Secure Contact Agreement Protocol for Messenger Services Through Randomized ID Assignments

Michael Maigwa Martin Kangethe; Elisha Odira Abade

doi:doi:10.11648/j.mcs.20220701.12

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Secure Contact Agreement Protocol for Messenger Services Through Randomized ID Assignments

Michael Maigwa Martin Kangethe, Elisha Odira Abade

Published in Mathematics and Computer Science (Volume 7, Issue 1)

Received: 27 January 2022 Accepted: 23 February 2022 Published: 4 March 2022

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Abstract

Messenger services have over the recent decade been the most dominant, ubiquitous, and widespread form of communication globally. While the service has evolved to enable reliable real-time communication between people across different technologies, there have been privacy and security concerns that were initially remediated by implementing TLS/SSL and E2E Encryption as a standard. However, new privacy challenges and security gaps have been identified and exploited through the capture and analysis of communication traffic metadata. These methods exploit the use of readily available advanced machine learning and data mining algorithms to identify users’ communication networks and patterns without reading the actual messages sent between end-users just by analyzing readily available metadata such as the sender and receiver IDs, time sent, and communication frequency. To close these gaps the need to anonymize users’ communications while maintaining reliable contact with each other is necessary. Randomized anonymization of metadata parameters can ensure it becomes nearly impossible for current analytics algorithms to identify user patterns from communication traffic over time. Also, to guarantee seamless communication between users with changing identities there needs to be a real-time contact exchange protocol enabling users to randomly change their IDs and secretly inform other users in their contacts without the physical intervention or involvement of the human user. This research paper proposes a solution through the use of a randomized contact reassignment and exchange protocol by using the PKI encryption protocol to share its new identity with its existing contacts defeating the creation of traceable logs over time.

Published in	Mathematics and Computer Science (Volume 7, Issue 1)
DOI	10.11648/j.mcs.20220701.12
Page(s)	9-17
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2022. Published by Science Publishing Group

Keywords

CID, PKI Shared Secret, E-2-E End to End, D-2-D Device to Device, MQTT, XMPP, Metadata, Protocol,Contact Configuration Message, IoT Communications

References

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APA Style

Michael Maigwa Martin Kangethe, Elisha Odira Abade. (2022). Secure Contact Agreement Protocol for Messenger Services Through Randomized ID Assignments. Mathematics and Computer Science, 7(1), 9-17. https://doi.org/10.11648/j.mcs.20220701.12

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ACS Style

Michael Maigwa Martin Kangethe; Elisha Odira Abade. Secure Contact Agreement Protocol for Messenger Services Through Randomized ID Assignments. Math. Comput. Sci. 2022, 7(1), 9-17. doi: 10.11648/j.mcs.20220701.12

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AMA Style

Michael Maigwa Martin Kangethe, Elisha Odira Abade. Secure Contact Agreement Protocol for Messenger Services Through Randomized ID Assignments. Math Comput Sci. 2022;7(1):9-17. doi: 10.11648/j.mcs.20220701.12

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@article{10.11648/j.mcs.20220701.12,
  author = {Michael Maigwa Martin Kangethe and Elisha Odira Abade},
  title = {Secure Contact Agreement Protocol for Messenger Services Through Randomized ID Assignments},
  journal = {Mathematics and Computer Science},
  volume = {7},
  number = {1},
  pages = {9-17},
  doi = {10.11648/j.mcs.20220701.12},
  url = {https://doi.org/10.11648/j.mcs.20220701.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.mcs.20220701.12},
  abstract = {Messenger services have over the recent decade been the most dominant, ubiquitous, and widespread form of communication globally. While the service has evolved to enable reliable real-time communication between people across different technologies, there have been privacy and security concerns that were initially remediated by implementing TLS/SSL and E2E Encryption as a standard. However, new privacy challenges and security gaps have been identified and exploited through the capture and analysis of communication traffic metadata. These methods exploit the use of readily available advanced machine learning and data mining algorithms to identify users’ communication networks and patterns without reading the actual messages sent between end-users just by analyzing readily available metadata such as the sender and receiver IDs, time sent, and communication frequency. To close these gaps the need to anonymize users’ communications while maintaining reliable contact with each other is necessary. Randomized anonymization of metadata parameters can ensure it becomes nearly impossible for current analytics algorithms to identify user patterns from communication traffic over time. Also, to guarantee seamless communication between users with changing identities there needs to be a real-time contact exchange protocol enabling users to randomly change their IDs and secretly inform other users in their contacts without the physical intervention or involvement of the human user. This research paper proposes a solution through the use of a randomized contact reassignment and exchange protocol by using the PKI encryption protocol to share its new identity with its existing contacts defeating the creation of traceable logs over time.},
 year = {2022}
}

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TY  - JOUR
T1  - Secure Contact Agreement Protocol for Messenger Services Through Randomized ID Assignments
AU  - Michael Maigwa Martin Kangethe
AU  - Elisha Odira Abade
Y1  - 2022/03/04
PY  - 2022
N1  - https://doi.org/10.11648/j.mcs.20220701.12
DO  - 10.11648/j.mcs.20220701.12
T2  - Mathematics and Computer Science
JF  - Mathematics and Computer Science
JO  - Mathematics and Computer Science
SP  - 9
EP  - 17
PB  - Science Publishing Group
SN  - 2575-6028
UR  - https://doi.org/10.11648/j.mcs.20220701.12
AB  - Messenger services have over the recent decade been the most dominant, ubiquitous, and widespread form of communication globally. While the service has evolved to enable reliable real-time communication between people across different technologies, there have been privacy and security concerns that were initially remediated by implementing TLS/SSL and E2E Encryption as a standard. However, new privacy challenges and security gaps have been identified and exploited through the capture and analysis of communication traffic metadata. These methods exploit the use of readily available advanced machine learning and data mining algorithms to identify users’ communication networks and patterns without reading the actual messages sent between end-users just by analyzing readily available metadata such as the sender and receiver IDs, time sent, and communication frequency. To close these gaps the need to anonymize users’ communications while maintaining reliable contact with each other is necessary. Randomized anonymization of metadata parameters can ensure it becomes nearly impossible for current analytics algorithms to identify user patterns from communication traffic over time. Also, to guarantee seamless communication between users with changing identities there needs to be a real-time contact exchange protocol enabling users to randomly change their IDs and secretly inform other users in their contacts without the physical intervention or involvement of the human user. This research paper proposes a solution through the use of a randomized contact reassignment and exchange protocol by using the PKI encryption protocol to share its new identity with its existing contacts defeating the creation of traceable logs over time.
VL  - 7
IS  - 1
ER  -

