Now showing items 1067-1086 of 1264

    • SCAMM: detection and prevention of SQL injection attacks using a machine learning approach 

      Alam, Auninda; Tahreen, Marjan; Alam, Md Moin; Mohammad, Shahnewaz Ali; Rana, Shohag (Brac University, 2021-01)
      Importance of cyber-security in protecting our valuable data and information is huge in this era of technology. Since numerous amounts of cyber-attacks take place every day, the development of a more secured system so ...
    • Secure blockchain-based categorical information transaction and depository framework with identification enabled privacy and decentralized system 

      Ony, Shahinul Hoque; Rahman, Suraiya; Albi, Takrim Rahman (Brac University, 2019-12)
      The enormous scale activities of verifying information and data as an advanced resource is being increasingly more looked for after on each progressive year. A large portion of the well famous crypto-stages now-a-days ...
    • Secure data transaction and data analysis of IOT devices using blockchain 

      Muhtasim, Md. Adib; Fariha, Syeda Ramisa; Islam, Nabila; Rashid, Rayhan (BRAC University, 12/24/2017)
      The Internet of Things (IOT) is a network formed by electronic objects which have embedded sensors, software and network connectivity in them. They can collect and exchange and are prone to both cyber-attack and physical ...
    • Secure medical record sharing using blockchain and elliptic curve cryptography 

      Kais, Emrul; Rabbi, Fazle; Adon, Sad Murshid Khan; Chowdhury, Mohibul Hassan (Brac University, 2019-08)
      Medical records contain sensitive data of a person. In our country, different organiza- tions manage medical records in different ways. Since there is no standard procedure for maintaining medical records, the overall ...
    • A secured federated learning system leveraging confidence score to identify retinal disease 

      Eshan, M Sakib Osman; Nafi, Md. Naimul Huda; Sakib, Nazmus; Maruf, Md. Ahnaf Morshed; Emon, Mehedi Hasan (Brac University, 2023-05)
      Federated learning is a distributed machine learning paradigm that enables multiple clients to collaboratively train a global model without sharing their local data. How- ever, federated learning is vulnerable to adversarial ...
    • Secured Internet of Things (IoT) Model using Blockchain 

      Khan, Abdul Muneem; Oni, Fuad Hossain; Omar, Jabed; Noman, MD. Abdullah Al; Jamil, MD. Borhan Uz (Brac University, 2020-12)
      Anything which is connected to the internet is prone to threats. The internet has a saying that, ”There are two types of hacked devices. One which is hacked, and the other one is which does not know that it is hacked”. ...
    • Secured iota enabled micropayment transaction crypto-platform with discretionary mining capabilities and miner nomination based on first-price sealed bid auction theory 

      Amin, H.M Sadman; Rafi, Nakhla; Sufiyan, Zahin; Anjum, Syeda Afrida (Brac University, 2019-12)
      The commercial utilization of cryptocurrency as a digital asset in being more and more sought-after on each successive year. Most of the well renowned cryptoplatforms now-a-days are devised based on the premise of the ...
    • A secured way of keeping medical data efficiently using web farm In the perspective of Bangladesh 

      Hasan, Rakibul; Biswas, Aditya; Touhid, Md. Touhiduzzaman; Jahan, Umme Nusrat (Brac University, 2022-01)
      Bangladesh is a fast developing country and aims to enter the list of developed countries by 2030. With that aim, there are remarkable technological advancements taking place in all sectors, but information technology ...
    • Securing ownership management and transfer of consumer IoT devices with blockchain-based Self Sovereign Identity (SSI) 

      Sakib, Nazmus; Mumu, Marzia Islam; Momo, Nuran Mubashshira (Brac University, 2023-06)
      With the power of automation and connectivity, the use of IoT devices is increasing over the last 10-12 years consistently. IoT devices are taking place in our homes beside industries with the capability of collecting datas ...
    • Security analysis in cognitive radio network 

