Carolyn L. Beck

111 papers A* 2C 24Misc 1Journal 48Unranked 36
YearRankTypeTitle / Venue / Authors
2025 conf
CCTA
Sungi Hong, Carolyn L. Beck
2025 J jnl
CoRR
Shivam Bajaj, Carolyn L. Beck, Vijay Gupta
2025 J jnl
Autom.
Sebin Gracy, Philip E. Paré, Ji Liu, Henrik Sandberg, Carolyn L. Beck, Karl Henrik Johansson, Tamer Basar
2024 J jnl
J. Optim. Theory Appl.
Haitian Liu, Subhonmesh Bose, Dinh Hoa Nguyen, Ye Guo, Thinh T. Doan, Carolyn L. Beck
2024 conf
CDC
Alessandro Astolfi, Carolyn L. Beck, Debraj Bhattacharjee, Yu Kawano, Alessio Moreschini, Henrik Sandberg, Jacquelien M. A. Scherpen
2024 conf
CDC
Xiaoqi Bi, Alec Koppel, Carolyn L. Beck
2023 J jnl
IEEE Trans. Autom. Control.
Xiaotian Xie, Dimitrios Katselis, Carolyn L. Beck, R. Srikant
2022 J jnl
Comput. Ind. Eng.
Mayank Baranwal, Lavanya Marla, Carolyn L. Beck, Srinivasa M. Salapaka
2022 conf
CDC
Xiaoqi Bi, Erik Miehling, Carolyn L. Beck, Tamer Basar
2022 conf
CCTA
Lucas Buccafusca, Carolyn L. Beck
2022 J jnl
CoRR
Sebin Gracy, Philip E. Paré, Ji Liu, Henrik Sandberg, Carolyn L. Beck, Karl Henrik Johansson, Tamer Basar
2022 conf
CDC
Esteban A. Hernández-Vargas, Alejandro H. González, Carolyn L. Beck, Xiaoqi Bi, Francesca Calà Campana, Giulia Giordano
2022 J jnl
IEEE Control. Syst. Lett.
Xiaotian Xie, Dimitrios Katselis, Carolyn L. Beck, R. Srikant
2022 C conf
ACC
Reza Soleymanifar, Carolyn L. Beck
2022 J jnl
SIAM J. Control. Optim.
Carolyn L. Beck, Francesco Bullo, Giacomo Como, Kimon Drakopoulos, Dang H. Nguyen, Cameron Nowzari, Victor M. Preciado, Shreyas Sundaram
2021 J jnl
CoRR
Subhonmesh Bose, Hoa Dinh Nguyen, Haitian Liu, Ye Guo, Thinh T. Doan, Carolyn L. Beck
2021 J jnl
IEEE Trans. Autom. Control.
Thinh T. Doan, Carolyn L. Beck
2021 J jnl
IEEE Trans. Control. Syst. Technol.
Philip E. Paré, Ji Liu, Carolyn L. Beck, Barrett E. Kirwan, Tamer Basar
2021 J jnl
Autom.
Philip E. Paré, Ji Liu, Carolyn L. Beck, Angelia Nedic, Tamer Basar
2021 C conf
ACC
Xiaoqi Bi, Carolyn L. Beck
2021 J jnl
CoRR
Xiaoqi Bi, Carolyn L. Beck
2021 J jnl
CoRR
Reza Soleymanifar, Carolyn L. Beck
2020 J jnl
IEEE Trans. Control. Syst. Technol.
Philip E. Paré, Ji Liu, Carolyn L. Beck, Barrett E. Kirwan, Tamer Basar
2020 J jnl
Annu. Rev. Control.
