Raj Thilak Rajan

50 papers A* 1B 1C 1Misc 5Journal 30Unranked 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
Signal Process.
Anurodh Mishra, Raj Thilak Rajan
2026 J jnl
CoRR
Zhonggang Li, Geert Leus, Raj Thilak Rajan
2025 J jnl
CoRR
Alexander James Becoy, Kseniia Khomenko, Luka Peternel, Raj Thilak Rajan
2025 J jnl
Frontiers Robotics AI
Alexander James Becoy, Kseniia Khomenko, Luka Peternel, Raj Thilak Rajan
2025 conf
ICASSP Workshops
Srikar Chaganti, Francesco Fioranelli, Raj Thilak Rajan
2025 Misc conf
ICASSP
Ellen H. J. Riemens, Raj Thilak Rajan
2025 J jnl
IEEE Trans. Signal Inf. Process. over Networks
Anurodh Mishra, Raj Thilak Rajan
2025 conf
EUSIPCO
Zhonggang Li, Geert Leus, Raj Thilak Rajan
2025 J jnl
CoRR
Zhonggang Li, Geert Leus, Raj Thilak Rajan
2025 conf
EUSIPCO
Sinian Li, Raj Thilak Rajan, Edmund Marth, Patrick Zorn, Wolfgang Gruber, Justin Dauwels
2025 conf
EUSIPCO
Pamela Zontone, Raj Thilak Rajan, Shunqiao Sun, Lucio Marcenaro
2024 J jnl
IEEE Trans. Aerosp. Electron. Syst.
Mostafa Mohammadkarimi, Raj Thilak Rajan
2024 A* conf
ICRA
Junlin Song, Pedro J. Sanchez-Cuevas, Antoine Richard, Raj Thilak Rajan, Miguel A. Olivares-Méndez
2024 J jnl
IEEE Trans. Veh. Technol.
Mostafa Mohammadkarimi, Geert Leus, Raj Thilak Rajan
2024 conf
EUSIPCO
Hanyuan Ban, Ellen H. J. Riemens, Raj Thilak Rajan
2024 J jnl
IEEE Control. Syst. Lett.
Zhonggang Li, Changheng Li, Raj Thilak Rajan
2024 J jnl
CoRR
Zhonggang Li, Changheng Li, Raj Thilak Rajan
2024 J jnl
CoRR
Thomas Manteaux, David Rodríguez-Martínez, Raj Thilak Rajan
2024 J jnl
CoRR
Zhonggang Li, Raj Thilak Rajan
2023 Misc conf
ICASSP
Peiyuan Zhai, Raj Thilak Rajan
2023 C conf
FUSION
Zhonggang Li, Raj Thilak Rajan
2023 J jnl
CoRR
Junlin Song, Pedro J. Sanchez-Cuevas, Antoine Richard, Raj Thilak Rajan, Miguel A. Olivares-Méndez
2023 conf
CAMSAP
Raj Thilak Rajan
2022 J jnl
Comput. Aided Civ. Infrastructure Eng.
Yikai Zeng, Meng Wang, Raj Thilak Rajan
2022 conf
EUSIPCO
Martijn van der Marel, Raj Thilak Rajan
2022 J jnl
CoRR
Mostafa Mohammadkarimi, Geert Leus, Raj Thilak Rajan
2022 J jnl
CoRR
Mosab Diab, Mostafa Mohammadkarimi, Raj Thilak Rajan
2022 J jnl
CoRR
Calum Spring-Turner, Raj Thilak Rajan
2022 conf
EUSIPCO
Anurodh Mishra, Raj Thilak Rajan
2021 J jnl
CoRR
