Optimized data hiding based steganography approach to secure the confidential information in smart grid
The standard electrical power grid is integrated with information and communication technologies in a smart grid (ICT). Such integration empowers electrical utility providers and consumers to increase the efficiency and availability of the power system and allows customers' needs to be continually monitored, controlled, and managed. A smart grid is a massive, complicated network made up of millions of linked objects and organizations. With such a large network comes a slew of security problems and flaws. Cryptography and steganography algorithms have been applied to give security in SG. The steganography algorithm hides the important data in the cover media to provide imperceptibility to the attacker. Image is the most essential cover media in steganography. The least significant bit (LSB) method is used to hide the confidential information in the cover image. The hiding process provides variability in the cover image. In this paper, an optimized data hiding method is proposed to reduce the variability. The proposed method has two phases. In the first phase, the confidential information bits are matched with LSB bits of a cover image pixel. For matching purposes, an original or complemented form of confidential information bits is matched with cover image pixel and if a match is found then the index is determined. In the second phase, the indexes are hidden in the cover image in an optimal way using the JAYA optimization algorithm. The optimization algorithm searches the optimal starting point in the cover image for index hiding. After searching the optimal starting pixel, hide the index using the k-bits LSB method. The proposed method is simulated in MATLAB and performance analysis is done using various parameters. The simulation outcomes represent that the presented method is better than existing methods.
Published by: Angrej Singh, Puneet Jain
Author: Angrej Singh
Paper ID: V7I6-1292
Paper Status: published
Published: December 15, 2021
BārahMāha and Sṛṅgāra Rasa : Seeking Union With God
BārahMāha, as the title unfolds, is the description of twelve months in which the emotions and yearnings of the human heart are expressed in terms of the changing moods of Nature over the twelve months of the year. In it, the mood of Nature in each month depicts human soul longing for union with God, the way a woman longs her spouse or lover. Here the human soul the protagonist which suffers in the cesspool of transmigration as a result of its separation from the Supreme Soul. The present paper aims at hatching the graph of the journey of human soul, depicting the pangs of separation of the bride through twelve months, i.e., the human soul separated from her Divine Essence in the light of śṛngārarasa. Following the footsteps of Guru Nanak, Guru Arjan also adopted the folk poetry style for his compositions. Present paper elaborates the Guru Nanak’s BārahMāha.
Published by: Balvinder Kaur
Author: Balvinder Kaur
Paper ID: V7I6-1286
Paper Status: published
Published: December 14, 2021
Famous cyber attacks in the history of cyber security
As we move forward toward technology and digitization, we have witnessed a frequent rise in Cyber Attacks resulting in various data leaks. Cyber Attackers are capable of keeping their identity hidden and staying low while gaining access to the data. To avoid all this we require to carry a full-fledged analysis of different types of cyberattacks for the purpose of educating people and making them aware of different types of cyber-attacks that exist and secure their data. In this research paper, I will analyze the most famous cyber attacks in the history of cyber-security: WannaCry Ransomware, Nasa Cyber-attack, Estonia Cyber-Attack, Sony Pictures Cyber-attack, Melissa Virus Cyberattack, etc.
Published by: Zaid Ahmad Rather
Author: Zaid Ahmad Rather
Paper ID: V7I6-1281
Paper Status: published
Published: December 14, 2021
Energy management in smart grid using hybrid combination of bat and particle swarm optimization algorithm
In order to implement the increasing rate of demand in the residential sector and also that to facilitate the overall integration of the renewable resources and that the plug-in of the electrical set of vehicles within the future if the smarter grids. This particular set of papers proposes a proper set of framework for the home energy management system or the HEMS and that of the optimizations of the algorithms which is based upon the hybrid combination of BAT and PSO algorithm. The simulation is performed in MATLAB and various performance metrics are calculated for it. The result shows that the proposed method reduces 76.04% and 55.31% cost factor as compared to the actual load for 3 and 5 devices. Further, the proposed method reduces 59.81% and 38.59% cost factors as compared to Sisodiya et al. [12].
Published by: Harjeet Singh, Puneet Jain
Author: Harjeet Singh
Paper ID: V7I6-1262
Paper Status: published
Published: December 14, 2021
An enhanced artificial neural network model for short term load forecasting in smart grid
Accurate short-term load forecasting in the power system may efficiently cut power generating costs while also improving the system's economic and environmental advantages. ARIMA Model, Parameter Regression Model, Kalman Filter Model, and other traditional short-term power demand forecasting methods are examples. Short-term load forecasting of power systems has become commonplace, thanks to the fast advancement of computer technology and the widespread application of AI technologies in the power sector. In this paper, we have designed a short-term load forecasting model using an enhanced ANN. The ANN model is enhanced by determining the optimal weights it using a hybrid combination of the optimization algorithm. In our work, we have hybrid the firefly and PSO algorithm. The performance analysis of the presented model is done to show its effectiveness over the existing models in MATLAB using various parameters.
Published by: Prabhjot Singh, Puneet Jain
Author: Prabhjot Singh
Paper ID: V7I6-1263
Paper Status: published
Published: December 14, 2021
Alternate hot and cold compress, short-term Intervention for knee Osteoarthritis
Background Humans residing with knee osteoarthritis (OA) generally present with the problem of strolling lengthy distances, ascending and descending stairs, or standing from sitting. those practical boundaries have been shown to have a poor effect on their typical activities of each day living. Intention: The look aimed to evaluate the impact of hydrotherapy on pain, features, and muscle function in knee osteoarthritis. Approach: A total of 18 members with persistent knee OA participated in this look. members finished 4 weeks of hydrotherapeutic intervention. Final results measures for the have a look at covered pain assessed using the visual analog scale (VAS) and self-perceived functional status the usage of the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC). outcome measures have been assessed at baseline and after the 4 weeks of intervention. Results: The four-week hydrotherapy application led to a substantial lower in pain and large development in self-perceived purposeful popularity in all participants. There was a statistically massive suggestion lower in VAS rankings, there was also a statistically massive mean lower in WOMAC scores. Conclusion: This observes established that a four-week change warm and cold compress outcomes in drastically decreased ache and progressed self-perceived useful fame in people dwelling with knee OA.
Published by: Abhilash S. C., Kavya T., Aarthi Nivetha
Author: Abhilash S. C.
Paper ID: V7I6-1264
Paper Status: published
Published: December 13, 2021