Philip E. Paré, Carolyn L. Beck, Tamer Basar
2020 conf
CDC
Xiaotian Xie, Dimitrios Katselis, Carolyn L. Beck, R. Srikant
2020 J jnl
CoRR
Xiaotian Xie, Dimitrios Katselis, Carolyn L. Beck, R. Srikant
2019 J jnl
CoRR
Reza Soleymanifar, Amber Srivastava, Carolyn L. Beck, Srinivasa M. Salapaka
2019 C conf
ACC
Sebastian F. Ruf, Philip E. Paré, Ji Liu, Carolyn L. Beck, Tamer Basar
2019 J jnl
IEEE Trans. Autom. Control.
Ji Liu, Philip E. Paré, Angelia Nedic, Choon Yik Tang, Carolyn L. Beck, Tamer Basar
2019 J jnl
IEEE Control. Syst. Lett.
Thinh T. Doan, Subhonmesh Bose, Dinh Hoa Nguyen, Carolyn L. Beck
2019 J jnl
IEEE Trans. Netw. Sci. Eng.
Shahzad F. Bhatti, Carolyn L. Beck, Angelia Nedic
2019 J jnl
IEEE Trans. Netw. Sci. Eng.
Dimitrios Katselis, Carolyn L. Beck, R. Srikant
2019 conf
ECC
Philip E. Paré, Ji Liu, Carolyn L. Beck, Tamer Basar
2018 C conf
ACC
Philip E. Pare, Ji Liu, Carolyn L. Beck, Tamer Basar
2018 Misc conf
ACSSC
Thinh T. Doan, Carolyn L. Beck, R. Srikant
2018 C conf
ACC
Thinh T. Doan, Carolyn L. Beck, R. Srikant
2018 C conf
ACC
Philip E. Pare, Barrett E. Kirwan, Ji Liu, Tamer Basar, Carolyn L. Beck
2018 J jnl
IEEE Trans. Control. Netw. Syst.
Philip E. Pare, Carolyn L. Beck, Angelia Nedic
2018 conf
CDC
Lucas Buccafusca, Carolyn L. Beck
2018 conf
SIGMETRICS (Abstracts)
Thinh T. Doan, Carolyn L. Beck, R. Srikant
2017 J jnl
SIGMETRICS Perform. Evaluation Rev.
Thinh T. Doan, Subhonmesh Bose, Carolyn L. Beck
2017 conf
CCTA
Thinh T. Doan, Carolyn L. Beck
2017 conf
CCTA
Philip E. Pare, Justin McGrath, Berkley J. Walker, Carolyn L. Beck
2017 conf
CCTA
Lucas Buccafusca, Carolyn L. Beck, Geir E. Dullerud
2017 C conf
ACC
Philip E. Pare, Ji Liu, Carolyn L. Beck, Angelia Nedic, Tamer Basar
2017 conf
CDC
Ji Liu, Philip E. Pare, Angelia Nedic, Carolyn L. Beck, Tamer Basar
2017 J jnl
Proc. ACM Meas. Anal. Comput. Syst.
Thinh T. Doan, Carolyn L. Beck, R. Srikant
2017 conf
CCTA
Seo Taek Kong, Dimitrios Katselis, Carolyn L. Beck, R. Srikant
2016 C conf
ACC
Dimitrios Katselis, Carolyn L. Beck
2016 J jnl
CoRR
Shahzad F. Bhatti, Carolyn L. Beck, Angelia Nedic
2016 conf
CDC
Shahzad F. Bhatti, Carolyn L. Beck, Angelia Nedic
2016 conf
CDC
Ji Liu, Philip E. Pare, Angelia Nedic, Choon Yik Tang, Carolyn L. Beck, Tamer Basar