Raj Thilak Rajan, Shoshana Ben-Maor, Shaziana Kaderali, Calum Turner, Mohammed Milhim, Catrina Melograna, Dawn Haken, Gary Paul, Vedant, Sreekumar V, Johannes Weppler, Yosephine Gumulya, Riccardo Bunt, Asia Bulgarini, Maurice Marnat, Kadri Bussov, Frederick Pringle, Jusha Ma, Rushanka Amrutkar, Miguel Coto, Jiang He, Zijian Shi, Shahd Hayder, Dina Saad Fayez Jaber, Junchao Zuo, Mohammad Alsukour, Cecile Renaud, Matthew Christie, Neta Engad, Yu Lian, Jie Wen, Ruth McAvinia, Andrew Simon-Butler, Anh Nguyen, Jacob Cohen
2021 J jnl
CoRR
Martijn van der Marel, Raj Thilak Rajan
2019 Misc conf
ICASSP
Tarik Kazaz, Raj Thilak Rajan, Gerard J. M. Janssen, Alle-Jan van der Veen
2019 J jnl
CoRR
Tarik Kazaz, Raj Thilak Rajan, Gerard J. M. Janssen, Alle-Jan van der Veen
2019 J jnl
Signal Process.
Raj Thilak Rajan, Geert Leus, Alle-Jan van der Veen
2018 J jnl
CoRR
Raj Thilak Rajan, Rob van Schaijk, Anup Das, Jac Romme, Frank J. Pasveer
2018 J jnl
CoRR
Raj Thilak Rajan, Geert Leus, Alle-Jan van der Veen
2018 J jnl
Neural Networks
Anup Das, Paruthi Pradhapan, Willemijn Groenendaal, Prathyusha Adiraju, Raj Thilak Rajan, Francky Catthoor, Siebren Schaafsma, Jeffrey L. Krichmar, Nikil D. Dutt, Chris Van Hoof
2017 J jnl
ISPRS Int. J. Geo Inf.
Xingzhe Xie, Ivana Semanjski, Sidharta Gautama, Evaggelia Tsiligianni, Nikos Deligiannis, Raj Thilak Rajan, Frank J. Pasveer, Wilfried Philips
2017 conf
IEEE SENSORS
Bob Vergauwen, Oscar Mauricio Agudelo, Raj Thilak Rajan, Frank J. Pasveer, Bart De Moor
2017 J jnl
CoRR
Anup Das, Paruthi Pradhapan, Willemijn Groenendaal, Prathyusha Adiraju, Raj Thilak Rajan, Francky Catthoor, Siebren Schaafsma, Jeffrey L. Krichmar, Nikil D. Dutt, Chris Van Hoof
2016 B conf
MASS
Chayan Sarkar, R. Venkatesha Prasad, Raj Thilak Rajan, Koen Langendoen
2015 J jnl
IEEE Trans. Signal Process.
Raj Thilak Rajan, Alle-Jan van der Veen
2015 J jnl
Signal Process.
Raj Thilak Rajan, Geert Leus, Alle-Jan van der Veen
2014 J jnl
CoRR
Hamid Ramezani, Raj Thilak Rajan, Geert Leus
2014 Misc conf
ACSSC
Hamid Ramezani, Raj Thilak Rajan, Milica Stojanovic, Geert Leus
2013 J jnl
IEEE Signal Process. Lett.
Sundeep Prabhakar Chepuri, Raj Thilak Rajan, Geert Leus, Alle-Jan van der Veen
2013 conf
EUSIPCO
Raj Thilak Rajan, Alle-Jan van der Veen
2013 conf
CAMSAP
Raj Thilak Rajan, Geert Leus, Alle-Jan van der Veen
2012 Misc conf
ICASSP
Raj Thilak Rajan, Alle-Jan van der Veen
2011 conf
CAMSAP
Raj Thilak Rajan, Alle-Jan van der Veen
redb/extractors/decompiler/apk/method_extractor.py
← Index redb/extractors/decompiler/apk/method_extractor.py python
"""Per-method content extraction, hashing, and similarity computation.

