Titlebook: Security, Privacy and Data Analytics; Select Proceedings o Udai Pratap Rao,Sankita J. Patel,Andrea Visconti Conference proceedings 2022 The

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Network Traffic Classification Using Deep Autonomous Learning Approach, Service (DDoS) attacks is one such threats that deny services to legitimate users. This necessitates a system for classifying DDoS attacks to protect the computing services provided to legitimate users. Recently, deep learning techniques have been proposed to detect DDoS attacks. The existing deep

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DUCE

Privacy Preservation Techniques and Models for Publishing Structured Data,llected data are useful for the development of various applications, business upliftment, providing better services, and to the research firms. However, it is likely to increase the possibility of security breaches and disclosing the private information of users. To take advantage of available data,

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Decentralized Blockchain-Based Framework for Securing Review System,itality, e-commerce, government portals, etc. But, the existing review systems are centralized and bring about a lot of shortcomings in terms of reliability, transparency, and trustworthiness. With this research work, we are trying to address some of the existing lacunae in the current review system

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Hindi Songs Genre Classification Using Deep Learning,epresentation based on the local spatial dependencies from the pre-processed audio (for example, Chroma, Pitch, Mel-spectrogram, and MFCC). The LSTM layer, then, captures the sequential behavior. An attention layer is used to signify the important sub-part in the LSTM output. The best results are obtained using MFCC features.

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Conference proceedings 2022ide range of topics, including big data and analytics, cloud security and privacy, data intelligence, hardware security, network security, blockchain technology and distributed ledger, machine learning for security, and many others. The volume includes novel contributions and the latest developments

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Media House Bias Prediction Using Deep Learning Framework,(LSTM) are used for prediction and give a promising accuracy = 35.69% and 37.99%, respectively. We have taken different types of bias into consideration such as bias by spin and bias by omission. Also, we have considered biasness toward or against different entities such as political parties and leaders.