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Author Information

Michael Maigwa Martin Kangethe

School of Computing and Informatics, University of Nairobi, Nairobi, Kenya
Elisha Odira Abade

School of Computing and Informatics, University of Nairobi, Nairobi, Kenya

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Plain Text BibTeX RIS

APA Style

Michael Maigwa Martin Kangethe, Elisha Odira Abade. (2022). Secure Contact Agreement Protocol for Messenger Services Through Randomized ID Assignments. Mathematics and Computer Science, 7(1), 9-17. https://doi.org/10.11648/j.mcs.20220701.12

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ACS Style

Michael Maigwa Martin Kangethe; Elisha Odira Abade. Secure Contact Agreement Protocol for Messenger Services Through Randomized ID Assignments. Math. Comput. Sci. 2022, 7(1), 9-17. doi: 10.11648/j.mcs.20220701.12

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AMA Style

Michael Maigwa Martin Kangethe, Elisha Odira Abade. Secure Contact Agreement Protocol for Messenger Services Through Randomized ID Assignments. Math Comput Sci. 2022;7(1):9-17. doi: 10.11648/j.mcs.20220701.12

Copy | Download

@article{10.11648/j.mcs.20220701.12,
  author = {Michael Maigwa Martin Kangethe and Elisha Odira Abade},
  title = {Secure Contact Agreement Protocol for Messenger Services Through Randomized ID Assignments},
  journal = {Mathematics and Computer Science},
  volume = {7},
  number = {1},
  pages = {9-17},
  doi = {10.11648/j.mcs.20220701.12},
  url = {https://doi.org/10.11648/j.mcs.20220701.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.mcs.20220701.12},
  abstract = {Messenger services have over the recent decade been the most dominant, ubiquitous, and widespread form of communication globally. While the service has evolved to enable reliable real-time communication between people across different technologies, there have been privacy and security concerns that were initially remediated by implementing TLS/SSL and E2E Encryption as a standard. However, new privacy challenges and security gaps have been identified and exploited through the capture and analysis of communication traffic metadata. These methods exploit the use of readily available advanced machine learning and data mining algorithms to identify users’ communication networks and patterns without reading the actual messages sent between end-users just by analyzing readily available metadata such as the sender and receiver IDs, time sent, and communication frequency. To close these gaps the need to anonymize users’ communications while maintaining reliable contact with each other is necessary. Randomized anonymization of metadata parameters can ensure it becomes nearly impossible for current analytics algorithms to identify user patterns from communication traffic over time. Also, to guarantee seamless communication between users with changing identities there needs to be a real-time contact exchange protocol enabling users to randomly change their IDs and secretly inform other users in their contacts without the physical intervention or involvement of the human user. This research paper proposes a solution through the use of a randomized contact reassignment and exchange protocol by using the PKI encryption protocol to share its new identity with its existing contacts defeating the creation of traceable logs over time.},
 year = {2022}
}

Copy | Download

TY  - JOUR
T1  - Secure Contact Agreement Protocol for Messenger Services Through Randomized ID Assignments
AU  - Michael Maigwa Martin Kangethe
AU  - Elisha Odira Abade
Y1  - 2022/03/04
PY  - 2022
N1  - https://doi.org/10.11648/j.mcs.20220701.12
DO  - 10.11648/j.mcs.20220701.12
T2  - Mathematics and Computer Science
JF  - Mathematics and Computer Science
JO  - Mathematics and Computer Science
SP  - 9
EP  - 17
PB  - Science Publishing Group
SN  - 2575-6028
UR  - https://doi.org/10.11648/j.mcs.20220701.12
AB  - Messenger services have over the recent decade been the most dominant, ubiquitous, and widespread form of communication globally. While the service has evolved to enable reliable real-time communication between people across different technologies, there have been privacy and security concerns that were initially remediated by implementing TLS/SSL and E2E Encryption as a standard. However, new privacy challenges and security gaps have been identified and exploited through the capture and analysis of communication traffic metadata. These methods exploit the use of readily available advanced machine learning and data mining algorithms to identify users’ communication networks and patterns without reading the actual messages sent between end-users just by analyzing readily available metadata such as the sender and receiver IDs, time sent, and communication frequency. To close these gaps the need to anonymize users’ communications while maintaining reliable contact with each other is necessary. Randomized anonymization of metadata parameters can ensure it becomes nearly impossible for current analytics algorithms to identify user patterns from communication traffic over time. Also, to guarantee seamless communication between users with changing identities there needs to be a real-time contact exchange protocol enabling users to randomly change their IDs and secretly inform other users in their contacts without the physical intervention or involvement of the human user. This research paper proposes a solution through the use of a randomized contact reassignment and exchange protocol by using the PKI encryption protocol to share its new identity with its existing contacts defeating the creation of traceable logs over time.
VL  - 7
IS  - 1
ER  -

Copy | Download