Approved Session
1. Machine Learning Models for Security Applications
Objective of the Session :
This special session is required to explore the different security aspects involved for machine learning applications. There are numerous machine learning models but the concern is how to protect and secure the data used in these models. Machine learning detects threats by
constantly monitoring the behavior of the network for anomalies. Machine learning engines process massive amounts of data in near real time to discover critical incidents. It can predict “bad neighborhoods” online to help prevent people from connecting to malicious websites.
Algorithms can detect never-before-seen malware that is trying to run on endpoints. It can protect data stored in the cloud. Detection of malware in encrypted traffic in common network telemetry is required. Security includes data security, model security, deployment
security and the risks involved due to human factors. Machine learning systems are vulnerable to a variety of dangers. These include model theft, system hijacking, data poisoning, and evasion attacks. Hence the need of the hour is to build machine learning
models that are secure.
Special session organizer(s):
Dr. Srishti Vashishtha
Assistant Professor, Computer Science and Engineering Department
Bharati Vidyapeeth’s College of Engineering (BVCOE), GGSIPU, Delhi
E-mail: srishtidtu@gmail.com
Contact No: 9953812446
2. Recent Advancements in Computational Intelligence and Cyber Security
Objective of the Session :
Our aim is to highlight ongoing research on new and exciting computer paradigms together with their applications in various domains. The new computing paradigms have now invaded and revolutionized every sphere of our life. Computational science is a broad discipline and can be simply referred to the use of computers, networks, storage devices, software, and algorithms to solve problems. The problems can be of various types and categories like: retrieving knowledge, doing simulations, controlling devices, building large databases and many more. Also, it can be defined as a means to gain understanding of science principally through the use and analysis of mathematical models on high performance computers. Computational science draws information from the field of Computer science and Mathematics and provides solutions to scientific or engineering problems. Cyber Security utilizes computational science algorithms to secure the computer systems in this Internet era. The session invites research papers to discuss the applications of various computational science technologies and cyber security in real life and how these applications can make the life better.
Session Chair: Dr Vasudha Arora
Designation: Professor
Affiliation: Sharda University, Greater Noida
E-mail: vasudharora6@gmail.com
Contact No: 9999885200
Session Co-Chair: Dr Anupama Pankaj
Designation: Professor
Affiliation: Manav Rachna International Institute of Research and Studies, Faridabad
E-mail: anupama.sca@mriu.edu.in
Contact Number: 9818856542
3. Cyber Security in Social Networks
Objective of the Session :
In recent years, the proliferation of social networks has transformed the way individuals communicate, collaborate, and conduct business. However, this increased connectivity also brings significant cybersecurity challenges. Social networks serve as fertile grounds for various cyber threats including data breaches, identity theft, phishing attacks, malware dissemination, and misinformation campaigns. The exponential growth of users and the vast amount of personal data shared on these platforms make them lucrative targets for malicious actors.
The objective of this special session is to probe into the multifaceted landscape of cyber threats in social networks and explore effective strategies to enhance cybersecurity measures. By bringing together researchers, academicians and industry experts, the session aims to facilitate knowledge exchange, identify emerging trends, and foster collaboration in combating cyber threats in social media environments.
Key topics to be addressed in the session include:
- Cyber threat landscape in social networks.
- Impact of social engineering tactics on user behavior and security.
- Role of AI and ML in detecting and mitigating cyber threats.
- Discovery of fraudulent content in Social network
- Innovative approaches for securing user data and privacy.
- Misinformation, fake accounts, deep fake and online manipulation.
- Crisis management in the event of a cyber-attack.
- Cyber security dark web.
Special session organizer(s):
- Neetu Sardana
Jaypee Institute of Information Technology, Sector 62, Noida,
neetu.sardana@mail.jiit.ac.in - Dr. Deepika Varshney
Jaypee Institute of Information Technology, Sector 62, Noida,
deepika.varshney@mail.jiit.ac.in.