2016 C conf
ACC
Mayank Baranwal, Pratik M. Parekh, Lavanya Marla, Srinivasa M. Salapaka, Carolyn L. Beck
2015 C conf
ACC
Pratik M. Parekh, Dimitrios Katselis, Carolyn L. Beck, Srinivasa M. Salapaka
2015 J jnl
CoRR
Dimitrios Katselis, Cristian R. Rojas, Carolyn L. Beck
2015 C conf
ACC
Dimitrios Katselis, Cristian R. Rojas, Carolyn L. Beck
2015 J jnl
Eur. J. Control
Carolyn L. Beck
2015 J jnl
Autom.
Dimitrios Katselis, Cristian R. Rojas, Boris I. Godoy, Juan C. Agüero, Carolyn L. Beck
2015 conf
CDC
Dimitrios Katselis, Carolyn L. Beck
2015 conf
CDC
Philip E. Pare, Carolyn L. Beck, Angelia Nedic
2014 J jnl
IEEE Trans. Autom. Control.
Yunwen Xu, Srinivasa M. Salapaka, Carolyn L. Beck
2014 conf
CDC
Yunwen Xu, Carolyn L. Beck, Srinivasa M. Salapaka
2014 J jnl
SIGMETRICS Perform. Evaluation Rev.
Chong Jiang, Carolyn L. Beck, R. Srikant
2014 J jnl
IEEE Trans. Autom. Control.
Yunwen Xu, Srinivasa M. Salapaka, Carolyn L. Beck
2014 conf
CDC
Dimitrios Katselis, Carolyn L. Beck, Mihaela van der Schaar
2014 J jnl
Syst. Control. Lett.
Mazen Farhood, Carolyn L. Beck
2013 conf
CDC
Yunwen Xu, Srinivasa M. Salapaka, Carolyn L. Beck
2013 C conf
ACC
Carolyn L. Beck, R. Srikant
2013 conf
SIAM Conf. on Control and its Applications
Evgeny Kharisov, Carolyn L. Beck, Marc J. Bloom
2012 conf
CDC
Yunwen Xu, Sanggyun Kim, Srinivasa M. Salapaka, Carolyn L. Beck, Todd P. Coleman
2012 J jnl
IEEE Trans. Autom. Control.
Puneet Sharma, Srinivasa M. Salapaka, Carolyn L. Beck
2012 J jnl
Syst. Control. Lett.
Carolyn L. Beck, R. Srikant
2011 J jnl
IEEE/ACM Trans. Netw.
Ashvin Lakshmikantha, Carolyn L. Beck, R. Srikant
2011 conf
CDC/ECC
Yunwen Xu, Srinivasa M. Salapaka, Carolyn L. Beck
2011 C conf
ACC
M. Ralph, Carolyn L. Beck, Marc J. Bloom
2010 conf
CDC
Yunwen Xu, Srinivasa M. Salapaka, Carolyn L. Beck
2009 J jnl
Comput. Commun. Rev.
Ashvin Lakshmikantha, R. Srikant, Nandita Dukkipati, Nick McKeown, Carolyn L. Beck
2009 conf
CDC
Carolyn L. Beck, Sanjay Lall, Tzuchen Liang, Matthew West
2008 J jnl
J. Chem. Inf. Model.
Puneet Sharma, Srinivasa M. Salapaka, Carolyn L. Beck
2008 C conf
ACC
Puneet Sharma, Srinivasa M. Salapaka, Carolyn L. Beck
2008 A* conf
INFOCOM
