• DocumentCode
    2188343
  • Title

    Cloud based emails boundaries and vulnerabilities

  • Author

    Ayodele, Taiwo ; Adeegbe, Dennis

  • Author_Institution
    Inf. Intell., Infonetmedia, Portsmouth, UK
  • fYear
    2013
  • fDate
    7-9 Oct. 2013
  • Firstpage
    912
  • Lastpage
    914
  • Abstract
    Since there is significant increase in adoption of cloud computing, securing users emails is also a growing concern. This paper reviews the boundaries, privacy, vulnerabilities, varying legislations of cloud based emails, and how to mitigate such to provide reliable and secure cloud based email services for users and organizations. We propose a new framework to improve security of cloud based email messages: Intelligent Cloud Based Email Encryption and Decryption System (ICLEEDS). The goal is to encrypt content of email mail messages from users´ mail box before being sent. The intelligent machine learning encryption system helps to protect users against email interception, re-construction, phishing attacks, relaying of previous messages, spoofing, eavesdropping and provide high level of privacy.
  • Keywords
    cloud computing; cryptography; data privacy; electronic mail; learning (artificial intelligence); ICLEEDS framework; cloud based email messages; cloud based email services; cloud computing; electronic mail; email boundaries; email interception; email legislations; email re-construction; email vulnerabilities; intelligent cloud based email encryption and decryption system; intelligent machine learning encryption system; phishing attacks; privacy level; Cloud computing; Electronic mail; Encryption; Google; Postal services; Privacy; Cloud based email; Email messages; Intelligent cloud based email encryption and decryption; cloud computing; eavedropping; email Vulnerabilities; email privacy; email security and privacy; email services; secured cloud based email messages;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Science and Information Conference (SAI), 2013
  • Conference_Location
    London
  • Type

    conf

  • Filename
    6661850