = [instr]
        scores = ObfuscationScores(func)
        assert scores.MBA_score() == 0.0

    def test_mba_score_mixed_ops(self):
        """Instructions with arithmetic + logic -> score > 0.0."""
        inner_logic = MockHLILInstruction(HighLevelILOperation.HLIL_XOR, operands=[])
        outer_arith = MockHLILInstruction(
            HighLevelILOperation.HLIL_ADD, operands=[inner_logic]
        )
        func = MagicMock()
        func.instructions = [outer_arith]
        scores = ObfuscationScores(func)
        assert scores.MBA_score() > 0.0

    def test_mba_score_all_mixed(self):
        """Every instruction has both -> score 1.0."""
        inner_logic = MockHLILInstruction(HighLevelILOperation.HLIL_NOT, operands=[])
        outer_arith = MockHLILInstruction(
            HighLevelILOperation.HLIL_SUB, operands=[inner_logic]
        )
        func = MagicMock()
        func.instructions = [outer_arith]
        scores = ObfuscationScores(func)
        assert scores.MBA_score() == 1.0


class TestGetDominatedBy:
    def test_get_dominated_by(self):
        child1 = MockHLILBasicBlock(dominator_tree_children=[])
        child2 = MockHLILBasicBlock(dominator_tree_children=[])
        root = MockHLILBasicBlock(dominator_tree_children=[child1, child2])
        result = get_dominated_by(root)
        assert root in result
        assert child1 in result
        assert child2 in result
        assert len(result) == 3


class TestUsesMBA:
    def test_uses_mba_arithmetic_only(self):
        instr = MockHLILInstruction(HighLevelILOperation.HLIL_ADD, operands=[])
        assert uses_mba(instr) is False

    def test_uses_mba_logic_only(self):
        instr = MockHLILInstruction(HighLevelILOperation.HLIL_XOR, operands=[])
        assert uses_mba(instr) is False

    def test_uses_mba_mixed(self):
        inner = MockHLILInstruction(HighLevelILOperation.HLIL_AND, operands=[])
        outer = MockHLILInstruction(HighLevelILOperation.HLIL_ADD, operands=[inner])
        assert uses_mba(outer) is True