Okba Kraa

11 papers Journal 7Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Comput. Electr. Eng.
Ardjouna Chebabhi, Ilyes Tegani, Abdelouahab Djoubair Benhamadouche, Okba Kraa
2024 J jnl
Comput.
Mohamed Kamel Benbraika, Okba Kraa, Yassine Himeur, Khaled Telli, Shadi Atalla, Wathiq Mansoor
2024 J jnl
Comput.
Mohamed Kamel Benbraika, Okba Kraa, Yassine Himeur, Khaled Telli, Shadi Atalla, Wathiq Mansoor
2024 conf
PAIS
Mohamed Kamel Benbraika, Samir Bourekkache, Okba Kraa, Yassine Himeur, Khaled Telli, Abdelmalik Ouamane
2023 J jnl
CoRR
Khaled Telli, Okba Kraa, Yassine Himeur, Abdelmalik Ouamane, Mohamed Boumehraz, Shadi Atalla, Wathiq Mansoor
2023 J jnl
Syst.
Khaled Telli, Okba Kraa, Yassine Himeur, Abdelmalik Ouamane, Mohamed Boumehraz, Shadi Atalla, Wathiq Mansoor
2023 conf
ICSPIS
Khaled Telli, Okba Kraa, Yassine Himeur, Mohamed Boumehraz, Shadi Atalla, Wathiq Mansoor, Abdelmalik Ouamane
2023 J jnl
CoRR
Khaled Telli, Okba Kraa, Yassine Himeur, Mohamed Boumehraz, Shadi Atalla, Wathiq Mansoor, Abdelmalik Ouamane
2022 conf
SSD
Zabia Djallal Eddine, Okba Kraa, Hamza Afghoul
2020 J jnl
Math. Comput. Simul.
Ramzi Saadi, M. Y. Hammoudi, Okba Kraa, Mohamed Yacine Ayad, Mebarek Bahri
2015 conf
ICSC
Messaoud Mohammedi, Mohamed Becherif, Abdennacer Aboubou, Okba Kraa, Mohamed Yacine Ayad, Mebarek Bahri
redb/extractors/decompiler/bninja/similarity/minhashcustom.py
← Index redb/extractors/decompiler/bninja/similarity/minhashcustom.py python
import numpy as np
import mmh3

class MinHashCustom:
    """
    DTO for an actual MinHash
    <minhash>: a binary sequence of packed int8/32 values
    <minhash_int>: the equivalent representation of <minhash> but as list of int8/32
    """

    _HASH_MAX = 0xFFFFFFFF
    _MINHASH_BITS = 32

    def getSignatureEntrySize(self):
        return 1 if self.MINHASH_BITS <= 8 else 4

    def __init__(self, function_addr=None, minhash_bytes=None, minhash_signature=None, minhash_bits=32):
        self.minhash = b""
        self.minhash_int = []
        if minhash_bits:
            self._MINHASH_BITS = minhash_bits
        if minhash_bytes and minhash_signature:
            raise ValueError("Can use only one keyword argument")
        if minhash_bytes:
            if self._MINHASH_BITS <= 8:
                minhash_signature = np.frombuffer(minhash_bytes, dtype=np.uint8)
            else:
                minhash_signature = np.frombuffer(minhash_bytes, dtype=np.uint32)
            self.setMinHash(minhash_signature)
        elif minhash_signature:
            self.setMinHash(minhash_signature)

        self.shingler_composition = {}
        self.function_addr = function_addr

    def hasMinHash(self):
        return len(self.minhash) > 0

    def getMinHash(self):
        return self.minhash

    def getMinHashInt(self):
        return self.minhash_int

    def setMinHash(self, minhash_signature):
        self.minhash_int = [i % 2 ** self._MINHASH_BITS for i in minhash_signature]
        if self._MINHASH_BITS <= 8:
            self.minhash = np.array(self.minhash_int, dtype=np.uint8).tobytes()
        else:
            self.minhash = np.array(self.minhash_int, dtype=np.uint32).tobytes()

    def getComposition(self):
        return self.shingler_composition

    def scoreAgainst(self, other):
        return self.calculateMinHashScore(self.minhash, other.minhash, minhash_bits=self._MINHASH_BITS)

    @staticmethod
    def getHashMax():
        return MinHashCustom._HASH_MAX

    @staticmethod
    def hashData(data, seed) -> int:
        if isinstance(data, (str, bytes, bytearray)):
            return mmh3.hash(data, seed) & MinHashCustom._HASH_MAX
        elif isinstance(data, (list, tuple)):
            to_hash = "|".join(str(elem) for elem in data)
            return mmh3.hash(to_hash, seed) & MinHashCustom._HASH_MAX
        else:
            raise NotImplementedError(
                f"Type not supported for hashData: {type(data).__name__}"
            )

    @staticmethod
    def calculateMinHashScore(first, second, minhash_bits=32):
        if minhash_bits <= 8:
            first_np = np.frombuffer(first, dtype=np.uint8)
            second_np = np.frombuffer(second, dtype=np.uint8)
        else:
            first_np = np.frombuffer(first, dtype=np.uint32)
            second_np = np.frombuffer(second, dtype=np.uint32)
        return 100.0 * sum(first_np == second_np) / len(first_np)

    @staticmethod
    def calculateMinHashIntScore(first, second):
        score = 0
        num_hashes = len(first)
        if num_hashes:
            for index, part in enumerate(first):
                score += 1 if part == second[index] else 0
            return 100.0 * score / num_hashes
        return 0.0

    @property
    def MINHASH_BITS(self):
        return self._MINHASH_BITS