Manas Khatua

45 papers B 1C 1Misc 9Journal 30Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Ad Hoc Networks
Karnish N. A. Tapadar, Manas Khatua, Tamarapalli Venkatesh
2026 Misc conf
COMSNETS
Manas Khatua, Pradoom Sanjay Varma, Nihal Shaikh, Sreeparna Das
2026 Misc conf
COMSNETS
Sreeparna Das, Manas Khatua
2025 Misc conf
COMSNETS
Soumya Nandan Mishra, Manas Khatua
2025 Misc conf
COMSNETS
Soumya Nandan Mishra, Manas Khatua
2025 J jnl
Ad Hoc Networks
Soumya Nandan Mishra, Manas Khatua
2025 J jnl
Ad Hoc Networks
Karnish N. A. Tapadar, Manas Khatua, Tamarapalli Venkatesh
2024 conf
ANTS
Surja Sanyal, Manas Khatua, Pratik Chattopadhyay
2024 J jnl
IEEE Trans. Mob. Comput.
Soumya Nandan Mishra, Manas Khatua
2024 Misc conf
COMSNETS
Karnish N. A. Tapadar, Manas Khatua, Venkatesh Tamarapalli
2024 conf
ANTS
Manas Khatua, Sreeparna Das, Pratik Manoj Rana
2024 J jnl
IEEE Trans. Mob. Comput.
Soumya Nandan Mishra, Manas Khatua
2024 J jnl
IEEE Trans. Mob. Comput.
Alakesh Kalita, Manas Khatua
2024 J jnl
Ad Hoc Networks
Karnish N. A. Tapadar, Manas Khatua, Venkatesh Tamarapalli
2023 J jnl
IEEE Internet Things J.
Alakesh Kalita, Mohan Gurusamy, Manas Khatua
2022 J jnl
ACM Trans. Internet Things
Alakesh Kalita, Manas Khatua
2022 J jnl
IEEE Internet Things J.
Alakesh Kalita, Manas Khatua
2022 conf
WF-IoT
Soumya Nandan Mishra, Manas Khatua
2022 J jnl
IEEE Commun. Lett.
Alakesh Kalita, Alessandro Brighente, Manas Khatua, Mauro Conti
2022 Misc conf
ICDCN
Karnish N. A. Tapadar, Manas Khatua, Venkatesh Tamarapalli
2021 J jnl
IEEE Internet Things J.
Alakesh Kalita, Manas Khatua
2021 J jnl
IEEE Internet Things J.
Alakesh Kalita, Manas Khatua
2021 J jnl
IEEE Trans. Mob. Comput.
Alakesh Kalita, Manas Khatua
2020 J jnl
J. Netw. Comput. Appl.
Dipanwita Thakur, Manas Khatua
2020 Misc conf
ICDCN
Alakesh Kalita, Manas Khatua
2020 J jnl
ACM Trans. Internet Things
Alakesh Kalita, Manas Khatua
2019 J jnl
IEEE Trans. Cloud Comput.
Snigdha Das, Manas Khatua, Sudip Misra
2019 Misc conf
COMSNETS
Alakesh Kalita, Manas Khatua
2019 J jnl
IEEE Trans. Cloud Comput.
Snigdha Das, Manas Khatua, Sudip Misra, Mohammad S. Obaidat
2018 J jnl
IEEE Trans. Signal Inf. Process. over Networks
Manas Khatua, Seyed Hamid Safavi, Ngai-Man Cheung
2017 B conf
GLOBECOM
Manas Khatua, Seyed Hamid Safavi, Ngai-Man Cheung
2017 J jnl
IEEE Trans. Veh. Technol.
Sudip Misra, Manas Khatua
2016 J jnl
IEEE Trans. Mob. Comput.
Manas Khatua, Sudip Misra
2016 J jnl
J. Netw. Comput. Appl.
Manas Khatua, Sudip Misra
2016 J jnl
IEEE Trans. Cybern.
Sudip Misra, Sukhchain Singh, Manas Khatua
2015 J jnl
Int. J. Commun. Syst.
Sudip Misra, Sukhchain Singh, Manas Khatua, Mohammad S. Obaidat
2015 J jnl
IEEE Trans. Mob. Comput.
Sudip Misra, Manas Khatua
2015 J jnl
IET Wirel. Sens. Syst.
Sudip Misra, S. Mishra, Manas Khatua
2014 J jnl
Pervasive Mob. Comput.
Manas Khatua, Sudip Misra
2014 J jnl
IEEE Trans. Cloud Comput.
Sudip Misra, Snigdha Das, Manas Khatua, Mohammad S. Obaidat
2013 Misc conf
ICDCN
Manas Khatua, Sudip Misra
2013 C conf
Healthcom
Snigdha Das, Sudip Misra, Manas Khatua, Joel J. P. C. Rodrigues
2013 conf
GreenCom/iThings/CPScom
Sudip Misra, Ayan Mondal, Shukla Banik, Manas Khatua, Samaresh Bera, Mohammad S. Obaidat
2013 J jnl
IET Wirel. Sens. Syst.
Tamoghna Ojha, Manas Khatua, Sudip Misra
2012 J jnl
IET Commun.
Sudip Misra, Suraj Dash, Manas Khatua, Athanasios V. Vasilakos, Mohammad S. Obaidat
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