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@article{186504,
        author = {Akshata Puthran and Vidhya Paradkar and Nikita Mandwal},
        title = {Data Leakage Detection Using Cloud},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {12},
        number = {no},
        pages = {298-301},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=186504},
        abstract = {The transmission of data from an organization to unauthorized parties to external source is known as data leakage. This is a major problem faced by many people nowadays. The needs to be safeguarded and secured and provide the expected service to the user. We propose ‘Data Leakage Detection using Cloud’ that offers various advantages, such as the ability to leverage advanced technologies like Machine Learning and Big Data Analytics, and algorithms such as Intrusion Detection System (IDS), Anomaly Detection, Digital Rights Management and Cloud Access Security Brokers (CASB). Cloud-based data leakage detection systems can provide real-time alerts to notify users of any suspicious activities. This allows the user for immediate action to mitigate potential data breaches. These solutions can be easily integrated with existing IT infrastructure and applications, making it easier to implement comprehensive data leakage detection and prevention strategies. One can utilize machine learning, and AI algorithms to analyze vast amounts of data and identify patterns that may indicate data leakage.},
        keywords = {Anomaly Detection, AI algorithms, Cloud, Data Leakage, Encryption, Intrusion Detection System (IDS), Machine Learning.},
        month = {},
        }