Ashvin Lakshmikantha, R. Srikant, Carolyn L. Beck
2008 C conf
ACC
Hui-Hung Lin, Carolyn L. Beck, Marc J. Bloom
2007 C conf
ACC
Puneet Sharma, Srinivasa M. Salapaka, Carolyn L. Beck
2006 C conf
ACC
Puneet Sharma, Srinivasa M. Salapaka, Carolyn L. Beck
2006 conf
CDC
Ashvin Lakshmikantha, R. Srikant, Carolyn L. Beck
2006 J jnl
Syst. Control. Lett.
Carolyn L. Beck
2005 C conf
ACC
Puneet Sharma, Srinivasa M. Salapaka, Carolyn L. Beck
2005 J jnl
Autom.
Mazen Farhood, Carolyn L. Beck, Geir E. Dullerud
2005 C conf
ACC
Ashvin Lakshmikantha, Carolyn L. Beck, R. Srikant
2005 J jnl
IEEE/ACM Trans. Netw.
Ashvin Lakshmikantha, Carolyn L. Beck, R. Srikant
2004 conf
CDC
Shyam Sivakumar, Carolyn L. Beck
2004 C conf
ACC
Puneet Sharma, Carolyn L. Beck
2004 J jnl
IEEE Trans. Autom. Control.
Carolyn L. Beck, Raffaello D'Andrea
2004 J jnl
IEEE Trans. Biomed. Eng.
Hui-Hing Lin, Carolyn L. Beck, Marc J. Bloom
2003 J jnl
IEEE Trans. Autom. Control.
Sanjay Lall, Carolyn L. Beck
2003 conf
CDC
Sikandar Samar, Carolyn L. Beck
2003 conf
CDC
Sikandar Samar, Carolyn L. Beck
2003 conf
CDC
Mazen Farhood, Carolyn L. Beck, Geir E. Dullerud
2003 C conf
ACC
Mazen Farhood, Carolyn L. Beck, Geir E. Dullerud
2003 C conf
ACC
Ashvin Lakshmikantha, Carolyn L. Beck, Rayadurgam Srikant
2002 C conf
ACC
Arash Mahboobin, Carolyn L. Beck, M-Hossein Moeinzadeh, Patrick J. Loughlin
2002 conf
CDC
Mazen Farhood, Carolyn L. Beck, Geir E. Dullerud
2002 C conf
ACC
Jerawan Chudoung, Carolyn L. Beck
2002 conf
CDC
Hui-Hung Lin, Carolyn L. Beck, Marc J. Bloom, Jerawan Chudoung
2001 conf
CDC
Hui-Hung Lin, Carolyn L. Beck, Joseph Nedumgottil, Marc J. Bloom
2001 J jnl
IEEE Trans. Autom. Control.
Carolyn L. Beck
2001 conf
CDC
Jerawan Chudoung, Carolyn L. Beck
1999 J jnl
IEEE Trans. Autom. Control.
Carolyn L. Beck, John C. Doyle
1999 J jnl
IEEE Trans. Control. Syst. Technol.
Pascale Bendotti, Carolyn L. Beck
1996 J jnl
IEEE Trans. Autom. Control.
Carolyn L. Beck, John Doyle, Keith Glover
1986 A* conf
ICRA
Carolyn L. Beck, Bruce H. Krogh
redb/extractors/js_extractors/js_strings.py
← Index redb/extractors/js_extractors/js_strings.py python
import base64
import bisect
import inspect
import re
from datetime import datetime, timezone
from typing import Any

