Naoki Kamikawa

23 papers B 1C 2Misc 3Journal 9Unranked 7
YearRankTypeTitle / Venue / Authors
2025 ch.
Advances in Cellular Automata - Volume 1: Theory (1)
Hiroshi Umeo, Naoki Kamikawa, Gen Fujita
2024 conf
ACRI
Hiroshi Umeo, Naoki Kamikawa, Gen Fujita
2021 J jnl
Acta Informatica
Hiroshi Umeo, Naoki Kamikawa, Gen Fujita
2020 J jnl
Int. J. Netw. Comput.
Naoki Kamikawa, Hiroshi Umeo
2020 J jnl
Artif. Life Robotics
Naoki Kamikawa, Hiroshi Umeo
2019 conf
CANDAR Workshops
Naoki Kamikawa, Hiroshi Umeo
2019 J jnl
Nat. Comput.
Hiroshi Umeo, Naoki Kamikawa, Masashi Maeda, Gen Fujita
2019 J jnl
Int. J. Netw. Comput.
Naoki Kamikawa, Hiroshi Umeo
2018 conf
CANDAR Workshops
Naoki Kamikawa, Hiroshi Umeo
2018 conf
ACRI
Hiroshi Umeo, Naoki Kamikawa, Masashi Maeda, Gen Fujita
2018 C conf
ICTAC
Hiroshi Umeo, Naoki Kamikawa, Gen Fujita
2017 B conf
PaCT
Hiroshi Umeo, Naoki Kamikawa
2016 J jnl
Artif. Life Robotics
Naoki Kamikawa, Hiroshi Umeo
2009 J jnl
Parallel Process. Lett.
Hiroshi Umeo, Naoki Kamikawa, Jean-Baptiste Yunès
2009 conf
IWNC
Hiroshi Umeo, Kaori Ishida, Koutarou Tachibana, Naoki Kamikawa
2008 Misc conf
PDPTA
Naoki Kamikawa, Hiroshi Umeo
2008 conf
Automata
Hiroshi Umeo, Naoki Kamikawa, Jean-Baptiste Yunès
2008 conf
ACRI
Hiroshi Umeo, Jean-Baptiste Yunès, Naoki Kamikawa
2003 Misc conf
International Conference on Computational Science
Hiroshi Umeo, Koshi Michisaka, Naoki Kamikawa
2003 Misc conf
HPSC
Hiroshi Umeo, Koshi Michisaka, Naoki Kamikawa, Yuichi Kinugasa
2003 J jnl
Fundam. Informaticae
Hiroshi Umeo, Naoki Kamikawa
2002 J jnl
Fundam. Informaticae
Hiroshi Umeo, Naoki Kamikawa
2002 C conf
Developments in Language Theory
Hiroshi Umeo, Naoki Kamikawa
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