Hajime Kita

49 papers A 5B 11C 6Journal 8Unranked 18
YearRankTypeTitle / Venue / Authors
2022 conf
WCCE
Hajime Kita, Naoko Takahashi, Naohiro Chubachi
2019 J jnl
IEICE Trans. Electron.
Juan Zhou, Mikihiko Mori, Hajime Kita
2018 C conf
ICCE
Juan Zhou, Hajime Kita, Hideyuki Takada, Ian Piumarta
2013 conf
HCI (20)
Juan Zhou, Mikihiko Mori, Hajime Kita
2013 conf
IIAI-AAI
Juan Zhou, Mikihiko Mori, Hajime Kita, Kiku Watagoshi
2013 J jnl
Int. J. Distance Educ. Technol.
Juan Zhou, Mikihiko Mori, Hiroshi Ueda, Hajime Kita
2012 conf
C5
Mikihiko Mori, Hajime Kita, Juan Zhou
2012 conf
IIAI-AAI
Juan Zhou, Mikihiko Mori, Hajime Kita
2011 C conf
ICCE
Juan Zhou, Hajime Kita
2011 ed.
C5
Hajime Kita, Ian Piumarta, Robert Hirschfeld, Serge Stinckwich
2010 conf
C5
Hiroki Saito, Tetsuya Abe, Kokolo Ikeda, Kenji Ohira, Mikihiko Mori, Tetsutaro Uehara, Hajime Kita
2009 B conf
IEEE Congress on Evolutionary Computation
Hirotaka Kaji, Kokolo Ikeda, Hajime Kita
2009 conf
C5
Masaki Saga, Kokolo Ikeda, Mikihiko Mori, Tetsutaro Uehara, Hajime Kita, Yohei Naya, Naomi Nagata, Hiroto Ueda, Akio Okumura, Terufumi Ohno
2009 B conf
IEEE Congress on Evolutionary Computation
Hirotaka Kaji, Kokolo Ikeda, Hajime Kita
2008 B conf
IEEE Congress on Evolutionary Computation
Hirotaka Kaji, Kokolo Ikeda, Hajime Kita
2008 conf
JSAI
Mikihiko Mori, Kokolo Ikeda, Gaku Hagiwara, Masaki Saga, Tetsutaro Uehara, Hajime Kita
2007 C conf
EMO
Hirotaka Kaji, Hajime Kita
2007 B conf
IEEE Congress on Evolutionary Computation
Hirotaka Kaji, Hajime Kita
2007 C conf
EMO
Kokolo Ikeda, Hiromichi Suzuki, Sandor Markon, Hajime Kita
2007 C conf
EMO
Hirotaka Kaji, Hajime Kita
2007 conf
C5
Gaku Hagiwara, Kokolo Ikeda, Mikihiko Mori, Tetsutaro Uehara, Hajime Kita
2007 B conf
IEEE Congress on Evolutionary Computation
Kokolo Ikeda, Hajime Kita
2006 conf
WCSS
Tsuyoshi Matsunaga, Hajime Kita
2006 conf
C5
Takeshi Fujioka, Hideyuki Takada, Hajime Kita
2004 J jnl
New Gener. Comput.
Masayuki Ishinishi, Yuhsuke Koyama, Hiroshi Deguchi, Hajime Kita
2003 B conf
IEEE Congress on Evolutionary Computation
Satoshi Takahashi, Hajime Kita, Hiromichi Suzuki, Takeshi Sudo, Sandor Markon
2003 conf
CIRA
Hajime Kita, Hiroshi Sato, Naoki Mori, Isao Ono
2002 B conf
IEEE Congress on Evolutionary Computation
Yasuhito Sano, Hajime Kita
2001 J jnl
Evol. Comput.
Hajime Kita
2001 conf
JSAI Workshops
Rikiya Fukumoto, Hajime Kita
2001 B conf
CEC
Masato Takahashi, Hajime Kita
2001 B conf
CEC
Kokolo Ikeda, Hajime Kita, Shigenobu Kobayashi
2001 conf
JSAI Workshops
Hiroshi Sato, Hiroyuki Matsui, Isao Ono, Hajime Kita, Takao Terano, Hiroshi Deguchi, Yoshinori Shiozawa
2000 A conf
GECCO
Osamu Takahashi, Hajime Kita, Shigenobu Kobayashi
2000 A conf
PPSN
Yasuhito Sano, Hajime Kita
1999 J jnl
IEEE Trans. Neural Networks
Bao-Liang Lu, Hajime Kita, Yoshikazu Nishikawa
1999 B conf
CEC
Hajime Kita, Isao Ono, Shigenobu Kobayashi
