TY - CHAP
T1 - An Overview of using of Artificial Intelligence in Enhancing Security and Privacy in Mobile Social Networks
AU - Fakhouri, Hussam N.
AU - Alawadi, Sadi
AU - Awaysheh, Feras M.
AU - Hamad, Faten
AU - Alzubi, Sawsan
AU - AlAdwan, Mohammad Naser
N1 - DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.
PY - 2023/9/18
Y1 - 2023/9/18
N2 - Mobile Social Networks (MSNs) have emerged as pivotal platforms for communication, information dissemination, and social connection in contemporary society. As their prevalence escalates, so too do concerns regarding security and privacy. This paper presents a furnishes a detailed analysis of these pressing issues and elucidates how Artificial Intelligence (AI) can be instrumental in addressing them. The study thoroughly explores a spectrum of security and privacy challenges endemic to MSNs, such as data leakage, unauthorized access, cyberstalking, location privacy, and more. Additionally, the investigation expands to encompass problems like impersonation, phishing attacks, malware threats, information overload, user profiling, inadequate privacy policies, third-party application vulnerabilities, and privacy issues related to photos, videos, end-to-end encryption, Wi-Fi connections, and data retention. Each of these issues is dissected in depth, highlighting the potential risks and implications for users. Furthermore, the paper underlines how AI can provide in mitigating these problems, establishing its fundamental role in fortifying the security and privacy of MSNs. This thorough analysis offers valuable insights and feasible solutions using AI to bolster security and privacy in the ever-evolving landscape of Mobile Social Networks.
AB - Mobile Social Networks (MSNs) have emerged as pivotal platforms for communication, information dissemination, and social connection in contemporary society. As their prevalence escalates, so too do concerns regarding security and privacy. This paper presents a furnishes a detailed analysis of these pressing issues and elucidates how Artificial Intelligence (AI) can be instrumental in addressing them. The study thoroughly explores a spectrum of security and privacy challenges endemic to MSNs, such as data leakage, unauthorized access, cyberstalking, location privacy, and more. Additionally, the investigation expands to encompass problems like impersonation, phishing attacks, malware threats, information overload, user profiling, inadequate privacy policies, third-party application vulnerabilities, and privacy issues related to photos, videos, end-to-end encryption, Wi-Fi connections, and data retention. Each of these issues is dissected in depth, highlighting the potential risks and implications for users. Furthermore, the paper underlines how AI can provide in mitigating these problems, establishing its fundamental role in fortifying the security and privacy of MSNs. This thorough analysis offers valuable insights and feasible solutions using AI to bolster security and privacy in the ever-evolving landscape of Mobile Social Networks.
KW - Artificial intelligence
KW - Mobile social networks
KW - Privacy
KW - Security
UR - http://www.scopus.com/inward/record.url?scp=85179504811&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85179504811&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/c6969443-b667-35dd-897f-691c8d866aa1/
U2 - 10.1109/fmec59375.2023.10305886
DO - 10.1109/fmec59375.2023.10305886
M3 - Chapter
AN - SCOPUS:85179504811
SN - 9798350316971
T3 - 2023 8th International Conference on Fog and Mobile Edge Computing, FMEC 2023
SP - 42
EP - 51
BT - 2023 8th International Conference on Fog and Mobile Edge Computing, FMEC 2023
A2 - Quwaider, Muhannad
A2 - Awaysheh, Feras M.
A2 - Jararweh, Yaser
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th IEEE International Conference on Fog and Mobile Edge Computing, FMEC 2023
Y2 - 18 September 2023 through 20 September 2023
ER -