Cemaleddin Simsek

16 papers Journal 8Unranked 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
IEEE Trans. Circuits Syst. Video Technol.
Suo Gao, Herbert Ho-Ching Iu, Ugur Erkan, Cemaleddin Simsek, Abdurrahim Toktas, Yinghong Cao, Rui Wu, Jun Mou, Qi Li, Chunpeng Wang
2025 J jnl
IEEE Access
Bilge Han Tozlu, Ömer Faruk Akmese, Cemaleddin Simsek, Engin Senel
2024 J jnl
IEEE Internet Things J.
Suo Gao, Herbert Ho-Ching Iu, Ugur Erkan, Cemaleddin Simsek, Jun Mou, Abdurrahim Toktas, Rui Wu, Xianglong Tang
2021 J jnl
Biomed. Signal Process. Control.
Bilge Han Tozlu, Cemaleddin Simsek, Onder Aydemir, Yusuf Karavelioglu
2019 J jnl
CoRR
Cenk Albayrak, Kadir Türk, Emin Tugcu, Cemaleddin Simsek, Ayhan Yazgan
2018 conf
SIU
Emin Tugcu, Cenk Albayrak, Ayhan Yazgan, Cemaleddin Simsek, Kadir Türk
2018 conf
SIU
Cenk Albayrak, Cemaleddin Simsek, Emin Tugcu, Ayhan Yazgan, Hakan Erdol, Kadir Türk
2018 conf
TSP
Ayhan Yazgan, Cemaleddin Simsek, Cenk Albayrak, Emin Tugcu, Kadir Türk
2018 conf
TSP
Cemaleddin Simsek, Emin Tugcu, Cenk Albayrak, Ayhan Yazgan, Kadir Türk
2017 conf
SIU
Cemaleddin Simsek, Cenk Albayrak, Kadir Türk
2017 conf
TSP
Cemaleddin Simsek, Kadir Türk
2017 J jnl
IEEE Commun. Lett.
Cenk Albayrak, Cemaleddin Simsek, Kadir Türk
2017 conf
SIU
Cenk Albayrak, Cemaleddin Simsek, Kadir Türk
2016 J jnl
CoRR
Cenk Albayrak, Cemaleddin Simsek, Kadir Türk
2016 J jnl
IEEE Commun. Lett.
Cemaleddin Simsek, Kadir Türk
2013 conf
SIU
Cemaleddin Simsek, Ismail Kaya, Cenk Albayrak
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