Efnisyfirlit

• Preface
• Rajiv Ranjan Giri, Richa Indu, Sushil Chandra Dimri Machine learning-enabled techniques for speech categorization
• 1 Introduction
• 2 Recent trends in speech categorization
• 3 Proposed methodology
• 3.1 Categorizing comments
• 3.2 Data acquisition and preprocessing
• 3.3 The proposed algorithm
• 4 Results and discussion
• 4.1 Hijab case (Karnataka)
• 4.2 Boycott movies dataset
• 4.3 Dharamsansad (Haridwar)
• 5 Conclusion
• Akash Dogra, Shiv Ashish Dhondiyal, Sushil Chandra Dimri Comprehensive study of cybersecurity issues and challenges
• 1 Introduction
• 2 Cybercrime
• 3 Cyberspace threats
• 4 Notable recent cybercrime
• 5 Cybersecurity
• 6 Cybersecurity policy
• 7 Future direction
• 8 Conclusion
• Chandrashekhar Patel, Bhanu Priya Yadav, Aditi Saxena An energy-efficient FPGA-based implementation of AES algorithm using HSTL IO standards for new digital age technologies
• 1 Introduction
• 1.1 The Advanced Encryption Standard (AES)
• 1.2 FPGA
• 1.3 HSTL (high-speed transceiver logic) IO standard
• 2 Literature review
• 3 Design methodology
• 3.1 Simulation
• 3.2 RTL analysis
• 3.3 Synthesis
• 3.4 Implementation
• 3.5 Program and debug
• 4 Results and analysis
• 4.1 Computing total power consumption of HSTL_I_18
• 4.2 Computing total power consumption of HSTL_II
• 4.3 Computing total power consumption of HSTL_II_18
• 5 Conclusion
• 6 Future scope
• Bhawnesh Kumar, Ashwani Kumar, Harendra Singh Negi, Ishwari Singh Rajput A comparative study on security issues and clustering of wireless sensor networks
• 1 Introduction
• 1.1 Popular research areas of WSNs
• 1.2 Comparison of clustering objectives and energy consumption of node
• 1.3 Security and privacy issues in WSN
• 2 Critical literature review
• 3 Research gaps identified
• 4 Conclusion
• Deonarain Brijlall, Tauqeer Ahmed Usmani, Richa Indu Heuristic approach and its application to solve NP-complete traveling salesman problem
• 1 Introduction
• 2 Related work
• 3 Techniques and mathematical models
• 3.1 The traveling salesman problem
• 3.2 Nearest neighbor approach
• 3.3 Greedy approach
• 3.4 The proposed heuristic solution
• 4 Results and discussion
• 4.1 Identifying the optimal route of a milk van for 10 houses
• 4.2 Identifying the optimal route of a milk van for 20 houses
• 5 Conclusion
• Megha Shah, Akshay Kumar, Shristi Kharola, Mangey Ram Assessment of fake news detection from machine learning and deep learning techniques
• 1 Introduction
• 2 Literature survey
• 3 Methodology
• 3.1 Natural language processing (NLP)
• 3.2 Machine learning (ML)
• 3.3 Deep learning (DL)
• 3.4 Study framework
• 3.5 Datasets
• 3.6 Data cleaning steps (preprocessing the dataset)
• 3.7 Models utilized in the study
• 4 Results and analysis of datasets
• 4.1 Results for dataset 1
• 4.2 Result for dataset 2
• 5 Conclusion and future work
• Harendra Singh Negi, Aditya Bhatt, Vandana Rawat Spam mail detection various machine learning methods and their comparisons
• 1 Introduction
• 2 Related works
• 3 Purposed work
• 4 Implementation and result
• 4.1 Performance metrics
• 4.2 Time elapsed
• 4.3 AUC-ROC
• 4.4 PR curve
• 5 Conclusion
• Rahul Bijalwan, Vandana Rawat, Akshita Patwal, Sudhanshu Maurya Cybersecurity threats in modern digital world
• 1 Introduction
• 2 Literature review
• 3 Issues in cybersecurity
• 4 Attacks with their classification
• 4.1 Phishing
• 4.2 SQL injection
• 4.3 Brute force attack
• 4.4 Malware
• 4.5 Man-in-the-middle
• 5 Data breaches
• 6 Conclusion
• Parth Gautam, Apurva Omer, Jeetendra Pande, Devesh Bora Mechanism to protect the physical boundary of organization where the private and public networks encounter
• 1 Introduction
• 2 Literature review
• 3 Purpose and objectives
• 4 Overview of private and public networks
• 5 Security considerations for private and public networks
• 5.1 Network segmentation
• 5.2 Segmentation techniques
• 5.3 Use of firewalls and intrusion prevention systems (IPS)
• 5.4 Access control mechanisms
• 5.5 Network access control (NAC) solutions
• 5.6 Physical security measures
• 6 Future trends and considerations
• 7 Conclusion
• Bhawnesh Kumar, Aditya Bhatt, Neeraj Panwar By combining binary search and insertion sort, a sorting method for small input size
• 1 Introduction
• 2 Related works
• 3 Proposed work
• 3.1 Algorithm
• 3.2 Time complexity
• 3.3 In the worst case of binary insertion sort
• 3.4 For average case of binary insertion sort
• 3.5 Time complexity analysis
• 4 Numerical illustration
• 5 Conclusion
• Index