1999 J jnl
Syst. Comput. Jpn.
Satoshi Maekawa, Hajime Kita, Yoshikazu Nishikawa, Hidefumi Sawai
1998 A conf
PPSN
Naoki Mori, Hajime Kita, Yoshikazu Nishikawa
1998 B conf
ICONIP
Ahmet Onat, Hajime Kita, Yoshikazu Nishikawa
1997 conf
ICGA
Naoki Mori, Seiji Imanishi, Hajime Kita, Yoshikazu Nishikawa
1997 J jnl
Artif. Life Robotics
Ahmet Onat, Hajime Kita, Yoshikazu Nishikawa
1996 conf
International Conference on Evolutionary Computation
Keiji Maekawa, Naoki Mori, Hisashi Tamaki, Hajime Kita, Yoshikazu Nishikawa
1996 A conf
PPSN
Naoki Mori, Hajime Kita, Yoshikazu Nishikawa
1996 conf
International Conference on Evolutionary Computation
Hisashi Tamaki, Hajime Kita, Shigenobu Kobayashi
1996 A conf
PPSN
Hajime Kita, Yasuyuki Yabumoto, Naoki Mori, Yoshikazu Nishikawa
1994 conf
International Conference on Evolutionary Computation
Hisashi Tamaki, Hajime Kita, Nobuhiko Shimizu, Keiji Maekawa, Yoshikazu Nishikawa
1993 C conf
ISADS
Yoshikazu Nishikawa, Hisashi Tamaki, Hajime Kita, Nobuhiko Shimizu
1992 J jnl
IEEE Trans. Ind. Electron.
Hajime Kita, Hideyuki Odani, Yoshikazu Nishikawa
sql/redb_js_tables.sql
← Index sql/redb_js_tables.sql sql
-- JavaScript malware analysis tables
-- Engine: ReplacingMergeTree(analysis_date) — latest analysis wins on re-processing
--
-- File order:
--   1. redb_js_features
--   2. redb_js_suspicious_apis
--   3. redb_js_deobfuscation
--   4. code_text_content              (generic text-content table; JS today,
--                                      PowerShell / Python / email / extracted
--                                      PDF / Office text in the future)
--   5. redb_iocs source_type ALTER    (extends Enum8 with text_raw/text_normalized
--                                      so JS — and any future text-based pipeline —
--                                      can distinguish IOCs found in the raw vs
--                                      normalised surface)
--   6. redb_iocs ioc_type ALTER       (adds registry_key=42 so HKLM/HKCU/HKEY_*
--                                      keys are extracted alongside file paths)
--
-- Decoded strings from JS still go into the shared code_binja_strings_raw
-- table (same schema used by DecompileBinja and DecompileAPK). JS
-- string_encoding values: hex, unicode, charcode, base64, concat. Plain long
-- literals are not extracted here — they're already in code_text_content and
-- scraped by the IOC pipeline over text_raw/text_normalized.
-- string_offset is the line number in the source file.
--
-- redb_js_features.script_type values (file format / container, first match):
--   jse, wsf, hta, embedded_html, wscript, esm, node_module, standalone, unknown
-- redb_js_features.detected_environment values (runtime by API surface, first
-- match):
--   wscript, browser_extension, service_worker, deno, node, browser, unknown

