Raghavendra V. Kulkarni

21 papers B 2Journal 10Unranked 9
YearRankTypeTitle / Venue / Authors
2022 J jnl
Evol. Intell.
D. R. Sarvamangala, Raghavendra V. Kulkarni
2021 J jnl
Neural Comput. Appl.
Aditya Kompella, Raghavendra V. Kulkarni
2021 J jnl
Neural Process. Lett.
D. R. Sarvamangala, Raghavendra V. Kulkarni
2020 J jnl
Neural Comput. Appl.
Aditya Kompella, Raghavendra V. Kulkarni
2019 J jnl
Wirel. Networks
Vaishali R. Kulkarni, Veena Desai, Raghavendra V. Kulkarni
2018 conf
SSCI
Iroshani Jayawardene, Raghavendra V. Kulkarni, Ganesh Kumar Venayagamoorthy
2018 conf
SSCI
Aditya Kompella, Raghavendra V. Kulkarni
2018 conf
ICCCNT
Aditya Kompella, Raghavendra V. Kulkarni
2017 conf
CICBA (2)
D. R. Sarvamangala, Raghavendra V. Kulkarni
2016 conf
SSCI
Vaishali R. Kulkarni, Veena Desai, Raghavendra V. Kulkarni
2012 conf
ICACCI
Maneesha Vinodini Ramesh, P. L. Divya, Raghavendra V. Kulkarni, Rekha Manoj
2012 conf
HPCC-ICESS
Aswathy B. Raj, Maneesha Vinodini Ramesh, Raghavendra V. Kulkarni, Hemalatha Thirugnanam
2011 J jnl
IEEE Commun. Surv. Tutorials
Raghavendra V. Kulkarni, Anna Förster, Ganesh Kumar Venayagamoorthy
2011 J jnl
IEEE Trans. Syst. Man Cybern. Part C
Raghavendra V. Kulkarni, Ganesh K. Venayagamoorthy
2010 J jnl
Neural Networks
Raghavendra V. Kulkarni, Ganesh K. Venayagamoorthy
2010 J jnl
IEEE Trans. Syst. Man Cybern. Part C
Raghavendra V. Kulkarni, Ganesh K. Venayagamoorthy
2009 B conf
SMC
Raghavendra V. Kulkarni, Ganesh K. Venayagamoorthy, Maggie X. Cheng
2009 conf
MCDM
Raghavendra V. Kulkarni, Ganesh K. Venayagamoorthy, Abhishek Thakur, Sanjay Kumar Madria
2009 J jnl
Neural Networks
Raghavendra V. Kulkarni, Ganesh K. Venayagamoorthy
2009 B conf
IJCNN
Raghavendra V. Kulkarni, Ganesh K. Venayagamoorthy
2008 conf
SIS
Raghavendra V. Kulkarni, Ganesh K. Venayagamoorthy, Ann Miller, Cihan H. Dagli
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