Kangjun Liu

23 papers A* 2B 1Journal 16Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
IEEE Trans. Cogn. Commun. Netw.
Kangjun Liu, Chunyan Qiu, Ke Chen, Qingfang Zheng, Lingyang Song, Yaowei Wang
2026 J jnl
IEEE Trans. Multim.
Longkun Zou, Kangjun Liu, Ke Chen, Kailing Guo, Kui Jia, Yaowei Wang
2025 conf
VTC2025-Fall
Lu Cheng, Shuhang Zhang, Hongliang Zhang, Qingyu Liu, Mohammed Karmoose, Kangjun Liu, Yaowei Wang
2025 A* conf
CVPR
Qirui Huang, Runze Zhang, Kangjun Liu, Minglun Gong, Hao Zhang, Hui Huang
2025 J jnl
CoRR
Qirui Huang, Runze Zhang, Kangjun Liu, Minglun Gong, Hao (Richard) Zhang, Hui Huang
2025 J jnl
CoRR
Zhaoyi Yan, Kangjun Liu, Qixiang Ye
2025 conf
VTC2025-Fall
Zhiyuan Liu, Qingyu Liu, Shuhang Zhang, Hongliang Zhang, Kangjun Liu, Yaowei Wang
2025 J jnl
IEEE Trans. Cogn. Commun. Netw.
Shuhang Zhang, Shuai Jiang, Wanjie Lin, Zheng Fang, Kangjun Liu, Hongliang Zhang, Ke Chen
2025 J jnl
Pattern Recognit.
Kangjun Liu, Ke Chen, Kui Jia, Yaowei Wang
2025 conf
VTC2025-Fall
Chunyan Qiu, Kangjun Liu, Longkun Zou, Xinhuai Wang, Ke Chen
2025 J jnl
Neurocomputing
Xiang Li, Runhai Jiao, Changyu Zhou, Boxu Yan, Kaihang Li, Kangjun Liu
2025 conf
VTC2025-Fall
Feng Qiu, Kangjun Liu, Longkun Zou, Jing Liu, Ke Chen
2025 J jnl
CoRR
Zheng Fang, Kangjun Liu, Ke Chen, Qingyu Liu, Jianguo Zhang, Lingyang Song, Yaowei Wang
2025 J jnl
CoRR
Longkun Zou, Kangjun Liu, Ke Chen, Kailing Guo, Kui Jia, Yaowei Wang
2024 A* conf
ACM Multimedia
Zimo Liu, Kangjun Liu, Mingyue Guo, Shiliang Zhang, Yaowei Wang
2024 J jnl
Inf. Sci.
Zuopeng Yang, Pengyu Chen, Tao Li, Kangjun Liu, Yuan Huang, Xin Lin
2024 J jnl
CoRR
Shuhang Zhang, Shuai Jiang, Wanjie Lin, Zheng Fang, Kangjun Liu, Hongliang Zhang, Ke Chen
2024 B conf
GLOBECOM
Shuai Shao, Kangjun Liu, Qingyu Liu, Shuhang Zhang, Ke Chen, Lingyang Song
2023 J jnl
Pattern Recognit.
Zelin Xu, Kangjun Liu, Ke Chen, Changxing Ding, Yaowei Wang, Kui Jia
2023 J jnl
CoRR
Kangjun Liu, Ke Chen, Yaowei Wang, Kui Jia
2023 J jnl
CoRR
Kangjun Liu, Ke Chen, Lihua Guo, Yaowei Wang, Kui Jia
2022 J jnl
IEEE Trans. Image Process.
Kangjun Liu, Ke Chen, Kui Jia
2022 J jnl
CoRR
Kangjun Liu, Ke Chen, Kui Jia
tests/unit/test_decompile_strings.py
← Index tests/unit/test_decompile_strings.py python
"""Unit tests for bninja/analysis/strings.py — StringAnalysis."""
import pytest
import math
from unittest.mock import MagicMock


# StringAnalysis has no binaryninja imports, just collections and math
from redb.extractors.decompiler.bninja.analysis.strings import StringAnalysis


# ============================================================================
# Helper mocks
# ============================================================================

class MockStringEntry:
    """Mock for a Binary Ninja string reference."""
    def __init__(self, value, raw=None, start=0, length=0, type_name="Utf8String"):
        self.value = value
        self.raw = raw if raw is not None else (value.encode("utf-8") if isinstance(value, str) else value)
        self.start = start
        self.length = length if length else len(self.raw)
        self.type = MagicMock()
        self.type.name = type_name


class MockBinaryView:
    """Mock binary view with a strings list."""
    def __init__(self, strings=None):
        self.strings = strings or []


# ============================================================================
# 6a. StringAnalysis
# ============================================================================


class TestStringAnalysisEntropy:
    def setup_method(self):
        self.sa = StringAnalysis(bv=MockBinaryView(), functions=[])

    def test_entropy_empty_string(self):
        assert self.sa.entropy("") == 0.0

    def test_entropy_single_char(self):
        assert self.sa.entropy("aaaa") == 0.0

    def test_entropy_uniform_distribution(self):
        # "abcd" -> 4 unique chars, each p=1/4, entropy = log2(4) = 2.0
        result = self.sa.entropy("abcd")
        assert result == pytest.approx(2.0)

    def test_entropy_binary_string(self):
        # "ab" -> 2 unique chars, each p=1/2, entropy = log2(2) = 1.0
        result = self.sa.entropy("ab")
        assert result == pytest.approx(1.0)


class TestStringAnalysisAnalyze:
    def test_analyze_deduplication(self):
        """Duplicate (string, encoding) pairs -> only first kept."""
        entries = [
            MockStringEntry("hello", start=100, type_name="Utf8String"),
            MockStringEntry("hello", start=200, type_name="Utf8String"),
        ]
        bv = MockBinaryView(strings=entries)
        sa = StringAnalysis(bv=bv, functions=[])
        result = sa.analyze()
        assert len(result) == 1
        assert result[0]["string_offset"] == 100

    def test_analyze_sorted_by_address(self):
        """First occurrence (lowest offset) is the one kept."""
        entries = [
            MockStringEntry("world", start=500, type_name="Utf8String"),
            MockStringEntry("world", start=100, type_name="Utf8String"),
        ]
        bv = MockBinaryView(strings=entries)
        sa = StringAnalysis(bv=bv, functions=[])
        result = sa.analyze()
        assert len(result) == 1
        # The analyze() sorts by start, so 100 comes first
        assert result[0]["string_offset"] == 100

    def test_analyze_empty_bv(self):
        bv = MockBinaryView(strings=[])
        sa = StringAnalysis(bv=bv, functions=[])
        result = sa.analyze()
        assert result == []

    def test_analyze_output_schema(self):
        entries = [MockStringEntry("test_string", start=0, type_name="Utf8String")]
        bv = MockBinaryView(strings=entries)
        sa = StringAnalysis(bv=bv, functions=[])
        result = sa.analyze()
        assert len(result) == 1
        r = result[0]
        required_keys = [
            "string",
            "string_raw",
            "string_encoding",
            "string_offset",
            "string_length",
            "string_raw_length",
            "string_entropy",
        ]
        for key in required_keys:
            assert key in r, f"Missing key: {key}"