Nadjia Benblidia

45 papers B 1C 12Journal 16Unranked 16
YearRankTypeTitle / Venue / Authors
2026 J jnl
Inf. Softw. Technol.
Selena Lamari, Nadjia Benblidia, Chouki Tibermacine, Christelle Urtado, Sylvain Vauttier
2024 J jnl
Multim. Tools Appl.
Ali Baaloul, Nadjia Benblidia, Fatma Zohra Reguieg, Mustapha Bouakkaz, Hisham Felouat
2024 C conf
AICCSA
Hiba Ouchene, Melyara Mezzi, Lamia Oukid, Nadjia Benblidia, Fadila Bentayeb
2024 conf
ICSOC (2)
Selena Lamari, Nadjia Benblidia, Chouki Tibermacine, Christelle Urtado, Sylvain Vauttier
2024 C conf
AICCSA
Hiba Ouchene, Nadjia Benblidia, Melyara Mezzi
2024 J jnl
Multim. Tools Appl.
Fatma Zohra Reguieg, Nadjia Benblidia
2023 J jnl
Informatica (Slovenia)
Mohammed Belaggoune, Akou Anouar, Nadjia Benblidia
2022 J jnl
J. King Saud Univ. Comput. Inf. Sci.
Amina Benkessirat, Nadjia Benblidia
2021 conf
AI-CSP
Mohammed Belaggoune, Nadjia Benblidia
2020 J jnl
J. King Saud Univ. Comput. Inf. Sci.
Mohamed Ramdani, Mohamed Benmohammed, Nadjia Benblidia
2019 C conf
AICCSA
Mohamed Amir Abbas, Nadjia Benblidia, Nour-El-Islam Bachari
2019 C conf
AICCSA
Amina Benkessirat, Nadjia Benblidia
2019 J jnl
J. Circuits Syst. Comput.
Ahmed Bellemou, Nadjia Benblidia, Mohamed Anane, Mohamed Issad
2019 C conf
AICCSA
Nour El Houda Boulkrinat, Nadjia Benblidia, Abdelkrim Meziane
2018 conf
ICAASE
Mohamed Ramdani, Mohamed Benmohammed, Nadjia Benblidia
2018 conf
ICFNDS
Mohamed Ramdani, Mohamed Benmohammed, Nadjia Benblidia
2018 J jnl
Int. J. Math. Model. Numer. Optimisation
Sarah Attaf, Nadjia Benblidia, Omar Boussaid
2017 J jnl
J. Integr. Des. Process. Sci.
Melyara Mezzi, Nadjia Benblidia, Xiangji Huang
2016 conf
EDA
Sarah Attaf, Nadjia Benblidia, Omar Boussaid
2016 J jnl
Int. J. Data Anal. Tech. Strateg.
Khadidja Ameur, Nadjia Benblidia, Saliha Oukid-Khouas
2016 B conf
ICPR
Siham Bacha, Mohand Saïd Allili, Nadjia Benblidia
2016 J jnl
J. Vis. Commun. Image Represent.
Siham Bacha, Mohand Saïd Allili, Nadjia Benblidia
2016 conf
ICIAR
Idir Filali, Mohand Saïd Allili, Nadjia Benblidia
2016 J jnl
Signal Process. Image Commun.
Idir Filali, Mohand Saïd Allili, Nadjia Benblidia
2016 J jnl
Int. J. Data Warehous. Min.
Lamia Oukid, Omar Boussaid, Nadjia Benblidia, Fadila Bentayeb
2015 C conf
WEBIST
Melyara Mezzi, Nadjia Benblidia
2015 J jnl
Int. Arab J. Inf. Technol.
Soumia Belhadi, Nadjia Benblidia
2015 J jnl
Int. J. Metadata Semant. Ontologies
Lilia Hannachi, Nadjia Benblidia, Omar Boussaïd, Fadila Bentayeb
2015 J jnl
Int. J. Data Warehous. Min.
Lamia Oukid, Nadjia Benblidia, Fadila Bentayeb, Ounas Asfari, Omar Boussaid
2015 conf
IPAC
Lynda Kacha, Saliha Oukid-Khouas, Nadjia Benblidia
2015 conf
IDT
Ahmed Bellemou, Mohamed Anane, Nadjia Benblidia, Mohamed Issad
2015 C conf
AICCSA
Rachid Selt, Yacine Challal, Nadjia Benblidia
2015 conf
EDA
Lilia Hannachi, Omar Boussaïd, Nadjia Benblidia, Fadila Bentayeb
2015 conf
EDA
Lamia Oukid, Omar Boussaïd, Nadjia Benblidia, Fadila Bentayeb
2014 C conf
IGARSS
Hafidha Bouyerbou, Kamal Bechkoum, Nadjia Benblidia, Richard Lepage
2014 C conf
MEDI
Sarah Attaf, Nadjia Benblidia, Omar Boussaid
2013 conf
ISSPIT
Mahdia Bakalem, Nadjia Benblidia, Samy Ait-Aoudia
2013 C conf
DOLAP
Lamia Oukid, Ounas Asfari, Fadila Bentayeb, Nadjia Benblidia, Omar Boussaid
2013 conf
ICITCS
Siham Bacha, Nadjia Benblidia
2013 conf
EDA
Lamia Oukid, Ounas Asfari, Fadila Bentayeb, Nadjia Benblidia, Omar Boussaïd
2013 conf
ICITCS
Khadidja Ameur, Nadjia Benblidia, Saliha Oukid-Khouas
2013 C conf
DOLAP
Lilia Hannachi, Nadjia Benblidia, Fadila Bentayeb, Omar Boussaid
2012 C conf
ADMA
Lilia Hannachi, Ounas Asfari, Nadjia Benblidia, Fadila Bentayeb, Nadia Kabachi, Omar Boussaid
2012 conf
SITIS
Idir Filali, Djemel Ziou, Nadjia Benblidia
2011 conf
IP&C
Mahdia Bakalem, Nadjia Benblidia, Samy Ait-Aoudia
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;