Titlebook: International Conference on Innovative Computing and Communications; Proceedings of ICICC Deepak Gupta,Ashish Khanna,Ajay Jaiswal Conferenc

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Malware Classification Using Multi-layer Perceptron Model,, loss function and alpha (regularization parameter) are used for training the multi-layer perceptron model to develop the optimal malware classifier. The proposed malware classifier produced an accuracy of 99.2% using the Adam loss function in binary classification of the?executable files.

DOTE

Protocol Random Forest Model to Enhance the Effectiveness of Intrusion Detection Identification,. Three protocol datasets, which represent subsets of the NSL-KDD dataset, are used for the experiment. The finding is sufficient to prove that our protocol random forest (Protocol-RF) model detects the attacks with the highest precision of 0.907 and a low false-positive rate of 0.001.

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Conference proceedings 2021ative works of scientists, professors, research scholars, students and industrial experts in the field of computing and communication, the book promotes the transformation of fundamental research into institutional and industrialized research and the conversion of applied exploration into real-time applications..

消滅

Selection of Probabilistic Data Structures for SPV Wallet Filtering,er which has much better ability to perform than bloom filter by means of limited counting, offers deletion algorithm, and also maintains the space complexity at the same time. Cuckoo hashing can be used to resolve collisions and maintain a compressed cuckoo hash table.

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A Dummy Location Generation Model for Location Privacy in Vehicular Ad hoc Networks, applications require the access to location of vehicles participating in the network and may lead to life-threatening situations. Hence, a careful solution is required while sharing the credentials including location. In this work, we propose to use the dummy location generation of the vehicles. Th

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