The Center for Computational Engineering and Networking (CEN), Amrita Vishwa Vidyapeetham, organized a workshop on Blockchain and Machine Learning, Blockchain 2017, on December 16, 2017.
About Blockchain 2017
The AISec (Artificial Intelligence for CyberSecurity) group in the Computational Engineering and Networking (CEN) department at Amrita Vishwa Vidyapeetham, organized the workshop. The workshop covered the topic Blockchain technologies including Machine Learning. The main aim of this workshop was to share the ideas of on-going research and exploratory topics, leading to possible collaborations between CEN faculty, Ph. D. research scholars, and students.
A blockchain is a distributed ledger for recording transactions, maintained by many nodes without central authority through a distributed cryptographic protocol. It is a technology suitable for decentralized and transactional sharing of data across a large network of untrusted participants. Blockchain uses consensus protocol to validate the information to be appended and also ensures that the nodes agree on a unique order in which entries are appended. Blockchain has good potential to transform the logging and management of transactions in different application areas. This technology is successfully used in Bitcoin virtual currency and it also has good potential in non-financial sectors such as Governance, healthcare, cybersecurity, automobiles, media, travel, hospitality, energy, smart cities etc.
Machine learning has connected different applications. There are many profound applications of blockchain and machine learning. In a shared ledger system, there are two patterns of machine learning use cases:
- Silo machine learning and predictive models addressing a particular segment of the chain
- Model chains addressing a segment or the whole chain
The silo machine learning or predictive model is no different from what we do today with data at hand. Model chains are more complex since they must learn and adjust on the fly given chain dependence. The workshop explored the possibility of integrating blockchain technology and machine learning.
The aim of this workshop was to bring together researchers and practitioners working in machine learning, cryptography, and security, from academia and industry, who are interested in the technology and theory of blockchains and their protocols. The workshop also highlights the possibility of integrating machine learning and blockchain. The primary target audience of the workshop were MTech students, research scholars, and faculty. The workshop also had an interactive session, with a free exchange of ideas, views, and comments.
AISec group at CEN understand the underlying mathematics knowledge required to apply Machine learning to Cybersecurity tasks at Scale
The ability to digitalize our lives has outpaced our ability to stay safe. One of the biggest challenges is to understand the volume, velocity, and complexity of threatening activity inside the network. We call this cyber intelligence. We have been developing a self-learning intelligence system by understanding the mathematics and using the most advanced machine learning technologies such as deep learning. A self-learning intelligence system learns a unique pattern of normal and abnormal activities of every device and user on a network and correlates these insights in order to spot emerging threats that would otherwise go unnoticed. AISec group is fortunate to have Cybersecurity experts and Researchers who have constantly smell the developments in Natural language processing, image processing, Speech recognition and many other areas and incorporate those novel approaches to self-learning system to enhance the system detection rate of malicious activities. We are involved in developing large scale Security projects that involve Big-data Security Intelligence, Cyber-Physical systems security, Machine learning for Security, Complex Binary analysis, IoT, SCADA and Hardware security, Application & Network security, Advanced Forensics and Incident Handling. Some of the tasks that we think and solve daily are to apply various Data mining, Machine learning and Deep learning approaches to various cybersecurity tasks such as Traffic Analysis, Intrusion detection, Malware Analysis, Botnet Analysis, Anonymity Services, Domain Generation Algorithms, Advanced mathematics to Crypto Systems.
Venue: Murlikrishna hall, CIR Block
||Title of the Talk
||Mr. Vijay Krishna Menon
||Basics of Bitcoin and Blockchain
||Mr. Rohith Mohan, working in Caterpillar
||Understanding Blockchain Technologies with Python
||Mr. Bithin Alangot, PhD student at Amrita Vishwa Vidyapeetham
||Evolution of Blockchain Consensus Protocol
||Mr. Vinayakumar R (Research Scholar) and Mr. Harikrishnan N. B. (MTech-CEN)
||Demo: Blockchain and It's Applications. Frameworks: TensorFlow, Theano, Keras, Scikit-learn, Node.js Programming languages : Java and Python, Packages: Numpy, Scipy, Pandas, Matplotlib, t-SNE, NLTK