      Nasnin, Fahia; Islam, Najia (BRAC University, 4/18/2017)
      In wireless communication system Cognitive Radio(CR) is a structure that can gives an intelligent privileges to communicate over internet. Cognitive Radio(CR) intel- ligently allows user to use free spectrum. It is dynamically ...
    • Segmentation based Kidney Tumor Classification using Deep Neural Network 

      Mehedi, Md Humaion Kabir; Haque, Ehteshamul; Radin, Sameen Yasir; Ur Rahman, Md. Abrar (Brac University, 2022-01)
      Kidney disease is one of many severe chronic disease that a person can have. Early detection of this disease can be pivotal for proper treatment. Different neural net works have proven to be useful in disease prediction ...
    • Segmentation of Bangla handwritten text 

      Sadik, Sabbir; Sarwar, Md. Numan (BRAC University, 8/13/2012)
      Segmentation of handwritten text is the pre-process of recognition of handwritten text. Because of skewed lines, touching characters and different writing styles, segmentation of handwritten text is difficult than printed ...
    • Self-driving car: a step to the future of mobility 

      Islam, Mohammad Zahirul; Hannan, Mohammad Abdul; Waliuzzaman, A K M; Ahsan, Ali (BRAC University, 2018-10)
      Self-driving car also known as a driverless car is one of the most surprising technologies of twenty first century. In coming years, autonomous car would definitely take a large market in the developed countries and it ...
    • Self-learning game bot using deep reinforcement learning 

      Ananto, Azizul Haque (BRAC University, 2017-12)
      We present a deep learning model for playing games with high level input (image/raw pixel) using reinforcement learning. The games are action limited (like snakes, catcher, air-raider etc.). The model consists of convolution ...
    • Semantic segmentation of tumor from 3D Structural MRI using U-Net Autoencoder 

      Farzana, Maisha; Any, Md. Jahid Hossain (Brac University, 2020-03)
      Automated semantic segmentation of brain tumors from 3D MRI images plays a significant role in medical image processing. Early detection of these brain tumors is highly requisite for the treatment, screening, diagnosis ...
    • Semantic segmentation with attention dense U-net for lung extraction from X-ray images 

      Auvy, Akib Al Mahmud; Sharif, Shezhan; Chowdhury, Aseer Iqtider; Elahi, Mahbub-E; Mahmud, Washik Al (Brac University, 2023-03)
      "In the diverse field of computer science, deep learning and digital image processing plays a vital role in medical image research. With a deep knowledge on hand, we can make a machine understand any medical documentation, ...
    • Semantic text extraction from CAPTCHA using Neural Networking 

      Chowdhury, Iftekhar Kabir; Jarif, Md. Nahiyan; Showmik, Sadman; Oishi, Farah Farhin; Bin Jinnat, Afif (Brac University, 2022-05)
      CAPTCHA stands for Completely Automated Public Turing Test to distinguish Computers and Humans Apart. CAPTCHA is used for a variety of reasons, includ ing internet security. There are various CAPTCHA methods available ...
    • Semi-automatic building of wordnet for Bangla 

      Roy, Mritunjoy Chandra Saha; Muqtadir, Maruf (BRAC University, 2008-01)
      This paper presents a method for creating a Bangla wordnet, semi-automatically from other source wordnets and Bilingual Dictionaries. The method requires an extensive involvement of Bangla Linguists to make the effort ...
    • Sensor based water quality monitoring system 

      Paul, Bishwajit (BRAC University, 2018-08)
      According to Human Rights Watch, twenty million people in our country are still drinking water contaminated with arsenic. The World health Organization (WHO) has also stated this crisis as "the largest mass poisoning of ...
    • Sentiment analysis for Bangla microblog posts 

      Shaika, Chowdhury; Chowdhury, Wasifa (BRAC University, 2014-01)
      Sentiment analysis has received great attention recently due to the huge amount of user-generated information on the microblogging sites, such as Twitter [1], which are utilized for many applications like product review ...