Handles SHA-256 content hashing, ssdeep/TLSH fuzzy hashing, MinHash
computation, and obfuscation indicator detection for APK methods.
"""

import hashlib
import re
from typing import Dict, List, Optional

from redb.extractors.decompiler.apk.smali_normalization import (
    categorize_opcode,
    normalize_method_body,
)
from redb.extractors.decompiler.apk.smali_parser import SmaliParser


# ---------------------------------------------------------------------------
# Smali Prime Product — semantic primes matching Binary Ninja's LLIL primes
# ---------------------------------------------------------------------------
# Each Dalvik semantic category maps to the same prime its LLIL counterpart
# uses in cfg_features.py. This makes prime products semantically comparable
# for APK-vs-APK similarity (not numerically comparable to Binja values).

SMALI_OP_PRIMES = {
    "ALU": 37,       # ADD/SUB → same prime as LLIL_ADD
    "CONV": 131,     # Type conversions → same as LLIL_SX
    "CMP": 103,      # Comparisons → same as LLIL_CMP_E
    "MOV": 2,        # Register moves → same as LLIL_SET_REG
    "CONST": 2,      # Constants → SET_REG equivalent
    "LOAD": 5,       # Field/array reads → same as LLIL_LOAD
    "STORE": 7,      # Field/array writes → same as LLIL_STORE
    "CALL": 17,      # invoke-* → same as LLIL_CALL
    "BRANCH": 29,    # if-* → same as LLIL_IF
    "JMP": 31,       # goto → same as LLIL_GOTO
    "SWITCH": 151,   # switch → same as LLIL_JUMP_TO
    "RET": 23,       # return → same as LLIL_RET
    "ALLOC": 5,      # new-instance/new-array → LOAD-adjacent (heap access)
    "TYPE": 1,       # check-cast/instance-of → identity (metadata)
    "ARR": 5,        # array-length/fill-array → LOAD-adjacent
    "EXC": 23,       # throw → RET-adjacent (control transfer out)
    "SYNC": 1,       # monitor → identity (no LLIL equivalent)
    "OTHER": 1,      # Unknown → identity
}


def compute_prime_product_smali(smali_body: str) -> int:
    """Multiplicative hash of normalized Dalvik opcodes. Mod 2^64.

    Same algorithm as cfg_features.compute_prime_product but using
    Dalvik semantic categories instead of LLIL operation enums.
    """
    if not smali_body:
        return 0

    product = 1
    for line in smali_body.splitlines():
        stripped = line.strip()
        if not stripped or stripped.startswith((".", ":", "#")):
            continue
        opcode = stripped.split()[0].split("/")[0] if stripped else ""
        category = categorize_opcode(opcode)
        prime = SMALI_OP_PRIMES.get(category, 1)
        product = (product * prime) % (2**64)

    return product


def count_call_instructions(smali_body: str) -> int:
    """Count invoke-* instructions in a smali method body."""
    if not smali_body:
        return 0
    count = 0
    for line in smali_body.splitlines():
        stripped = line.strip()
        if stripped.startswith("invoke-"):
            count += 1
    return count


def compute_sha256(content: str) -> str:
    """Compute SHA-256 hash of normalized content."""
    return hashlib.sha256(content.encode("utf-8")).hexdigest()


def compute_ssdeep(content: str) -> Optional[str]:
    """Compute ssdeep fuzzy hash of content."""
    try:
        import ppdeep
        data = content.encode("utf-8")
        if len(data) < 50:
            return None
        result = ppdeep.hash(data)
        return result if result else None
    except (ImportError, Exception):
        return None


def compute_tlsh(content: str) -> Optional[str]:
    """Compute TLSH fuzzy hash of content."""
    try:
        import tlsh
        data = content.encode("utf-8")
        if len(data) < 50:
            return None
        result = tlsh.hash(data)
        return result if result else None
    except (ImportError, Exception):
        return None


def compute_minhash(
    content: str,
    n: int = 3,
    normalization_level: str = "opcode_api",
) -> Optional[List[int]]:
    """Compute MinHash signature from semantically normalized smali n-grams.

