School of CSET Bennett University, India

Reliving the memories from the past, where dreams took flight and success stories began. The countdown begins—just 3 days to go for Convocation 2024. #BennettUniversity #Convocation2024 #ProudMoment #FutureUnfolds #GraduationDay #CampusLife #LifeAtBennettUniversity #TimesNow #Classof2024

Congratulations to Dr Prerna Agarwal (Assistant Professor), Ms. Kashish Bhurani, Ms. Aashna Dogra (B.Tech. #scsetbennett students 2022-26) for acceptance of the #research paper, “Smart Contracts for Ensuring Data Integrity in Cloud Storage with Blockchain” for #publication in EAI Endorsed Transactions on Scalable Information Systems, EAI. Data integrity protection has become a significant priority for consumers and organizations as cloud storage alternatives have multiplied since they provide scalable solutions for individuals and organizations alike. Traditional cloud storage systems need to find new ways to increase security because they are prone to data modification and unauthorized access thus causing data breaches. The main objective of this study is to review the usage of smart contracts and blockchain technology to ensure data integrity in cloud storage. #bennettuniversity #FacultyatBU #DataIntegrity #cloudstorage #Security #Databreaches #SmartContracts #Blockchain

Your Journey, Your Triumph. Witness the proud moments as we honour the Class of 2024 at Bennett University's 6th Convocation. Here's to new beginnings and boundless possibilities. #BennettUniversity #Convocation2024 #ProudMoment #FutureUnfolds #GraduationDay #CampusLife #LifeAtBennettUniversity #TimesNow #Classof2024

Congratulations to Dr. Sneha Mishra (Assistant Professor #scsetbennett) on receiving a UK design patent for her work on "AI-Based Agriculture Drone for Monitoring and Spraying Pesticides." These AI-driven agricultural drones are transforming farming practices through precise monitoring and efficient pesticide application, utilizing cutting-edge technologies such as machine learning, computer vision, and GPS for enhanced agricultural management. #bennettuniversity #FacultyatBU #research #patent

Congratulations to Dr Prerna Agarwal (Assistant Professor #scsetbennett) for acceptance of the #research paper, “Leveraging AI and Blockchain for Privacy Preservation and Security in Fog Computing” for #publication in EAI Endorsed Transactions on Internet of Things, EAI. Cloud computing's offshoot, fog computing, moves crucial data storage, processing, and networking capabilities closer to those needing them. While fog computing has certain advantages, such as improved efficiency and lower latency, it also has some major privacy and security concerns. For these reasons, this article presents a new paradigm for fog computing that uses blockchain and Artificial Intelligence (AI). #bennettuniversity #FacultyatBU #SmartContracts #Blockchain #ArtificialIntelligence #FogComputing #DataStorage #lowerlatency #privacy #Security

Admissions Open at Bennett University for 2025!  We are thrilled to announce that admissions are now open for BTech CSE with 16 Specializations including AI, Data Science, Cloud Computing, Drone Technology, AR/VR, Gaming, DevOps and Full Stack, Cyber Security, Mobile Technology, Blockchain, IoT, Product Development Technology, Quantum Computing, UI/UX, BCA, MCA and MTech CSE. At Bennett University, powered by the legacy of the Times Group, we focus on nurturing innovation, leadership, and excellence. With world-class infrastructure, industry-oriented curricula, and a vibrant campus life, we prepare students to excel in the careers of tomorrow. 🌟 Why Choose Bennett? ✔️ Cutting-edge programs with hands-on learning ✔️ Industry mentorship and collaborations ✔️ State-of-the-art labs with super computing power ✔️ Guaranteed placement assistance ✔️ Dynamic student life and global exposure Apply now and be a part of a transformative educational journey. Scholarships Available based on SAT, 12th Score, JEE Mains Score and many more.. 👉 Visit www.bennett.edu.in to explore programs and start your application today. #BennettUniversity #AdmissionsOpen2024 #UGPrograms #PGPrograms #Engineering

