Kaladhar Voruganti

64 papers A* 2A 6B 1Misc 5Journal 12Unranked 13
YearRankTypeTitle / Venue / Authors
2018 ch.
Encyclopedia of Database Systems (2nd ed.)
Kaladhar Voruganti
2018 ch.
Encyclopedia of Database Systems (2nd ed.)
Kaladhar Voruganti
2018 ch.
Encyclopedia of Database Systems (2nd ed.)
Kaladhar Voruganti
2018 ch.
Encyclopedia of Database Systems (2nd ed.)
Kaladhar Voruganti
2018 ch.
Encyclopedia of Database Systems (2nd ed.)
Kaladhar Voruganti
2018 ch.
Encyclopedia of Database Systems (2nd ed.)
Kaladhar Voruganti
2018 ch.
Encyclopedia of Database Systems (2nd ed.)
Kaladhar Voruganti
2018 ch.
Encyclopedia of Database Systems (2nd ed.)
Kaladhar Voruganti
2018 ch.
Encyclopedia of Database Systems (2nd ed.)
Kaladhar Voruganti
2018 ch.
Encyclopedia of Database Systems (2nd ed.)
Kaladhar Voruganti
2018 ch.
Encyclopedia of Database Systems (2nd ed.)
Kaladhar Voruganti
2018 ch.
Encyclopedia of Database Systems (2nd ed.)
Kaladhar Voruganti
2018 ch.
Encyclopedia of Database Systems (2nd ed.)
Kaladhar Voruganti
2018 ch.
Encyclopedia of Database Systems (2nd ed.)
Kaladhar Voruganti
2016 J jnl
ACM Trans. Storage
Jayanta Basak, Kushal Wadhwani, Kaladhar Voruganti
2015 Misc conf
MSST
Priya Sehgal, Sourav Basu, Kiran Srinivasan, Kaladhar Voruganti
2015 conf
HotStorage
Suganthi Dewakar, Sethuraman Subbiah, Gokul Soundararajan, Mike Wilson, Mark W. Storer, Kishore Kasi Udayashankar, Kaladhar Voruganti, Minglong Shao
2014 conf
LISA
Rukma Talwadker, Kaladhar Voruganti
2014 conf
USENIX ATC
Douglas Santry, Kaladhar Voruganti
2013 Misc conf
MSST
Rukma Talwadker, Kaladhar Voruganti
2012 conf
ICACCI
K. Arun Kumar, Vamshi Krishna Konishetty, Kaladhar Voruganti, G. V. Prabhakara Rao
2012 B conf
MASCOTS
Min Li, Shravan Gaonkar, Ali Raza Butt, Deepak Kenchammana, Kaladhar Voruganti
2012 conf
ICACCI
Vamshi Krishna Konishetty, K. Arun Kumar, Kaladhar Voruganti, G. V. Prabhakara Rao
2012 J jnl
ACM SIGOPS Oper. Syst. Rev.
Jayanta Basak, Kushal Wadhwani, Kaladhar Voruganti, Srinivasan Narayanamurthy, Vipul Mathur, Siddhartha Nandi
2012 J jnl
ACM SIGOPS Oper. Syst. Rev.
Lakshmi N. Bairavasundaram, Gokul Soundararajan, Vipul Mathur, Kaladhar Voruganti, Kiran Srinivasan
2012 Misc conf
MSST
Priya Sehgal, Kaladhar Voruganti, Rajesh Sundaram
2012 J jnl
ACM SIGOPS Oper. Syst. Rev.
Scott Dawkins, Kaladhar Voruganti, John D. Strunk
2012 A conf
FAST
Kiran Srinivasan, Timothy Bisson, Garth R. Goodson, Kaladhar Voruganti
2011 conf
HotStorage
Lakshmi N. Bairavasundaram, Gokul Soundararajan, Vipul Mathur, Kaladhar Voruganti, Steven Kleiman
2011 conf
ACC (1)
Sudharsan Sundararajan, Hari Narayanan, Vipin Pavithran, Kaladhar Voruganti, Krishnashree Achuthan
2009 conf
USENIX ATC
Anton Burtsev, Kiran Srinivasan, Prashanth Radhakrishnan, Kaladhar Voruganti, Garth R. Goodson
2009 ch.
