Securing Social Networks in Cyberspace | Agenda Bookshop Skip to content
Age Group_Uncategorized
Age Group_Uncategorized
automatic-update
B01=Al-Sakib Khan Pathan
Category1=Non-Fiction
Category=UB
Category=UBJ
Category=UBL
Category=UDB
Category=UR
Category=URD
Category=UT
Category=UTR
Category=UYF
Category=UYZ
COP=United Kingdom
Covert Channel
Cross-site Scripting
Cross-site Scripting Attack
Cyberbullying Events
Cyberbullying Incidents
Deep Learning Models
Deep Learning Techniques
Delivery_Delivery within 10-20 working days
DP
eq_computing
eq_isMigrated=2
eq_non-fiction
Fake AP
Feature Selection Algorithms
Hate Speech
Huffman Code
Language_English
Latent Dirichlet Allocation
LBS Provider
Machine Learning
Machine Learning Algorithms
Multi-class Classification
PA=Available
Price_€50 to €100
PS=Active
RNN
Rogue Access Point
Social Media Platforms
Social Network Provider
softlaunch
SQL Injection
Unauthorized AP
XSS Attacks
XSS Vulnerabilities

Securing Social Networks in Cyberspace

English

This book collates the key security and privacy concerns faced by individuals and organizations who use various social networking sites. This includes activities such as connecting with friends, colleagues, and family; sharing and posting information; managing audio, video, and photos; and all other aspects of using social media sites both professionally and personally. In the setting of the Internet of Things (IoT) that can connect millions of devices at any one time, the security of such actions is paramount. Securing Social Networks in Cyberspace discusses user privacy and trust, location privacy, protecting children, managing multimedia content, cyberbullying, and much more. Current state-of-the-art defense mechanisms that can bring long-term solutions to tackling these threats are considered in the book.

This book can be used as a reference for an easy understanding of complex cybersecurity issues in social networking platforms and services. It is beneficial for academicians and graduate-level researchers. General readers may find it beneficial in protecting their social-media-related profiles.

See more
Current price €52.99
Original price €55.99
Save 5%
Age Group_Uncategorizedautomatic-updateB01=Al-Sakib Khan PathanCategory1=Non-FictionCategory=UBCategory=UBJCategory=UBLCategory=UDBCategory=URCategory=URDCategory=UTCategory=UTRCategory=UYFCategory=UYZCOP=United KingdomCovert ChannelCross-site ScriptingCross-site Scripting AttackCyberbullying EventsCyberbullying IncidentsDeep Learning ModelsDeep Learning TechniquesDelivery_Delivery within 10-20 working daysDPeq_computingeq_isMigrated=2eq_non-fictionFake APFeature Selection AlgorithmsHate SpeechHuffman CodeLanguage_EnglishLatent Dirichlet AllocationLBS ProviderMachine LearningMachine Learning AlgorithmsMulti-class ClassificationPA=AvailablePrice_€50 to €100PS=ActiveRNNRogue Access PointSocial Media PlatformsSocial Network ProvidersoftlaunchSQL InjectionUnauthorized APXSS AttacksXSS Vulnerabilities
Delivery/Collection within 10-20 working days
Product Details
  • Weight: 453g
  • Dimensions: 178 x 254mm
  • Publication Date: 07 Oct 2024
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Language: English
  • ISBN13: 9780367681753

About

Al-Sakib Khan Pathan is a Professor of Computer Science and Engineering. Currently, he is with the Independent University, Bangladesh as an Adjunct Professor. He received PhD degree in Computer Engineering in 2009 from Kyung Hee University, South Korea and B.Sc. degree in Computer Science and Information Technology from Islamic University of Technology (IUT), Bangladesh in 2003. His research interests include wireless sensor networks, network security, cloud computing, and e-services technologies. Currently he is also working on some multidisciplinary issues.

Customer Reviews

Be the first to write a review
0%
(0)
0%
(0)
0%
(0)
0%
(0)
0%
(0)
We use cookies to ensure that we give you the best experience on our website. If you continue we'll assume that you are understand this. Learn more
Accept