Congratulations to Dr. Pooja . (Assistant Professor #scsetbennett) for acceptance of the #research paper, “A novel three-phase hybrid cryptographic algorithm for data security” for #publication in International Journal of Information Technology (Singapore), Springer. Cryptography is crucial for ensuring data security in wireless sensor networks. The real data is altered or concealed using several hashing techniques before transmission across the network. However, these traditional techniques are not reliable in attaining security at multiple phases in the network. Thus, the given paper proposes a novel Three-Phase Hybrid Cryptographic (TPHC) algorithm that makes use of both symmetric and asymmetric cryptographic methods. It provides authentication and confidentiality using modified Rivest–Shamir–Adleman (RSA), advanced encryption standard (AES), and data encryption standard (DES). To provide integrity, TPHC is additionally paired with a revolutionary hashing method. The proposed hash function adheres to all four of the basic hashing properties: one-way, resistance to second pre-images, collision resistance, and avalanche effect. The results of this study demonstrate that TPHC has a good execution speed and a unique hashing technique that generates reduced message digests as compared with existing hashing algorithms. The TPHC algorithm excels in terms of computation speed, cipher text compactness, digest size, and energy efficiency within WSNs. #bennettuniversity #FacultyatBU #Cryptography #WirelessSensorNetworks #hashing #RSA #AES #DES #MessageDigest #energyefficiency #computationspeed #Ciphertext

DR. SHAHNAWAZ AHMAD (Assistant Professor #scsetbennett), delivered an invited talk on " Software Requirements Elicitation using Goal Oriented Methods” at Indraprastha Institute of Information Sciences (IIIS), Delhi. The talk focused on identifying and analyzing stakeholder objectives to define clear, structured requirements. By aligning system functionalities with business goals, this approach ensures that the product meets both user needs and organizational objectives. It's a strategic way to bridge the gap between what stakeholders want and how software can deliver it effectively. #bennettuniversity #FacultyatBU #invitedtalk #softwarerequirement

Congratulations to Dr. Anita Murmu, Dr. Shipra Swati, Dr. Naween Kumar (Assistant Professors #scsetbennett), and Dr. Yajnaseni Dash (Assistant Professor #schoolofAI) for acceptance of the #conference paper “Deep Learning based encoder-decoder model for skin lesion classification” for #publication in 7th International Conference on Contemporary Computing and Informatics. In the medical field, identifying skin cancerous areas and characteristics in dermoscopy images enhances automatic skin cancer classification and diagnosis. However, due to an absence of training data, imbalanced classes, variances within classes, and a failure to concentrate on semantically significant lesion parts, accurately classifying MCS cancer is still challenging. To address these problems, the proposed novel UNet with MobileNet model has been utilized to divide skin cancer into seven different classes. The MobileNet approach is used as a classifier instead of a UNet decoder to avoid overfitting. Additionally, the expert learning framework based on specific domain functions is implemented by the classification model. #bennettuniversity #FacultyatBU #Medical #skincancer #classification #MobileNet #UNet #DermoscopyImages #diagnosis

Congratulations to Ms. Deepawali Sharma (Assistant Professor #scsetbennett) for acceptance of the #research paper, “TABHATE: A Target-based Hate Speech Detection Dataset in Hindi” for #publication in Social Network Analysis and Mining, Springer. Social media has become a platform for expressing opinions and emotions, but some people also use it to spread hate, targeting individuals, groups, communities, or countries. Therefore, there is a need to identify such content and take corrective action. During the last few years, several techniques have been developed to automatically detect and identify hate speech, offensive and abusive content from social media platforms. However, the majority of the studies focused on hate speech detection in English language texts only. The non-availability of suitable datasets is a major reason for the lack of research work in other languages. Hindi is one such widely spoken language where such datasets are not available. This work attempts to bridge this research gap by presenting a curated and annotated dataset for target-based hate speech (TABHATE) in the Hindi language. The suitability of the dataset is explored by applying some standard deep learning and transformer-based models for the task of hate speech detection. The experimental results obtained show that the dataset can be used for experimental work on hate speech detection of Hindi language texts. #bennettuniversity #FacultyatBU #socialmedia #HateSpeech #offensivecontent #abusivecontent #SpeechDetection #Hindi #deeplearning #Transformerbasedmodels