Encyclopedia of Database Systems
Kaladhar Voruganti
2009 ch.
Encyclopedia of Database Systems
Kaladhar Voruganti
2009 ch.
Encyclopedia of Database Systems
Kaladhar Voruganti
2009 ch.
Encyclopedia of Database Systems
Kaladhar Voruganti
2009 J jnl
ACM Trans. Storage
Mark W. Storer, Kevin M. Greenan, Ethan L. Miller, Kaladhar Voruganti
2009 ch.
Encyclopedia of Database Systems
Kaladhar Voruganti
2009 ch.
Encyclopedia of Database Systems
Kaladhar Voruganti
2009 ch.
Encyclopedia of Database Systems
Kaladhar Voruganti
2009 ch.
Encyclopedia of Database Systems
Kaladhar Voruganti
2009 ch.
Encyclopedia of Database Systems
Kaladhar Voruganti
2009 ch.
Encyclopedia of Database Systems
Kaladhar Voruganti
2009 ch.
Encyclopedia of Database Systems
Kaladhar Voruganti
2008 J jnl
login Usenix Mag.
Mark W. Storer, Kevin M. Greenan, Ethan L. Miller, Kaladhar Voruganti
2008 A conf
FAST
Mark W. Storer, Kevin M. Greenan, Ethan L. Miller, Kaladhar Voruganti
2008 A conf
FAST
Akshat Verma, Kaladhar Voruganti, Ramani Routray, Rohit Jain
2007 conf
IEEE SCC
Sandeep Uttamchandani, Kaladhar Voruganti, Ramani Routray, Li Yin, Aameek Singh, Benji Yolken
2007 conf
USENIX ATC
Mark W. Storer, Kevin M. Greenan, Ethan L. Miller, Kaladhar Voruganti
2006 conf
USENIX ATC, General Track
Li Yin, Sandeep Uttamchandani, Madhukar R. Korupolu, Kaladhar Voruganti, Randy H. Katz
2005 Misc conf
MSST
Aameek Singh, Sandeep Gopisetty, Kaladhar Voruganti, David Pease, Ling Liu
2005 J jnl
RFC
Mark Bakke, John L. Hufferd, Kaladhar Voruganti, Marjorie Krueger, Todd Sperry
2005 conf
CSREA EEE
Aameek Singh, Kaladhar Voruganti, Sandeep Gopisetty, Aki Fleshler, Ramani Routray, Chung-Hao Tan
2005 Misc conf
MSST
Aameek Singh, Sandeep Gopisetty, Linda Duyanovich, Kaladhar Voruganti, David Pease, Ling Liu
2005 A conf
FAST
Aameek Singh, Madhukar R. Korupolu, Kaladhar Voruganti
2004 J jnl
Distributed Parallel Databases
Kaladhar Voruganti, M. Tamer Özsu, Ronald C. Unrau
2004 J jnl
RFC
Mark Bakke, Jim Hafner, John L. Hufferd, Kaladhar Voruganti, Marjorie Krueger
2004 J jnl
SIGMOD Rec.
Kaladhar Voruganti, Jai Menon, Sandeep Gopisetty
2004 conf
POLICY
Dakshi Agrawal, James Giles, Kang-Won Lee, Kaladhar Voruganti, Khalid Filali-Adib
2004 A conf
FAST
Sandeep Uttamchandani, Kaladhar Voruganti, Sudarshan M. Srinivasan, John Palmer, David Pease
2003 J jnl
IBM Syst. J.
Prasenjit Sarkar, Kaladhar Voruganti, Kalman Z. Meth, Ofer Biran, Julian Satran
2003 A conf
FAST
Prasenjit Sarkar, Sandeep Uttamchandani, Kaladhar Voruganti
2002 J jnl
SIGMOD Rec.
Kenneth A. Ross, Flip Korn, Renée J. Miller, Kaladhar Voruganti
1999 A* conf
VLDB
Kaladhar Voruganti, M. Tamer Özsu, Ronald C. Unrau
1998 A* conf
VLDB
M. Tamer Özsu, Kaladhar Voruganti, Ronald C. Unrau
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;