from redb.extractors.enum import Tag
from redb.extractors.js_extractor import JSExtractor
from redb.extractors.js_extractors.js_patterns import STRING_PATTERNS, line_offsets

# Local aliases for the compiled patterns this extractor uses. Defined and
# compiled exactly once in js_patterns.STRING_PATTERNS.
_HEX_STRING_RE = STRING_PATTERNS["hex_escape_seq"]
_UNICODE_STRING_RE = STRING_PATTERNS["unicode_escape_seq"]
_CHARCODE_RE = STRING_PATTERNS["charcode_call"]
_BASE64_STRING_RE = STRING_PATTERNS["base64_quoted"]
_CONCAT_STRING_RE = STRING_PATTERNS["concat_chain"]

# Tokeniser used inside _reconstruct_concat to pull each quoted part out of a
# matched concat chain. Compiled once at module load (was recompiled on every
# concat match before).
_CONCAT_TOKEN_RE = re.compile(r'["\']([^"\']*)["\']')


class JSStringsExtractor(JSExtractor):

    def __init__(
        self, filepath, log, exporters=None, index_prefix=None,
        known_benign=False, known_malicious=False, source=None, context=None,
    ):
        super().__init__(
            filepath, log, exporters, index_prefix,
            known_benign, known_malicious, source, context=context,
        )
        self.string_findings = None
        self.log.debug(inspect.currentframe().f_code.co_name)

    def tag(self):
        return Tag.JS_STRINGS.value

    def _decode_hex_string(self, hex_str):
        """Decode \\x41\\x42 style hex strings."""
        try:
            # Remove \\x prefix and decode
            clean = hex_str.replace('\\x', '')
            return bytes.fromhex(clean).decode('utf-8', errors='replace')
        except Exception:
            return None

    def _decode_unicode_string(self, uni_str):
        """Decode \\u0041\\u0042 style unicode strings."""
        try:
            return uni_str.encode('utf-8').decode('unicode_escape')
        except Exception:
            return None

    def _decode_charcode(self, charcode_str):
        """Decode String.fromCharCode(72, 101, 108, ...) sequences."""
        try:
            codes = [int(c.strip()) for c in charcode_str.split(',') if c.strip().isdigit()]
            return ''.join(chr(c) for c in codes if 0 <= c <= 0x10FFFF)
        except Exception:
            return None

    def _decode_base64(self, b64_str):
        """Attempt to decode base64 string."""
        try:
            decoded = base64.b64decode(b64_str)
            # Check if result is printable text
            text = decoded.decode('utf-8', errors='strict')
            # Only return if it looks like text (>80% printable)
            printable = sum(1 for c in text if c.isprintable() or c in '\n\r\t')
            if printable / len(text) > 0.8:
                return text
        except Exception:
            pass
        return None

    def _reconstruct_concat(self, concat_match):
        """Reconstruct concatenated string parts."""
        try:
            parts = _CONCAT_TOKEN_RE.findall(concat_match)
            return ''.join(parts)
        except Exception:
            return None

    def _find_line_number(self, match_start):
        """1-indexed line number for `match_start`, looked up in O(log L) via
        bisect over `self._line_offsets` (built once per extract() call).

        Replaces the historical `self.js_source[:match_start].count('\\n') + 1`
        which was O(N) per call and quadratic across all matches in a sample.
        """
        return bisect.bisect_right(self._line_offsets, match_start)

    def _scan_text(self, text):
        """Run every encoded-string pattern over `text` and return a list of
        finding dicts. Stateless apart from the per-call `_line_offsets` cache,
        which `_find_line_number` reads — callers must reset it before invoking
        this so line numbers reference the text being scanned, not the previous
        one.
        """
        findings = []

        # Hex-encoded strings
        for m in _HEX_STRING_RE.finditer(text):
            raw = m.group()
            decoded = self._decode_hex_string(raw)
            if decoded and len(decoded) >= 4:
                findings.append({
                    'string': decoded[:4000],
                    'string_raw': raw[:4000],
                    'string_encoding': 'hex',
                    'string_offset': self._find_line_number(m.start()),
                    'string_length': len(decoded),
                    'string_raw_length': len(raw),
                    'string_entropy': self._calculate_text_entropy(decoded),
                })

        # Unicode-encoded strings
        for m in _UNICODE_STRING_RE.finditer(text):
            raw = m.group()
            decoded = self._decode_unicode_string(raw)
            if decoded and len(decoded) >= 3:
                findings.append({
                    'string': decoded[:4000],
                    'string_raw': raw[:4000],
                    'string_encoding': 'unicode',
                    'string_offset': self._find_line_number(m.start()),
                    'string_length': len(decoded),
                    'string_raw_length': len(raw),
                    'string_entropy': self._calculate_text_entropy(decoded),
                })

        # String.fromCharCode sequences
        for m in _CHARCODE_RE.finditer(text):
            raw = m.group()
            decoded = self._decode_charcode(m.group(1))
            if decoded and len(decoded) >= 4:
                findings.append({
                    'string': decoded[:4000],
                    'string_raw': raw[:4000],
                    'string_encoding': 'charcode',
                    'string_offset': self._find_line_number(m.start()),
                    'string_length': len(decoded),
                    'string_raw_length': len(raw),
                    'string_entropy': self._calculate_text_entropy(decoded),
                })

