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  <titleInfo>
    <title>Cyber security and digital forensics</title>
    <subTitle>select proceedings of the international conference, ReDCySec 2023</subTitle>
  </titleInfo>
  <name type="personal">
    <namePart>Roy, Nihar Ranjan</namePart>
    <role>
      <roleTerm type="text">editor.</roleTerm>
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  </name>
  <name type="personal">
    <namePart>Tanwar, Sudeep</namePart>
    <role>
      <roleTerm type="text">editor.</roleTerm>
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  </name>
  <name type="personal">
    <namePart>Batra, Usha</namePart>
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      <roleTerm type="text">editor.</roleTerm>
    </role>
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  <genre authority="marc">bibliography</genre>
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    <dateIssued encoding="marc">2024</dateIssued>
    <issuance>monographic</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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  <physicalDescription>
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    <extent>xxiv, 657 pages : illustrations ; 24 cm.</extent>
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  <abstract>The book contains peer-reviewed papers from the International Conference on Recent Developments in Cyber Security organized by the Center for Cyber Security and Cryptology at Sharda University in June 2023. This volume focuses on privacy and secrecy of information, cryptography, applications and analysis, cyber threat intelligence and mitigation, cyber-physical systems, cyber threat intelligence, quantum cryptography and blockchain technologies and their application, etc. This book is a unique collection of chapters from different areas with a common theme and will be immensely useful to academic researchers and practitioners in the industry</abstract>
  <tableOfContents>A low-distortion reversible stenography method that conceals data in images with minimal distortion -- Credit card fraud detection using ML techniques -- An effective model for binary and multi-classification based on RFE and XGBoost methods in intrusion detection system -- ENCRYPTO: a reliable and efficient mobile App for password management -- A survey on path key establishment -- Detection of phishing link using different machine learning techniques -- Secure horizons: advanced protection mechanisms for holographic data storage systems -- Security flaw in TCP/IP and proposed measures -- Static analysis approach of malware using machine learning -- Cyber-attack analysis using vulnerability assessment and penetration testing -- An investigation study on security aspects and authentications schemes for internet of vehicles -- Amharic language hate speech detection using machine learning -- Cloud-based object detection model using amazon recognition -- Ensemble deep model for hate speech detection -- Vitunix: a lightweight and secure linux distribution -- Multi-key fully homomorphic encryption scheme over the integers -- A modest approach toward cloud security hygiene -- Prime Switch-Encryption and Decryption algorithm using RSA -- Hybrid lightweight cryptography using AES and ECC for IoT security -- A survey: analysis of existing hybrid cryptographic techniques -- Identity-based designated verifier proxy signature scheme and its application to health care -- Benefits and challenges of integrating IIoT in smart energy systems -- Blockchain-based secure mutual authentication scheme for drone-GSS communication in internet of drones environment -- SLMA: secure and lightweight mutual authentication scheme for IoT-based healthcare -- Cybersecurity: a deep learning model for intrusion detection in IoT -- Performance analysis of AES and DES algorithm for encrypting medical record using blockchain -- Strengthening cybersecurity: a comparative study of KNN and random forest for spam detection -- -- causes of cyber fraud in commercial banks in Nigeria: a case study of Zenith banks in Abuja -- Object detection using TensorFlow 2 and amazon SageMaker -- Fake news detection using machine learning -- Cloud-based integrated real-time twitter grievance redressal with AWS EC2 and RDS using machine learning approach for enhanced security -- Profanity detection from audio recordings using natural language processing techniques -- Defending against vishing attacks: a comprehensive review for prevention and mitigation techniques -- Categorizing tracing techniques for network forensics -- maIC: a novel deep learning architecture for malware classification -- Cyber thereat intelligence (CTI): an analysis on the use of artificial intelligence and machine learning to identify cyber hazards -- Cyber-attack detection using machine learning techniques -- AE-LSTM: a hybrid approach for detecting deepfake videos in digital forensics -- Chatbot-based android application towards security using FCM -- Accuracy enhancement for intrusion detection systems using LSTM approach -- Enhanced pin entry mechanism for ATM machine by defending shoulder surfing attacks -- Machine learning-based evaluation of financial risks in cryptocurrency -- A review on quantum key distribution protocols, challenges, and its applications -- Vulnerabilities in smart contracts of decentralized blockchain -- A comprehensive study contracts of decentralized blockchain -- A comprehensive study of blockchain technology trends and analysis in the healthcare industry 4.0 -- Web 3.0-based crypto wallet for securing assets and blockchain transactions -- Orphanage channelization system using blockchain technology -- Blockchain-based public distribution system -- Novel architecture and secured food traceability application based on Ethereum blockchain -- Quick response code-based fake product verification system using blockchain technology -- Interactive learning for patient care: blockchain ingrained electronic health record management system with patient control, data quality and security assurance.</tableOfContents>
  <note type="statement of responsibility">edited by Nihar Ranjan Roy, Sudeep Tanwar, and Usha Batra.</note>
  <note>Includes bibliographical references and index.</note>
  <subject authority="lcsh">
    <topic>Computer security</topic>
    <topic>Congresses</topic>
  </subject>
  <classification authority="lcc">QA76.9.A25</classification>
  <classification authority="ddc" edition="23">005.8 C992</classification>
  <identifier type="isbn">9789819998104</identifier>
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