Cite this DOI

Moola.Akshitha, M. (2023). Effective And Efficient Detection Of Phishing Emails Using Machine Learning. *Journal of Science & Technology*, *8*(7), 158–162. https://doi.org/10.46243/jst.2023.v8.i06.pp158-162

@article{moolaakshitha2023effective,
  author    = {Moola.Akshitha, Moola.Akshitha},
  title     = {{Effective And Efficient Detection Of Phishing Emails Using Machine Learning}},
  journal   = {Journal of Science \& Technology},
  year      = {2023},
  month     = {aug},
  volume    = {8},
  number    = {7},
  pages     = {158--162},
  publisher = {Longman Publishers},
  issn      = {2456-5660},
  doi       = {10.46243/jst.2023.v8.i06.pp158-162},
  url       = {https://doi.org/10.46243/jst.2023.v8.i06.pp158-162},
  language  = {en},
  abstract  = {Emails are widely used for personal and professional communication,often involving the transmission of sensitive information like banking details,credit reports,and login data.Consequently,these emails become valuable targets for cyber criminals who seek to exploit such knowledge for their own malicious purposes.Phishing, a deceptive technique employed by these individuals,involves impersonating well-known sources to deceive and extract sensitive information from unsuspecting individuals.The sender of a phishing email uses false pretenses to persuade recipients into disclosed personal information.In this work,the detection of phishing emails is learning methods to categorize emails as either genuine or phishing attempts.LMT classifiers have proven highly effective in accurately classifying emails,achieving optimal accuracy in email classification tasks.}
}

TY  - JOUR
TI  - Effective And Efficient Detection Of Phishing Emails Using Machine Learning
AU  - Moola.Akshitha, Moola.Akshitha
JO  - Journal of Science & Technology
PY  - 2023
DA  - 2023/08/07/
VL  - 8
IS  - 7
SP  - 158
EP  - 162
PB  - Longman Publishers
SN  - 2456-5660
LA  - en
AB  - Emails are widely used for personal and professional communication,often involving the transmission of sensitive information like banking details,credit reports,and login data.Consequently,these emails become valuable targets for cyber criminals who seek to exploit such knowledge for their own malicious purposes.Phishing, a deceptive technique employed by these individuals,involves impersonating well-known sources to deceive and extract sensitive information from unsuspecting individuals.The sender of a phishing email uses false pretenses to persuade recipients into disclosed personal information.In this work,the detection of phishing emails is learning methods to categorize emails as either genuine or phishing attempts.LMT classifiers have proven highly effective in accurately classifying emails,achieving optimal accuracy in email classification tasks.
DO  - 10.46243/jst.2023.v8.i06.pp158-162
UR  - https://doi.org/10.46243/jst.2023.v8.i06.pp158-162
ER  -

{
    "type": "article-journal",
    "id": "10.46243/jst.2023.v8.i06.pp158-162",
    "DOI": "10.46243/jst.2023.v8.i06.pp158-162",
    "URL": "https://doi.org/10.46243/jst.2023.v8.i06.pp158-162",
    "title": "Effective And Efficient Detection Of Phishing Emails Using Machine Learning",
    "source": "Smart Scholars DOI Registry",
    "container-title": "Journal of Science & Technology",
    "author": [
        {
            "family": "Moola.Akshitha",
            "given": "Moola.Akshitha"
        }
    ],
    "issued": {
        "date-parts": [
            [
                2023,
                8,
                7
            ]
        ]
    },
    "volume": "8",
    "issue": "7",
    "page": "158-162",
    "publisher": "Longman Publishers",
    "language": "en",
    "abstract": "Emails are widely used for personal and professional communication,often involving the transmission of sensitive information like banking details,credit reports,and login data.Consequently,these emails become valuable targets for cyber criminals who seek to exploit such knowledge for their own malicious purposes.Phishing, a deceptive technique employed by these individuals,involves impersonating well-known sources to deceive and extract sensitive information from unsuspecting individuals.The sender of a phishing email uses false pretenses to persuade recipients into disclosed personal information.In this work,the detection of phishing emails is learning methods to categorize emails as either genuine or phishing attempts.LMT classifiers have proven highly effective in accurately classifying emails,achieving optimal accuracy in email classification tasks.",
    "ISSN": "2456-5660"
}

From the record as registered (version 2) — the record and its history. Programs: https://registry.smartscholars.in/api.php?action=cite&doi=10.46243%2Fjst.2023.v8.i06.pp158-162 gives all four in one JSON answer.