        # Base64-encoded strings
        for m in _BASE64_STRING_RE.finditer(text):
            raw = m.group(0)
            b64_val = m.group(1)
            decoded = self._decode_base64(b64_val)
            if decoded and len(decoded) >= 10:
                findings.append({
                    'string': decoded[:4000],
                    'string_raw': raw[:4000],
                    'string_encoding': 'base64',
                    'string_offset': self._find_line_number(m.start()),
                    'string_length': len(decoded),
                    'string_raw_length': len(raw),
                    'string_entropy': self._calculate_text_entropy(decoded),
                })

        # Concatenated strings (reassembled)
        for m in _CONCAT_STRING_RE.finditer(text):
            raw = m.group()
            reconstructed = self._reconstruct_concat(raw)
            if reconstructed and len(reconstructed) >= 20:
                findings.append({
                    'string': reconstructed[:4000],
                    'string_raw': raw[:4000],
                    'string_encoding': 'concat',
                    'string_offset': self._find_line_number(m.start()),
                    'string_length': len(reconstructed),
                    'string_raw_length': len(raw),
                    'string_entropy': self._calculate_text_entropy(reconstructed),
                })

        return findings

    def extract(self):
        src = self.js_source
        if not src:
            return None

        # Pass 1: raw source. _line_offsets is keyed off whichever text is
        # currently being scanned so _find_line_number resolves to that text.
        self._line_offsets = line_offsets(src)
        findings = self._scan_text(src)

        # Pass 2: deobfuscated text, when the deobfuscator produced something
        # meaningfully different. Same patterns, but a different surface — for
        # samples where the encoded payload is hidden behind an outer wrapper
        # (e.g. array.join() + eval in Vjw0rm/WSH-RAT) only this pass yields
        # any rows at all.
        deobf_text, _ = self._context.deobfuscated
        if deobf_text and deobf_text != src:
            self._line_offsets = line_offsets(deobf_text)
            findings.extend(self._scan_text(deobf_text))

        if not findings:
            return None

        # Deduplicate by decoded string value (raw pass wins on collision: it
        # comes first in `findings`). A string that surfaces only in the
        # deobfuscated text still gets persisted, which is the whole point of
        # the second pass.
        seen_values = set()
        deduped = []
        for f in findings:
            val_key = f['string'][:100]
            if val_key not in seen_values:
                seen_values.add(val_key)
                deduped.append(f)

        self.string_findings = deduped[:500]  # Limit per file
        # Publish to the shared context so post-loop consumers (notably the IOC
        # plumbing in workers.py) can scrape the decoded strings without
        # holding a reference to this extractor instance.
        self._context.decoded_strings = self.string_findings
        return self.string_findings

    def prepare_export_data(self, exporter_type: str) -> Any:
        if exporter_type == "ClickHouseExporter":
            if not self.string_findings:
                return None

            data = []
            for f in self.string_findings:
                data.append([
                    self.sha256,
                    f['string'],
                    f['string_raw'],
                    f['string_encoding'],
                    f['string_offset'],
                    f['string_length'],
                    f['string_raw_length'],
                    f['string_entropy'],
                ])

            column_names = [
                "sha256",
                "string",
                "string_raw",
                "string_encoding",
                "string_offset",
                "string_length",
                "string_raw_length",
                "string_entropy",
            ]

            column_type_names = [
                "FixedString(64)",
                "String",
                "String",
                "LowCardinality(String)",
                "UInt64",
                "UInt32",
                "UInt32",
                "Float32",
            ]

            return (data, column_names, column_type_names)

    def get_clickhouse_table(self) -> str:
        return "code_binja_strings_raw"