• shanar

Voice over Internet Protocol (VoIP) is a trend of applications catching up on the internet in the recent times. The usage of cryptographic methods allows the users to communicate securely, but the computed throughput in addition to the QoS parameters are influenced by the algorithm used. In the technical work studied earlier, Diffie-Hellmann (DH) key exchange algorithm is employed, but it is not quite efficient to tackle against the attacks of malicious intruders. But, it is the only technique available for safeguarding the data from the offenders. In the newly introduced work, the ZRTP security mechanism yields a secure channel for VoIP along with Ron Rivest, Adi Shamir and Leonard Adleman (RSA) algorithm to defend against the intruder threats. It is found that the weakness of ZRTP protocol with RSA algorithm is due to the isolation between the platform state verification process and the key exchange process. End-to-end security is necessary for protecting against wiretapping made on voice calls. The ZRTP key-agreement protocol with the Neural Network (NN) Classifier is used for such communication in real-time. Classifier is utilized for the identification of the dangers from intruders. This comprehensive evaluation reveals a severe vulnerability, which permits wiretapping even when Short Authentication Strings are compared with precision. It explains about the error handling mechanisms of the clients and design of security indicators strongly resulting invulnerable connections. The performance analysis metrics include Recall, Precision, Accuracy and F-Measure result. KEY WORDS: Voice over Internet Protocol (VoIP), Ron Rivest, Adi Shamir and Leonard Adleman (RSA), Diffie-Hellmann (DH), intruders, and Z and Real-time Transport Protocol (ZRTP).

KEY WORDS: Voice over Internet Protocol (VoIP), Ron Rivest, Adi Shamir and Leonard Adleman (RSA), Diffie-Hellmann (DH), intruders, and Z and Real-time Transport Protocol (ZRTP).

"REAL-WORLD ATTACKS ON ZRTP WITH RSA ALGORITHM USING NEURAL NETWORK CLASSIFIER", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 12, page no.94-102, December-2018, Available :http://www.jetir.org/papers/JETIR1812814.pdf

"REAL-WORLD ATTACKS ON ZRTP WITH RSA ALGORITHM USING NEURAL NETWORK CLASSIFIER", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp94-102, December-2018, Available at : http://www.jetir.org/papers/JETIR1812814.pdf