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         article-type="Research Paper"
         xml:lang="en">
  <front>
    <journal-meta>
      <journal-title-group>
        <journal-title>NFSU Journal of Forensic Science</journal-title>
        <abbrev-journal-title abbrev-type="publisher">nfsujfs</abbrev-journal-title>
      </journal-title-group>
      <issn pub-type="epub">3049-2408</issn>
      <publisher>
        <publisher-name>Prof. (Dr.) Naveen Kumar Chaudhary</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="publisher-id">nfsujfs330058</article-id>
      <title-group>
        <article-title>Detection and Mitigation of Bot-in -theMiddle Attacks Targeting OTP-Based Authentication in Telecom Frauds</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Dutta</surname>
            <given-names>Anouska</given-names>
          </name>
          <xref ref-type="aff" rid="aff1"/>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Khedekar</surname>
            <given-names>Hrishikesh</given-names>
          </name>
          <xref ref-type="aff" rid="aff1"/>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Gundoor</surname>
            <given-names>T.K.</given-names>
          </name>
          <xref ref-type="aff" rid="aff1"/>
        </contrib>
      </contrib-group>
      <aff id="aff1">National Forensic Sciences University</aff>
      <pub-date pub-type="epub" iso-8601-date="2026-09-24">
        <month>09</month>
        <day>24</day>
        <year>2026</year>
      </pub-date>
      <volume>3</volume>
      <issue>4</issue>
      <fpage>43</fpage>
      <lpage>52</lpage>
      <abstract>
        <p>The one-time passwords (OTPs) that are delivered by the use of SMSs have become a very attractive target
of telecom fraud since it can be used as a second line of authentication. OTP Bots are automation-based
interception services that run through Telegram-based Fraud-as-a-Service (FaaS) platforms that have
become a systemic tool of real-time avoidance of multi-factor authentication, caller-ID spoofing, and
abusive number-porting. In this paper, we systematically investigate the OTP bot threat space and make
three main contributions, namely: (i): four-tier taxonomic framework distinguishing between Vishing Bots,
SMS Interception Bots, SIM-Swap Bots, and AI-enhanced hybrid bots; (ii): five-step operational life cycle
model superimposed on the MITRE ATTACK framework; and (iii): a hybrid detection architecture that
uses rule-based analysis in combination with a Random Forest classifier that we tested on 50 thousand
artificial authentication sessions. It has an accuracy of 96.84% and recall of 94.67% as well as a falsepositive rate of 2.9% and a detection latency of 42 milliseconds, which is better than both rule-based and
machine learning-only baselines. Threat-intelligence reports suggest that during the next year, 2023 to
2024, the activity of dark-web OTP bots is expected to increase by 31 per cent each year, and the cost of
services is USD 10-50 per session, and success rates can be up to 90 per cent. It is estimated that artificially
inflated traffic (AIT) contributes to 20% of OTP SMS volume, which implies USD 1.15 billion of
fraudulent charges per year. We offer a tiered mitigation structure that operates on the level of telecom
operators (implementing STIR/SHAKEN, SS7 firewalling, and porting KYC verification), financial
institutions (migration to FIDO2 and reducing the OTP validity window), regulators (attestation
requirements and coordinated takedown), and end users (improved social-engineering awareness). The
evidence indicates that, without reform at the infrastructure level, OTPs, which are based on SMS, do not
currently offer a high enough level of second-factor authentication to prevent the high-assurance
authentication</p>
      </abstract>
      <kwd-group kwd-group-type="author">
        <kwd>OTP Bot</kwd>
        <kwd>One-Time Password Interception</kwd>
        <kwd>Telecom Fraud</kwd>
        <kwd>Fraud-as-a-Service (FaaS)</kwd>
        <kwd>Multi-Factor Authentication Bypass</kwd>
        <kwd>Bot-in-the-Middle Attack</kwd>
        <kwd>SS7 Exploitation</kwd>
        <kwd>SIM Swap</kwd>
        <kwd>Vishing</kwd>
        <kwd>Caller-ID Spoofing</kwd>
        <kwd>STIR/SHAKEN</kwd>
        <kwd>FIDO2</kwd>
        <kwd>Artificially Inflated Traffic (AIT)</kwd>
        <kwd>MITRE ATT&amp;CK</kwd>
        <kwd>Random Forest Classifier</kwd>
        <kwd>Account Takeover (ATO)</kwd>
      </kwd-group>
    </article-meta>
  </front>
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