Oleg Ieremeiev

21 papers B 1Misc 1Journal 6Unranked 13
YearRankTypeTitle / Venue / Authors
2025 J jnl
IEEE Access
Oleg Ieremeiev, Vladimir Lukin, Andres Ramirez-Jaime, Gonzalo R. Arce, Mateusz Kopytek, Piotr Lech, Krzysztof Okarma
2024 J jnl
Remote. Sens.
Fangfang Li, Oleg Ieremeiev, Vladimir Lukin, Karen O. Egiazarian
2023 conf
CMIS
Oleg Ieremeiev, Vladimir V. Lukin, Krzysztof Okarma, Karen O. Egiazarian
2022 conf
Image Processing: Algorithms and Systems
Oleg Ieremeiev, Vladimir V. Lukin, Krzysztof Okarma, Karen O. Egiazarian, Benoît Vozel
2022 J jnl
Remote. Sens.
Fangfang Li, Vladimir V. Lukin, Oleg Ieremeiev, Krzysztof Okarma
2021 conf
EUVIP
Mykola Ponomarenko, Sheyda Ghanbaralizadeh Bahnemiri, Karen O. Egiazarian, Oleg Ieremeiev, Vladimir V. Lukin, Veli-Tapani Peltoketo, Jussi H. Hakala
2020 conf
Image Processing: Algorithms and Systems
Mykola Ponomarenko, Oleg Ieremeiev, Vladimir V. Lukin, Karen O. Egiazarian
2020 J jnl
Remote. Sens.
Oleg Ieremeiev, Vladimir V. Lukin, Krzysztof Okarma, Karen O. Egiazarian
2019 conf
Image Processing: Algorithms and Systems
Oleg Ieremeiev, Vladimir V. Lukin, Nikolay N. Ponomarenko, Karen O. Egiazarian
2018 conf
Image Processing: Algorithms and Systems
Oleg Ieremeiev, Vladimir V. Lukin, Nikolay N. Ponomarenko, Karen O. Egiazarian
2018 Misc conf
ICASSP
Karen O. Egiazarian, Mykola Ponomarenko, Vladimir V. Lukin, Oleg Ieremeiev
2017 conf
Image Processing: Algorithms and Systems
Karen O. Egiazarian, Aram Danielyan, Nikolay N. Ponomarenko, Alessandro Foi, Oleg Ieremeiev, Vladimir V. Lukin
2017 conf
Image Processing: Algorithms and Systems
Oleg Ieremeiev, Vladimir V. Lukin, Nikolay N. Ponomarenko, Karen O. Egiazarian
2017 J jnl
CoRR
Karen O. Egiazarian, Mykola Ponomarenko, Vladimir V. Lukin, Oleg Ieremeiev
2016 conf
Image Processing: Algorithms and Systems
Oleg Ieremeiev, Vladimir V. Lukin, Nikolay N. Ponomarenko, Karen O. Egiazarian, Jaakko Astola
2015 conf
Human Vision and Electronic Imaging
Vladimir V. Lukin, Nikolay N. Ponomarenko, Oleg Ieremeiev, Karen O. Egiazarian, Jaakko Astola
2015 J jnl
Signal Process. Image Commun.
Nikolay N. Ponomarenko, Lina Jin, Oleg Ieremeiev, Vladimir V. Lukin, Karen O. Egiazarian, Jaakko Astola, Benoît Vozel, Kacem Chehdi, Marco Carli, Federica Battisti, C.-C. Jay Kuo
2014 conf
EUVIP
Nikolay N. Ponomarenko, Vladimir V. Lukin, Oleg Ieremeiev, Benoît Vozel, Kacem Chehdi, Karen O. Egiazarian, Jaakko Astola
2013 B conf
ACIVS
Nikolay N. Ponomarenko, Oleg Ieremeiev, Vladimir V. Lukin, Lina Jin, Karen O. Egiazarian, Jaakko Astola, Benoît Vozel, Kacem Chehdi, Marco Carli, Federica Battisti, C.-C. Jay Kuo
2013 conf
EUVIP
Nikolay N. Ponomarenko, Oleg Ieremeiev, Vladimir V. Lukin, Karen O. Egiazarian, Lina Jin, Jaakko Astola, Benoît Vozel, Kacem Chehdi, Marco Carli, Federica Battisti, C.-C. Jay Kuo
2013 conf
Image Processing: Algorithms and Systems
Nikolay N. Ponomarenko, Vladimir V. Lukin, Oleg Ieremeiev, Karen O. Egiazarian, Jaakko T. Astola
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