4. AI powered Deep learning approaches for next-generation intrusion detection systems
Objective of the Session :
The aim of this specialized session is to offer a platform for researchers, industry experts and practitioners to explore the most recent progress, challenges and prospects in understanding and utilizing AI-driven Deep leaning models for next-generation intrusion detection systems. The following will be included as key objectives:
Knowledge Exchange: Assist the exchange of information about state-of- art research findings, latest practices in development and deployments of AI-driven Intrusion detection systems.
Innovative solutions: Present innovative solutions, models and algorithms utilizing deep learning models like RNNs, CNNs, autoencoders etc. to provide improved IDS.
Real world applications and performance evaluation: Exploring the practical scenario and case studies to illustrate the effectiveness of utility of AI-Powered deep learning in security of various sectors such as networks, IoT, cloud computing etc. Furthermore, investigation of methodologies for evaluating performance scalability and robustness of the AI-driven models for IDS in various domains.
Security concerns: Discuss the privacy and security concerns associated with AI-driven IDS.
Special session organizer(s):
- Prof.(Dr.) G S Pradeep Ghantasala Professor,
Department of Computer Science and Engineering,
Alliance University, Bengaluru, India
ggspradeepdeepika.varshney@mail.jiit.ac.in@gmail.com
9642336671 - Dr. Kumar DilipAssociate Professor, Department of Computer Science and Engineering,
Alliance University, Bengaluru, India
kumardilip25@gmail.com
8826910889
5. Smart and Green Computing Enabled Communication Technologies
Objective of the Session :
Smart and green computing-enabled communication technologies represent a transformative approach towards sustainable and efficient digital communication systems. These technologies integrate intelligent algorithms and energy-efficient hardware desig ns to optimize resource utilization while minimizing environmental impact. Through techniques such as dynamic resource allocation, adaptive networking protocols, and low-power consumption components, smart and green computing not only enhances the performance and reliability of communication networks but also reduce carbon footprints and energy consumption. By harnessing the power of renewable energy sources and adopting eco- friendly practices, these technologies pave the way for a more sustainable and environmentally conscious digital infrastructure, aligning technological advancements with global efforts towards mitigating climate change.
Special session organizer(s):
- Dr. Shobha Tyagi
Associate Professor
Department of Computer Science & Engineering
Manav Rachna International Institute of Research & Studies
Faridabad, Haryana
E-mail: Tyagishobha.set@mriu.edu.in
Contact No: 9820456140 - Dr. Pronika Chawla
Assistant Professor
Department of Computer Science & Engineering
Manav Rachna International Institute of Research & Studies
Faridabad, Haryana
E-mail: Pronika.set@mriu.edu.in
Contact No: 97173 85876
6. Emerging Technology Dimension & Applications
Objective of the Session :
In today’s transformative business environment, emerging technology has a decisive role to play in an organization’s innovations, customer experience, and overall success. While business leaders have the greatest insight about the organization’s needs and objectives (and likely have new ideas on how to achieve those objectives), the CIO has the greatest knowledge of what is possible along with an understanding of emerging technologies and how they can be used. Emerging technologies such as artificial intelligence (AI), machine learning (ML), augmented reality (AR), the Internet of Things (IoT) and quantum computing can help organizations scale on demand, improve resiliency, minimize infrastructure investments, and deploy solutions rapidly and securely. These technologies can help companies create powerful transformations to drive revenue and outshine the competition. Combining the insights of business leaders with the technical expertise of the CIO leads to synergistic decision-making that differentiates organizations and brings prized marketplace disruption.
Special session organizer(s):
- Session Chair: Dr. Kanta Prasad Sharma,
Assistant Professor – GLA University Mathura
E-mail: tokpsharma@gmail.com
Contact No +919760207629 - Session Chair: Dr. Munmi Gogoi,
Assistant Professor- GLA University Mathura
E-mail: munmi.gogi@gla.ac.in
Contact No: +919101034051