Performance analysis of VoIP spoofing attacks using classification algorithms

Vennila, G.; Shalini, N.; Manikandan, M. Sabarimalai

doi:10.1109/aimoc.2014.6785540

Cited by 6 publications

(4 citation statements)

References 11 publications

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“…P1 -Toyoda et al [34], P2 -Chikha et al [24], P3 -Su M.-Y. et al [25], P4 -Azad et al [26], P5 -Liu et al [13], P6 -Batthalla et al [36], P7 -Vennila et al [37], P8 -Barghi et al [19] 1) Hyper-Parameter Optimization…”

Section: Application Of Neural Network Algorithms To Spitmentioning

confidence: 99%

Efficient Detection of Spam Over Internet Telephony by Machine Learning Algorithms

et al. 2022

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Recent trends show a growing interest in VoIP services and indicate that guaranteeing security in VoIP services and preventing hacker communities from attacking telecommunication solutions is a challenging task. Spam over Internet Telephony (SPIT) is a type of attack which is a significant detriment to the user's experience. A number of techniques have been produced to detect SPIT calls. We reviewed these techniques and have proposed a new approach for quick, efficient and highly accurate detection of SPIT calls using neural networks and novel call parameters. The performance of this system was compared to other state-ofart machine learning algorithms on a real-world dataset, which has been published online and is publicly available. The results of the study demonstrated that new parameters may help improve the effectiveness and accuracy of applied machine learning algorithms. The study explored the entire process of designing a SPIT detection algorithm, including data collection and processing, defining suitable parameters, and final evaluation of machine learning models.

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Section: Application Of Neural Network Algorithms To Spitmentioning

confidence: 99%

Efficient Detection of Spam Over Internet Telephony by Machine Learning Algorithms

et al. 2022

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“…The problem of Caller ID spoofing has taken the center stage in recent years due to huge losses that people has faced in the form of financial value, breach of privacy, and reputation. In [6] the authors debate on the steting up a honey pot for Smap over Internet Telephony (SPIT) and propose an algorithm to mitigate the denial of service attacks. However, we believe that deployment of a honey pot for voice traffic is a big net that is casted over all the voice traffic of a service provider which may effect the quality of service of legitimate users too.…”

Section: Related Workmentioning

confidence: 99%

Secure Calls and Caller ID Spoofing Countermeasures Towards building a Cyber Smart Societies

Chaudhry¹,

Shafique²

2016

Proceedings of the 2015 International Conference on Recent Advances in Computer Systems

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Caller Identification (CallerID) is a service provided by the service providers that enables the receiver of the call to know who is trying to call him. Now a days, the caller ID service is used by many public and private organizations to contact their customers in order to exchange private information for authentication purposes. The unified caller ID for all the outgoing series of call connections, establishes an initial chain of trust between the caller and the callee. However, an increasing trends is observed where faking/spoofing the callerID has become a common trend. Cyber criminals spoof their caller IDs in order to gain call pickup trust from the user and build on to that initial trust to steel user data over phones. The faked callerID can cause roamers to spread and panic among public too. It is also used to defame organizations and particular people. In this paper, we aim at analyzing the existing methods to prevent the callerID spoofing along with their shortcoming and propose the model for caller ID verification that might be used to verify the identity of the caller.

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“…This study proposes a test-base using Zoiper (SIP clients) and Asterisk server Private Branch Exchange (PBX) for an intranet VOIP application. The Zoiper and Asterisk intranet VOIP implementation allows free communication without the need for telecommunication provider charges be it call or data rates [11]. Zoiper (SIP client) is based on a custom configured PBX using the Asterisk server to facilitate student communications across a multiple university campus setting in developing countries.…”

Section: Introductionmentioning

confidence: 99%

Wireless Enabled Voice over Internet Protocol (VoIP) Network Application Using Asterisk PBX

Odjidja¹,

Kabanda²,

Agangiba³

et al. 2018

EAI Endorsed Trans IoT

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This paper reechoes the need to use VOIP-based communication channels in order to reduce the heavy cost burden of communication in Sub Saharan Africa and other developing countries. We focus specifically on the context of the campus environment and implement IP PBX to cut down the cost of placing and receiving voice calls, instant messaging and voice mails with other colleagues connected to an Asterisk server on WIFI-enabled networks. We are motivated by the ease and cost-effectiveness of setting up WIFI-enabled IP network infrastructure which in recent times could be extended to allow inter-institutional linkage to allow collaboration and research.

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Performance analysis of VoIP spoofing attacks using classification algorithms

Cited by 6 publications

References 11 publications

Efficient Detection of Spam Over Internet Telephony by Machine Learning Algorithms

Efficient Detection of Spam Over Internet Telephony by Machine Learning Algorithms

Secure Calls and Caller ID Spoofing Countermeasures Towards building a Cyber Smart Societies

Wireless Enabled Voice over Internet Protocol (VoIP) Network Application Using Asterisk PBX

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