Olov Engwall

63 papers A* 1A 26B 3Misc 2Journal 17Unranked 12
YearRankTypeTitle / Venue / Authors
2025 J jnl
CoRR
Pablo González-Oliveras, Olov Engwall, Ali Reza Majlesi
2025 J jnl
Int. J. Soc. Robotics
Pablo González-Oliveras, Olov Engwall, Adriana Wilde
2024 B conf
IVA
Alireza Mahmoudi Kamelabad, Olov Engwall, Gabriel Skantze
2024 conf
HRI (Companion)
Ronald Cumbal, Olov Engwall
2024 J jnl
CoRR
Ronald Cumbal, Birger Moëll, José Lopes, Olov Engwall
2023 J jnl
Frontiers Robotics AI
Olov Engwall, Juan Pedro Bandera Rubio, Suna Bensch, Kerstin Sophie Haring, Takayuki Kanda, Pedro Núñez, Matthias Rehm, Antonio Sgorbissa
2023 J jnl
Frontiers Robotics AI
Olov Engwall, Ronald Cumbal, Ali Reza Majlesi
2023 J jnl
Frontiers Robotics AI
Ronald Cumbal, Agnes Axelsson, Shivam Mehta, Olov Engwall
2022 J jnl
ACM Trans. Hum. Robot Interact.
Olov Engwall, Ronald Cumbal, José Lopes, Mikael Ljung, Linnea Månsson
2022 J jnl
Int. J. Soc. Robotics
Olov Engwall, José Lopes, Ronald Cumbal
2022 B conf
IVA
Ronald Cumbal, Daniel Alexander Kazzi, Vincent Winberg, Olov Engwall
2021 A conf
Interspeech
Ronald Cumbal, Birger Moëll, José Lopes, Olov Engwall
2021 A* conf
HRI
Sarah Gillet, Ronald Cumbal, André Pereira, José Lopes, Olov Engwall, Iolanda Leite
2021 J jnl
Int. J. Soc. Robotics
Olov Engwall, José Lopes, Anna Åhlund
2020 B conf
ICMI
Ronald Cumbal, José Lopes, Olov Engwall
2020 conf
HRI (Companion)
Ronald Cumbal, José Lopes, Olov Engwall
2019 J jnl
IEEE ACM Trans. Audio Speech Lang. Process.
Marc Arnela, Saeed Dabbaghchian, Oriol Guasch, Olov Engwall
2019 J jnl
CoRR
Andreas Wedenborn, Preben Wik, Olov Engwall, Jonas Beskow
2017 ed.
SLaTE
Olov Engwall, José Davis Lopes
2017 conf
SLaTE
José Lopes, Olov Engwall, Gabriel Skantze
2017 A conf
INTERSPEECH
Marc Arnela, Saeed Dabbaghchian, Oriol Guasch, Olov Engwall
2017 A conf
INTERSPEECH
Saeed Dabbaghchian, Marc Arnela, Olov Engwall, Oriol Guasch
2016 A conf
INTERSPEECH
Saeed Dabbaghchian, Marc Arnela, Olov Engwall, Oriol Guasch, Ian Stavness, Pierre Badin
2015 conf
ICPhS
Saeed Dabbaghchian, Marc Arnela, Olov Engwall
2013 J jnl
Speech Commun.
Christos Koniaris, Giampiero Salvi, Olov Engwall
2012 A conf
INTERSPEECH
Christos Koniaris, Olov Engwall, Giampiero Salvi
2012 J jnl
IEEE Trans. Speech Audio Process.
Gopal Ananthakrishnan, Olov Engwall, Daniel Neiberg
2011 ed.
AVSP
Giampiero Salvi, Jonas Beskow, Olov Engwall, Samer Al Moubayed
2011 J jnl
Speech Commun.
Gopal Ananthakrishnan, Olov Engwall
2011 Misc conf
ICASSP
Christos Koniaris, Olov Engwall
2011 A conf
INTERSPEECH
Christos Koniaris, Olov Engwall
2011 Misc conf
ICASSP
Gopal Ananthakrishnan, Olov Engwall
2011 conf
SLaTE
Gopal Ananthakrishnan, Preben Wik, Olov Engwall, Sherif M. Abdou
2010 conf
AVSP
Sébastien Picard, Gopal Ananthakrishnan, Preben Wik, Olov Engwall, Sherif M. Abdou
2010 conf
AVSP
Olov Engwall
2010 A conf
INTERSPEECH
Gopal Ananthakrishnan, Pierre Badin, Julián Andrés Valdés Vargas, Olov Engwall
2009 A conf
INTERSPEECH
Olov Engwall, Preben Wik
2009 J jnl
Speech Commun.
Hedvig Kjellström, Olov Engwall
2009 conf
AVSP
Olov Engwall, Preben Wik
2009 A conf
INTERSPEECH
Gopal Ananthakrishnan, Daniel Neiberg, Olov Engwall
2008 conf
EUSIPCO
Athanasios Katsamanis, Gopal Ananthakrishnan, George Papandreou, Petros Maragos, Olov Engwall
2008 A conf
INTERSPEECH
Olov Engwall
2008 A conf
INTERSPEECH
Preben Wik, Olov Engwall
2008 A conf
INTERSPEECH
Daniel Neiberg, Gopal Ananthakrishnan, Olov Engwall
2007 A conf
INTERSPEECH
Hedvig Kjellström, Olov Engwall, Sherif Mahdy Abdou, Olle Bälter
2006 J jnl
Behav. Inf. Technol.
Olov Engwall, Olle Bälter, Anne-Marie Öster, Hedvig Kjellström
2006 conf
CHI Extended Abstracts
Olov Engwall, Olle Bälter, Anne-Marie Öster, Hedvig Kjellström
2006 A conf
INTERSPEECH
Hedvig Kjellström, Olov Engwall, Olle Bälter
2005 A conf
INTERSPEECH
Olov Engwall
2005 A conf
INTERSPEECH
Olov Engwall
2005 A conf
ASSETS
Olle Bälter, Olov Engwall, Anne-Marie Öster, Hedvig Kjellström
2004 A conf
INTERSPEECH
Jonas Beskow, Olov Engwall, Björn Granström, Preben Wik
2004 A conf
INTERSPEECH
Olov Engwall
2004 A conf
INTERSPEECH
Olov Engwall
2003 J jnl
Speech Commun.
Olov Engwall
2003 A conf
INTERSPEECH
Olov Engwall, Jonas Beskow
2002 A conf
INTERSPEECH
Olov Engwall
2001 A conf
INTERSPEECH
Olov Engwall
2001 conf
SSW
Olov Engwall
2001 A conf
INTERSPEECH
Olov Engwall
2000 A conf
INTERSPEECH
Olov Engwall
2000 A conf
INTERSPEECH
Olov Engwall
1999 conf
EUROSPEECH
Olov Engwall
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;