-- 1. Core features & obfuscation metrics (1 row per sample)
CREATE TABLE IF NOT EXISTS redb_js_features (
    sha256 FixedString(64),
    line_count UInt32,
    char_count UInt64,
    text_entropy Float64,
    max_line_length UInt32,
    avg_line_length Float64,
    is_minified UInt8,
    is_likely_obfuscated UInt8,
    obfuscator_name LowCardinality(String),
    obfuscation_score UInt8,
    obfuscation_techniques Array(String),
    eval_count UInt32,
    function_constructor_count UInt32,
    settimeout_setinterval_count UInt32,
    document_write_count UInt32,
    innerhtml_count UInt32,
    unescape_count UInt32,
    fromcharcode_count UInt32,
    atob_count UInt32,
    decodeuri_count UInt32,
    total_function_count UInt32,
    total_variable_count UInt32,
    max_nesting_depth UInt16,
    avg_identifier_length Float64,
    hex_string_count UInt32,
    unicode_escape_count UInt32,
    long_string_count UInt32,
    base64_string_count UInt32,
    comment_ratio Float64,
    script_type LowCardinality(String),
    detected_environment LowCardinality(String),
    analysis_date DateTime64(3, 'UTC')
) ENGINE = ReplacingMergeTree(analysis_date)
ORDER BY sha256;

-- 2. Suspicious API calls (multi-row per sample)
--
-- `revealed_by_deobf` is 1 when the API only appears after the deobfuscation
-- pass (i.e. the call site is hidden in the raw artefact and surfaces only in
-- text_normalized). Useful for filtering "what did normalisation actually
-- buy us" without re-running the diff.
CREATE TABLE IF NOT EXISTS redb_js_suspicious_apis (
    sha256 FixedString(64),
    api_name String,
    api_category LowCardinality(String),
    call_count UInt32,
    line_numbers Array(UInt32),
    context_snippet String,
    revealed_by_deobf UInt8,
    analysis_date DateTime64(3, 'UTC')
) ENGINE = ReplacingMergeTree(analysis_date)
ORDER BY (sha256, api_name);

-- 3. Deobfuscation results (1 row per sample)
CREATE TABLE IF NOT EXISTS redb_js_deobfuscation (
    sha256 FixedString(64),
    deobfuscator_used LowCardinality(String),
    deobfuscation_successful UInt8,
    original_size UInt64,
    deobfuscated_size UInt64,
    size_change_ratio Float64,
    original_entropy Float64,
    deobfuscated_entropy Float64,
    new_strings_found UInt32,
    new_apis_found UInt32,
    deobfuscated_sha256 FixedString(64),
    analysis_date DateTime64(3, 'UTC')
) ENGINE = ReplacingMergeTree(analysis_date)
ORDER BY sha256;

-- 4. Generic text-content table for any text-based artefact (JS today;
--    PowerShell, Python, plain text, email bodies, extracted PDF/Office text
--    in the future). One row per sha256. content_type carries the magika
--    label so callers can filter without joining other tables.
CREATE TABLE IF NOT EXISTS code_text_content (
    sha256 FixedString(64),
    content_type LowCardinality(String),
    text_raw String CODEC(ZSTD(3)),
    text_normalized Nullable(String) CODEC(ZSTD(3)),
    normalizer_used Nullable(String),
    analysis_date DateTime64(3, 'UTC')
) ENGINE = ReplacingMergeTree(analysis_date)
ORDER BY sha256;

