@article{MAKHILLAJIT20171666670,
    title = {Coalition Technique Protecting Cloud Storage by Shielding it Against Intrusion},
    journal = {Asian Journal of Information Technology},
    volume = {16},
    number = {6},
    pages = {544-551},
    year = {2017},
    issn = {1682-3915},
    doi = {ajit.2017.544.551},
    url = {https://makhillpublications.co/view-article.php?issn=1682-3915&doi=ajit.2017.544.551},
    author = {D. and},
    keywords = {Coalition technique,intermediary system encryption,data assimilation method,armored database,dual mode approach,malfunctioning},
    abstract = {Protection of cloud stored data from the intruders by providing shield for the cloud data before any
attackers intended for attack. We here present access to data in cloud with legitimate cloud control for clients
by increasing its reasonable security concerns. Security focusing on access control strategy conveys data
identity established techniques for encryption. Thus, in our approach we propose coalition technique for
securing data in dual way mode. It involves the procedure of encrypting the entire data of an individual in an
intermediary system and then storing them in cloud database by assimilating any two individual data together.
It thus, provides dual methodology for assuring security over cloud database and provide armored database.
Coalition technique is the combination of dual methods that primarily encrypts the data strongly with any
imposed algorithm arbitrarily chosen by the intermediary system and then that data will be merged with another
encrypted data of any other individual storage in cloud and will be set flag that can only be known to the
intermediary system. Coalition technique is the influential approach for securing cloud from unexpected attacks
before it could happen. Our proposed approach armors the chaos of conquering security after the attack
happens. Rather than securing after malfunctioning we could create an unbreakable security wall before the
intrusion occurs. So, even if the attacker intrudes and extracts data they could have no beneficial data.}
    }