Mahesh Nagarajan

32 papers Misc 1Journal 28Unranked 3
YearRankTypeTitle / Venue / Authors
2022 J jnl
Manuf. Serv. Oper. Manag.
Lifei Sheng, Christopher Thomas Ryan, Mahesh Nagarajan, Yuan Cheng, Chunyang Tong
2022 J jnl
Oper. Res.
Saurabh Bansal, Mahesh Nagarajan
2021 J jnl
Oper. Res.
Yichuan Ding, S. Thomas McCormick, Mahesh Nagarajan
2021 J jnl
Manuf. Serv. Oper. Manag.
Stephanie Carew, Mahesh Nagarajan, Steven M. Shechter, Jugpal Arneja, Erik Skarsgard
2021 J jnl
INFORMS Trans. Educ.
Milind Dawande, Woonghee Tim Huh, Ganesh Janakiraman, Mahesh Nagarajan, Yang Bo
2021 J jnl
INFORMS Trans. Educ.
Milind Dawande, Woonghee Tim Huh, Ganesh Janakiraman, Mahesh Nagarajan, Yang Bo
2021 J jnl
INFORMS J. Appl. Anal.
Saurabh Bansal, Genaro J. Gutierrez, Mahesh Nagarajan
2019 J jnl
Manuf. Serv. Oper. Manag.
Yang Bo, Milind Dawande, Woonghee Tim Huh, Ganesh Janakiraman, Mahesh Nagarajan
2019 J jnl
Oper. Res.
Mahesh Nagarajan, Greys Sosic, Chunyang Tong
2019 J jnl
Manuf. Serv. Oper. Manag.
Yichuan Ding, Eric Park, Mahesh Nagarajan, Eric Grafstein
2018 J jnl
Manuf. Serv. Oper. Manag.
Ganesh Janakiraman, Mahesh Nagarajan, Senthil K. Veeraraghavan
2017 J jnl
Oper. Res. Lett.
Lifei Sheng, Daniel Granot, Woonghee Tim Huh, Mahesh Nagarajan
2017 J jnl
Oper. Res.
Saurabh Bansal, Mahesh Nagarajan
2016 J jnl
Manuf. Serv. Oper. Manag.
Woonghee Tim Huh, Ganesh Janakiraman, Mahesh Nagarajan
2014 conf
EMBC
Christoph Schmidt, Britta Pester, Mahesh Nagarajan, Herbert Witte, Lutz Leistritz, Axel Wismüller
2014 J jnl
Manag. Sci.
Mahesh Nagarajan, Steven M. Shechter
2014 J jnl
Oper. Res. Lett.
Xin Geng, Woonghee Tim Huh, Mahesh Nagarajan
2012 J jnl
Found. Trends Technol. Inf. Oper. Manag.
Fernando Bernstein, Mahesh Nagarajan
2011 J jnl
Oper. Res.
Woonghee Tim Huh, Ganesh Janakiraman, Mahesh Nagarajan
2010 conf
Computer-Aided Diagnosis
Markus B. Huber, Mahesh Nagarajan, Gerda L. Leinsinger, Lawrence A. Ray, Axel Wismüller
2010 J jnl
Oper. Res.
Hao Zhang, Mahesh Nagarajan, Greys Sosic
2010 conf
BQGT
Hao Zhang, Mahesh Nagarajan, Greys Sosic
2010 J jnl
Oper. Res.
Woonghee Tim Huh, Ganesh Janakiraman, Mahesh Nagarajan
2010 J jnl
Oper. Res.
Woonghee Tim Huh, Mahesh Nagarajan
2009 J jnl
Oper. Res.
Mahesh Nagarajan, Greys Sosic
2009 J jnl
Oper. Res.
Mahesh Nagarajan, Sampath Rajagopalan
2008 J jnl
Math. Oper. Res.
Retsef Levi, Ganesh Janakiraman, Mahesh Nagarajan
2008 J jnl
Manag. Sci.
Mahesh Nagarajan, Yehuda Bassok
2008 J jnl
Eur. J. Oper. Res.
Mahesh Nagarajan, Greys Sosic
2008 J jnl
Manag. Sci.
Mahesh Nagarajan, Sampath Rajagopalan
2008 Misc conf
WSC
Woonghee Tim Huh, Mahesh Nagarajan
2007 J jnl
Manag. Sci.
Mahesh Nagarajan, Greys Sosic
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