-- 5. Extend redb_iocs.source_type Enum8 with two universal text-content
--    surfaces: text_raw (the artefact's original text) and text_normalized
--    (a deobfuscated/canonicalised form). Used by the JS IOC extraction
--    pipeline today; any future text-based pipeline (PowerShell, PDF, etc.)
--    plugs into the same two values.
--
-- Existing rows keep their stored integer values; only newly-inserted rows
-- can use 4/5. The MODIFY COLUMN must list the full final enum, including
-- the existing values (1/2/3) — ClickHouse rejects partial alters.
ALTER TABLE redb_iocs
    MODIFY COLUMN source_type
    Enum8('decompiled_function'=1, 'disassembled_function'=2, 'string'=3,
          'text_raw'=4, 'text_normalized'=5);

-- 6. Extend redb_iocs.ioc_type Enum8 with registry_key=42. Windows registry
--    paths (HKLM\..., HKCU\..., HKEY_LOCAL_MACHINE\...) are a distinct class
--    of IOC from filesystem paths and were previously extracted by nothing.
--    Same MODIFY COLUMN constraint as the source_type alter — the full final
--    enum must be listed.
ALTER TABLE redb_iocs
    MODIFY COLUMN ioc_type
    Enum8('ipv4'=1, 'ipv6'=2, 'fqdn'=3, 'url'=4, 'email'=5, 'server'=6,
          'hash_md5'=10, 'hash_sha1'=11, 'hash_sha256'=12,
          'cve'=20, 'cwe'=21, 'cpe'=22,
          'crypto_btc'=30, 'crypto_eth'=31, 'crypto_xrp'=32, 'crypto_bch'=33,
          'crypto_ada'=34, 'crypto_substrate'=35,
          'path_linux'=40, 'path_windows'=41, 'registry_key'=42,
          'onion'=50);

-- 7. Migrate redb_js_features to the two-tier obfuscation verdict.
--    `is_obfuscated` (binary heuristic at score >=40) is renamed to
--    `is_likely_obfuscated` (heuristic at >=60 + ≥1 strong signal, OR
--    js-x-ray flagged the obfuscator family). `obfuscator_name` is the
--    family name reported by @nodesecure/js-x-ray (jsfuck, obfuscator.io,
--    morse, jjencode, freejsobfuscator, ...) or empty when not detected.
--
--    Run once against an existing deployment. The CREATE TABLE above
--    already reflects the post-migration shape, so fresh installs skip this.
ALTER TABLE redb_js_features
    RENAME COLUMN is_obfuscated TO is_likely_obfuscated;
ALTER TABLE redb_js_features
    ADD COLUMN IF NOT EXISTS obfuscator_name LowCardinality(String) AFTER is_likely_obfuscated;

-- 8. Harmonise code_text_content column names with redb_iocs.source_type
--    enum values. The enum already uses `text_raw` / `text_normalized` for
--    the surface labels; the table previously stored the same data under
--    `content_raw` / `content_normalized`, forcing every join across the two
--    to translate names. Renaming the columns produces a self-documenting
--    schema where `redb_iocs.source_type='text_raw'` points directly at
--    `code_text_content.text_raw`.
--
--    Run once against an existing deployment. The CREATE TABLE above
--    already reflects the post-migration shape, so fresh installs skip this.
ALTER TABLE code_text_content
    RENAME COLUMN content_raw TO text_raw;
ALTER TABLE code_text_content
    RENAME COLUMN content_normalized TO text_normalized;

-- 9. Add revealed_by_deobf flag to redb_js_suspicious_apis. The strings/APIs
--    extractors now scan both the raw source and the deobfuscated text so APIs
--    hidden behind one obfuscation layer (Vjw0rm-style array.join + eval,
--    Dean-Edwards packers, ...) surface in the table. The flag is 1 only when
--    the API was *not* found in the raw source — querying for it isolates
--    "deobf-only" findings without joining redb_js_deobfuscation.
--
--    Run once against an existing deployment. The CREATE TABLE above
--    already reflects the post-migration shape, so fresh installs skip this.
ALTER TABLE redb_js_suspicious_apis
    ADD COLUMN IF NOT EXISTS revealed_by_deobf UInt8 AFTER context_snippet;