<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="akram-jyoti-2023-revolutionizing">
    <titleInfo>
        <title>Revolutionizing Authentication: Harnessing Natural Language Understanding for Dynamic Password Generation and Verification</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Al-Rumaim</namePart>
        <namePart type="family">Akram</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">D</namePart>
        <namePart type="given">Pawar</namePart>
        <namePart type="family">Jyoti</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2023-12</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the 20th International Conference on Natural Language Processing (ICON)</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">D</namePart>
            <namePart type="given">Pawar</namePart>
            <namePart type="family">Jyoti</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Lalitha</namePart>
            <namePart type="given">Devi</namePart>
            <namePart type="family">Sobha</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>NLP Association of India (NLPAI)</publisher>
            <place>
                <placeTerm type="text">Goa University, Goa, India</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>In our interconnected digital ecosystem, API security is paramount. Traditional static password systems once used for API authentication, face vulnerabilities to cyber threats. This paper explores Natural Language Understanding (NLU) as a tool for dynamic password solutions, achieving 49.57% accuracy. It investigates GPT-2 for dynamic password generation and innovative NLU-based verification using a set of specific criteria and threshold adjustments. The study highlights NLU’s benefits, challenges, and prospects in enhancing API security. This approach is a significant stride in safeguarding digital interfaces amidst evolving Cyber Security threats. Keywords: Cyber Security, Authentication, API Security, Generative AI, Dynamic Passwords, Passwords Verification, NLU</abstract>
    <identifier type="citekey">akram-jyoti-2023-revolutionizing</identifier>
    <location>
        <url>https://aclanthology.org/2023.icon-1.67</url>
    </location>
    <part>
        <date>2023-12</date>
        <extent unit="page">
            <start>670</start>
            <end>678</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T Revolutionizing Authentication: Harnessing Natural Language Understanding for Dynamic Password Generation and Verification
%A Akram, Al-Rumaim
%A Jyoti, D. Pawar
%Y Jyoti, D. Pawar
%Y Sobha, Lalitha Devi
%S Proceedings of the 20th International Conference on Natural Language Processing (ICON)
%D 2023
%8 December
%I NLP Association of India (NLPAI)
%C Goa University, Goa, India
%F akram-jyoti-2023-revolutionizing
%X In our interconnected digital ecosystem, API security is paramount. Traditional static password systems once used for API authentication, face vulnerabilities to cyber threats. This paper explores Natural Language Understanding (NLU) as a tool for dynamic password solutions, achieving 49.57% accuracy. It investigates GPT-2 for dynamic password generation and innovative NLU-based verification using a set of specific criteria and threshold adjustments. The study highlights NLU’s benefits, challenges, and prospects in enhancing API security. This approach is a significant stride in safeguarding digital interfaces amidst evolving Cyber Security threats. Keywords: Cyber Security, Authentication, API Security, Generative AI, Dynamic Passwords, Passwords Verification, NLU
%U https://aclanthology.org/2023.icon-1.67
%P 670-678

Markdown (Informal)

[Revolutionizing Authentication: Harnessing Natural Language Understanding for Dynamic Password Generation and Verification](https://aclanthology.org/2023.icon-1.67) (Akram & Jyoti, ICON 2023)

• Revolutionizing Authentication: Harnessing Natural Language Understanding for Dynamic Password Generation and Verification (Akram & Jyoti, ICON 2023)

ACL

• Al-Rumaim Akram and D. Pawar Jyoti. 2023. Revolutionizing Authentication: Harnessing Natural Language Understanding for Dynamic Password Generation and Verification. In Proceedings of the 20th International Conference on Natural Language Processing (ICON), pages 670–678, Goa University, Goa, India. NLP Association of India (NLPAI).