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TSPBD 2021 : Book title: Trust, Security, and Privacy for Big Data | |||||||||
Link: https://sites.google.com/view/callforbookchapters-cybersec/home | |||||||||
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Call For Papers | |||||||||
Book title: Trust, Security, and Privacy for Big Data
Publisher: CRC Press Editors: Alazab & Gupta (2021) Description The volume of data in the world is increasing exponentially, also has revolutionized the current digital ecosystem. The readily available large datasets foster AI and machine learning automated solutions. However, the data format and its collection from various sources not only introduce unprecedented challenges to different domains including IoT, manufacturing, smart cars, power grids etc, but at the same time highlights the security and privacy issues in this age of big data. One of the serious side effects of the digital age and big data is the growing risk in terms of Trust, Security and Privacy. Many big data tools are open source and not designed with security in mind. The huge increase in big data leads to many data security concerns, as big data can enable “invasions of privacy and trust. Big Data is changing cyber security analytics by providing new tools and opportunities for leveraging large quantities of structured and unstructured data. The humongous scale of extraordinary scale, security and privacy in big data faces many challenges, such as generative adversary networks, efficient encryption and decryption algorithms, encrypted information retrieval, attribute-based encryption, attacks on availability, and reliability. Big data provide a deeper understanding and better decision making based on largely collected and available operational data, hence, data security is cruital. The scope of this book is on how Big Data can improve cyber security best practices., i.e. safeguard confidentiality and security of sensitive personal information, as well as the integrity of data. The purpose is to offer a timely venue for researchers and industry partners in communications and networking domains to present and discuss their latest results in security and privacy-related work of big data. Suggested Topics Submissions are solicited on the following topics, but not limited to: Visualization in Big Data and Data Science Virtualization of Resources in Clouds Deep NLP (natural language processing) Regularization and Optimization Techniques Forward and Backward Propagation Effective feature embedding Neural networks for graphs Generative adversarial networks Restricted Boltzmann Machine Deep reinforcement learning Relational modeling and prediction Semantic knowledge-bases Neural abstract machines and program induction Deep learning architectures Performance metrics Model Selection and Forward and Backward Propagations Regularization and Optimization Techniques Convolutional Networks Recurrent Neural Networks Fuzzy hashes and logic Big Data Framework and Tools Popular Frameworks Popular Tools for quick prototyping Deep Learning with GPUs Deep Learning in the Cloud Bigdata for Security Malware identification, analysis and similarity Representation and detection of social engineering attacks Botnet identification and detection Intrusion detection and response Spam and phishing detection Classification of sequences of system/network events Security in social networks Application of learning to computer forensics Program representation Learning in adversarial environments Web Application Security, Privacy, Trust and Safety Mobile Computing, Internet of Things (IoT) Cloud, Apps and Services, and their Security Big Data architectures for network security Detecting data and information leakage Big Data and Cloud Computing Big Data and IoT on the Cloud IoT Services and ApplicationsSecurity, Privacy and Trust in IoT Big Data Management Cloud Computing Platforms, Applications and Management Cloud Security and Privacy Management Mobile Cloud Computing Data Storage in Clouds Important Dates 20 Mar 2021 — Deadline 1 Apr 2021 — Manuscript delivery to the publisher Book Panel Advisors Dr. Feras Awaysheh (University of Edinburg) Dr. Smriti Bhatt (Texas A&M San Antonio) Dr. Sudip Mittal (UNCW) Dr. Mahmoud Abdelsalam (Manhattan College) Dr. Yuan Cheng (CSU) Dr. Amro Awad (North Carolina State University) Dr. Thippa Reddy G (Vellore Institute of Technology) Dr. Mohannad Alhanahnah (University of Wisconsin-Madison) Dr. Izzat Ismadi (Texas A&M University-San Antonio) Dr Ravi Vinayakumar (Prince Mohammad Bin Fahd University) Dr. Keping Yu ( Weseda University) Manuscript guidelines and submission: Use A4 page with 1 inch (or, 2.54 cm) margin on all sides, single column format, 1.5 line spacing with 10 point sized font, Times New Roman. References should be cited within the text with numbers in sequence like [1], [2], [3], .... An all-in-one PDF file may be submitted for the initial version. If the chapter is accepted, formatting style provided by CRC Press must be followed and Editable files for text (Tex / MS-Office file (doc, docx)) must be supplied. The submission Web page is: https://easychair.org/conferences/?conf=tspbigdata21 Contact Information: Assoc/ Prof Mamoun Alazab: Charles Darwin University, Australia. alazab.m@ieee.org Dr. Maanak Gupta: Tennessee Technological University, USA. mgupta@tntech.edu |
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