Comparative analysis of fraud detection systems by phone number
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Journal of Physics: Conference Series
PAPER • OPEN ACCESS
Comparative analysis of fraud detection systems by phone number
To cite this article: V V Sergeev et al 2020 J. Phys.: Conf. Ser. 1679 052003
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APITECH II IOP Publishing
Journal of Physics: Conference Series 1679 (2020) 052003 doi:10.1088/1742-6596/1679/5/052003
Comparative analysis of fraud detection systems by phone
number
V V Sergeev1, I M Gorbchenko1 and V V Safronov2
1
Reshetnev Siberian State University of Science and Technology, 31, Krasnoyarsk
worker str., Krasnoyarsk, 660037, Russian Federation
2
Voronezh State Technical University, Moscow ave., 14, Voronezh, 394026, Russian
Federation
E-mail: irinag105@mail.ru
Abstract. Today, the personal data of many people is stored in the databases of a large number
of organizations. Some of them use this data for advertising purposes, disturbing customers
with constant calls and SMS messages. The problem is that one cannot tell for sure by looking
at an unfamiliar number whether it is an unwanted call from an organization. One can use
specialized software tools to solve this problem. This article is devoted to comparing their
functionality.
1. Introduction
Today, the personal data of many people is stored in the databases of a large number of organizations
[1]. Some of them use this data for advertising purposes, disturbing customers with constant calls and
SMS messages [2]. Sometimes this information is useful and necessary, but not always. Organizations
don't stop calling and sending SMS messages with their offers. These Intrusive calls are distracting
while working, studying, driving, etc. For example, you can block all calls from unknown numbers,
but then you can skip an important call from an unknown number.
The problem is that you can't tell for sure by looking at an unfamiliar number whether it's an
unwanted call from an organization [3]. Cell phone number blocking can be used when a call is
already received. After the installation of the lock is performed manually.
You can solve this problem by having a special database of phone numbers with unwanted
numbers [4], [5]. If you check whether a number is available in this database, you can safely block it.
Only creating such a database is time-consuming, since you can call from a new number every time.
At the moment, there are attempts to create such a database by activists on several Internet sites.
2. Sites description
Databases of phone numbers are available on many sites that differ:
• as part of useful content;
• in the speed of loading pages;
• in design;
• in navigation and else.
Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution
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Published under licence by IOP Publishing Ltd 1
APITECH II IOP Publishing
Journal of Physics: Conference Series 1679 (2020) 052003 doi:10.1088/1742-6596/1679/5/052003
One of the Internet sites that help in identifying an unwanted number is the web resource "Called"
(address - https://zvonili.com/). The site's appearance is shown in figure 1. A special feature of this site
is the presence of page views with a phone number.
Another site that can be used to identify an unwanted call is the "list of phone collectors" (address -
https://hcpeople.ru/spisok-telefonov-kollektorov/). A special feature of this information resource is the
presence of categories in comments to phone numbers, which helps determine the response to a call.
Another site – "Can I pick up the phone ?» (address - https://www.neberitrubku.ru). A special
feature of this Internet resource is the analysis of user comments to determine the room category.
Also site - a web resource "https://ktomnezvonil.net/". Its feature is a positive or negative user
rating for the caller's phone number. This feature is not a key feature and it is not necessary to add it to
the database.
Another resource for detecting an unwanted call is the web resource "STOP SPAM" (address
"https://ss1.ru/"). Its special feature is that users set a rating for the calling phone number.
These sites provide information only in Russian. Information resources are also available in
English. For example, the site "ThatsThem" (address - https://thatsthem.com/reverse-phone-lookup),
shown in figure 1.
Figure 1. Site “ThatsThem” view.
The following specialized site for finding information about the caller by phone number - the site
"National cellular directory" (address - https://www.nationalcellulardirectory.com/). Its appearance is
shown in figure 2.
2APITECH II IOP Publishing
Journal of Physics: Conference Series 1679 (2020) 052003 doi:10.1088/1742-6596/1679/5/052003
Figure 2. Site “National cellular directory” view.
3. Sites comparison
The described sites have different appearance, contain different information about the owner of the
phone number, their work is based on different search principles, and so on. However, they perform
the task - they give out some information about the owner of the phone number.
The results of the analysis of information available on these sites are shown in table 1. In the
columns of table 1, numbers indicate sites: 1 - https://zvonili.com/, 2 - https://hcpeople.ru/, 3 -
https://www.neberitrubku.ru/, 4 - https://ktomnezvonil.net/, 5 - https://ss1.ru/, 6 -
https://thatsthem.com, 7 - https://www.nationalcellulardirectory.com/.
Table 1. Comparison of site characteristics.
Characteristics 1 2 3 4 5 6 7
Tracking number activity + - - - - - -
Availability of the date for reviews of the + + + + + + -
number
Availability of search by number + + + + + + +
Availability of room categories + + + + + + +
Whether the number has a rating - - + + + - -
Color designation of the phone number - - - - + + -
category
Simplicity and clarity of the displayed +++ +++ ++++ ++++ +++ ++++ ++++
information
The user friendliness +++ ++ +++ ++++ +++ +++ ++++
Quick search for the necessary information ++ ++ +++ ++ ++ ++ ++
3APITECH II IOP Publishing
Journal of Physics: Conference Series 1679 (2020) 052003 doi:10.1088/1742-6596/1679/5/052003
When analyzing the performance of the presented sites, several key points were highlighted:
• all phone numbers are sorted by the number and date of the last user reviews;
• each user review has a category in addition to the phone number (for example: answering
machine);
• categories are defined by the web resource (for easy sorting and elimination of repetitions, for
example, "Autoresponder "and" autoresponder").
• for some phone numbers, users leave text comments where they share information about who
called.
4. Conclusion
From the above, it follows that a variety of sites have certain advantages and disadvantages. The
choice of a particular site as a source of information depends on the user's preferences. However, the
presence of a color designation category phone review calls to specified numbers does the information
resource is the most convenient. The results can be used, for example, when designing software for the
following tasks: big data analytics for IoT platform [6], data flows in an IP-based networks [7],
information security risk estimation for cloud infrastructure [8].
References
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technologies 24 61-3
[2] Zakharov A 2018 Total surveillance: how the user data trading market works Technologies and
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[3] Alraouji Y and Bramantoro A 2014 International Call Fraud Detection Systems and Techniques
Proc. of the 6th Int. Conf. on Management of Emergent Digital EcoSystems (Buraidah, Al
Qassim, Saudi Arabia) 159-66
[4] Zhao Q, Chen K, Li T, Yang Y and Wang X F 2018 Detecting telecommunication fraud by
understanding the contents of a call Cybersecurity 1(8) https://doi.org/10.1186/s42400-018-
0008-5
[5] Noaman M. Ali and Novikov B 2020 Big Data: Analytical Solutions, Research Challenges and
Trends Proceedings of the Institute for System Programming of RAS (Moscow: Institute for
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[6] Ivanova D and Elenkov A 2019 Big Data Analytics for Air Quality Monitoring Assessment
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[7] Nedyalkov I, Stefanov A and Georgiev G 2019 Studying and Characterization of the Data
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[8] Tsaregorodtsev A V, Kravets O Ja, Choporov O N and Zelenina A N 2018 Information Security
Risk Estimation for Cloud Infrastructure International Journal on Information Technologies
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