    Applies semantic normalization (analogous to Binary Ninja's LLIL) before
    computing the MinHash. This strips register allocation noise and
    instruction encoding variants while preserving operation semantics and
    API references.

    Uses the same algorithm and parameters as the Binary Ninja MinHasher
    (64 seeds from master seed 0xdeadbeef, 8-bit signature elements, mmh3)
    to ensure cross-platform similarity comparisons are compatible.

    Args:
        content: Raw smali method body.
        n: N-gram size (default 3).
        normalization_level: Normalization level for instructions.
            'opcode_api' (default) preserves API call/field references.
            'category' uses only semantic categories.
            'opcode' uses base opcodes without operands.
    """
    try:
        import mmh3
    except ImportError:
        return None

    HASH_MAX = 0xFFFFFFFF
    SIGNATURE_LENGTH = 64
    SIGNATURE_BITS = 8

    # Semantically normalize instructions (like LLIL for native code)
    lines = normalize_method_body(content, level=normalization_level)

    if len(lines) < n:
        return None

    # Build n-grams (tuples of normalized instruction strings)
    shingles = [tuple(lines[i:i + n]) for i in range(len(lines) - n + 1)]

    if not shingles:
        return None

    # Generate deterministic seeds matching the Binary Ninja pipeline
    import random
    rng = random.Random(0xDEADBEEF)
    seeds = [rng.randint(0, HASH_MAX) for _ in range(SIGNATURE_LENGTH)]

    # For each seed, hash all shingles and take the minimum
    signature = []
    for seed in seeds:
        min_val = HASH_MAX
        for shingle in shingles:
            text = "|".join(str(elem) for elem in shingle)
            h = mmh3.hash(text, seed) & HASH_MAX
            if h < min_val:
                min_val = h
        # Truncate to signature bits
        if SIGNATURE_BITS < 32:
            min_val %= (2 ** SIGNATURE_BITS)
        signature.append(min_val)

    return signature


def detect_obfuscation_indicators(
    method_name: str,
    class_name: str,
    smali_body: str,
    instruction_count: int,
) -> Dict[str, bool]:
    """Compute obfuscation indicators for a method.

    Returns dict with boolean indicators.
    """
    indicators = {}

    # Short method name (typical R8/ProGuard output)
    indicators["short_method_name"] = len(method_name) <= 2

    # Short class name — extract simple name from Dalvik descriptor
    simple_class = class_name
    if "/" in simple_class:
        simple_class = simple_class.rsplit("/", 1)[-1]
    simple_class = simple_class.rstrip(";")
    indicators["short_class_name"] = len(simple_class) <= 2

    # String encryption: const-string followed by decryption-pattern call
    indicators["has_string_encryption"] = _detect_string_encryption(smali_body)

    # Reflection calls
    indicators["has_reflection_calls"] = _detect_reflection_calls(smali_body)

    # Excessive goto count (control flow flattening)
    goto_count = _count_goto_instructions(smali_body)
    threshold = max(5, int(instruction_count * 0.15))
    indicators["excessive_goto_count"] = goto_count > threshold

    return indicators


def _detect_string_encryption(smali_body: str) -> bool:
    """Detect const-string followed by decryption-pattern calls."""
    lines = smali_body.split("\n")
    for i, line in enumerate(lines):
        stripped = line.strip()
        if stripped.startswith("const-string"):
            # Check the next 3 lines for invoke-* to potential decryption
            for j in range(i + 1, min(i + 4, len(lines))):
                next_line = lines[j].strip()
                if next_line.startswith("invoke-"):
                    # Common decryption patterns
                    if any(
                        pat in next_line
                        for pat in [
                            "decrypt",
                            "decode",
                            "Cipher",
                            "DES",
                            "AES",
                            "Base64",
                            "getBytes",
                        ]
                    ):
                        return True
    return False


def _detect_reflection_calls(smali_body: str) -> bool:
    """Detect use of Java reflection APIs."""
    reflection_patterns = [
        "Ljava/lang/reflect/",
        "Ljava/lang/Class;->forName",
        "Ljava/lang/Class;->getMethod",
        "Ljava/lang/Class;->getDeclaredMethod",
        "Ljava/lang/Class;->getField",
        "Ljava/lang/Class;->getDeclaredField",
    ]
    for pattern in reflection_patterns:
        if pattern in smali_body:
            return True
    return False


def _count_goto_instructions(smali_body: str) -> int:
    """Count goto/goto_16/goto_32 instructions."""
    count = 0
    for line in smali_body.split("\n"):
        stripped = line.strip()
        if stripped.startswith(("goto ", "goto/16 ", "goto/32 ")):
            count += 1
        elif stripped in ("goto", "goto/16", "goto/32"):
            count += 1
    return count


def dalvik_to_java_class(descriptor: str) -> str:
    """Convert Dalvik class descriptor to Java dot notation.

    Lcom/example/Foo; -> com.example.Foo
    """
    if descriptor.startswith("L") and descriptor.endswith(";"):
        return descriptor[1:-1].replace("/", ".")
    return descriptor.replace("/", ".")


def dalvik_type_to_java(type_desc: str) -> str:
    """Convert a Dalvik type descriptor to Java type name."""
    type_map = {
        "V": "void",
        "Z": "boolean",
        "B": "byte",
        "S": "short",
        "C": "char",
        "I": "int",
        "J": "long",
        "F": "float",
        "D": "double",
    }

    if not type_desc:
        return "void"

    if type_desc in type_map:
        return type_map[type_desc]

    if type_desc.startswith("["):
        return dalvik_type_to_java(type_desc[1:]) + "[]"

    if type_desc.startswith("L") and type_desc.endswith(";"):
        full = type_desc[1:-1].replace("/", ".")
        # Return simple name
        return full.rsplit(".", 1)[-1] if "." in full else full

    return type_desc


def dalvik_to_java_prototype(
    method_name: str, signature: str, class_name: str = ""
) -> str:
    """Convert Dalvik method signature to Java-style prototype.

    Input: method_name='onCreate', signature='(Landroid/os/Bundle;)V'
    Output: 'void onCreate(Bundle)'
    """
    # Parse return type and param types from signature
    if not signature or not signature.startswith("("):
        return f"void {method_name}()"

    close_paren = signature.find(")")
    if close_paren == -1:
        return f"void {method_name}()"

    params_str = signature[1:close_paren]
    return_type_str = signature[close_paren + 1:]

    return_type = dalvik_type_to_java(return_type_str)
    params = _parse_dalvik_params(params_str)
    param_java = ", ".join(dalvik_type_to_java(p) for p in params)

    return f"{return_type} {method_name}({param_java})"


def _parse_dalvik_params(params_str: str) -> List[str]:
    """Parse Dalvik parameter descriptor string into individual types."""
    params = []
    i = 0
    while i < len(params_str):
        ch = params_str[i]
        if ch in "VZBSCIJFD":
            params.append(ch)
            i += 1
        elif ch == "[":
            # Array — find the base type
            array_prefix = "["
            i += 1
            while i < len(params_str) and params_str[i] == "[":
                array_prefix += "["
                i += 1
            if i < len(params_str):
                if params_str[i] == "L":
                    end = params_str.find(";", i)
                    if end != -1:
                        params.append(array_prefix + params_str[i : end + 1])
                        i = end + 1
                    else:
                        break
                else:
                    params.append(array_prefix + params_str[i])
                    i += 1
        elif ch == "L":
            end = params_str.find(";", i)
            if end != -1:
                params.append(params_str[i : end + 1])
                i = end + 1
            else:
                break
        else:
            i += 1
    return params