Titlebook: Information Systems Security; 17th International C Somanath Tripathy,Rudrapatna K. Shyamasundar,Rajiv Conference proceedings 2021 Springer

CREST

ventilate

Vulnerability Analysis and Detection Using Graph Neural Networks for Android Operating Systemraph representations, and then graph features are extracted. Vectorization techniques are used for converting node features of the graph into numerical formats. A vulnerability detection mechanism based on Graph Neural Network is designed and achieved an F1-score of 0.92. To the best of our knowledg

Palliation

ENDOW

Automated Identification of Social Media Bots Using Deepfake Text Detectioncontents of posts they make in the social media, which we refer to as fake posts. NLP techniques based on Deep Learning appear to be the most promising approach for fake text detection. We employ an end-to-end neural network architecture for deep fake text detection on a real-world Twitter dataset c

Oligarchy

Landcoin: A Practical Protocol for Transfer-of-Assett of time and hence are perceived reliable – a very important aspect while managing assets like land. In this paper, we present a . system for land management that borrows from Litecoin protocol its script, underlying consensus, and block structure. Our resultant system is a permissioned blockchain,

犬儒主义者

WiP: A Distributed Approach for Statistical Disclosure Control Technologiesset-up, whereby organizations can outsource the anonymization of their microdata sets to a central party safely (i.e., without sharing their raw data). Finally, we present the current status of the study together with a few questions for future research.

abracadabra

严峻考验

WiP: Privacy Enabled Biometric Authentication Based on Proof of Decryption Techniquesyption based techniques: (.) HMAC (Hash based MAC) of the authentication result on encrypted data (.) VC (Verifiable Computing) based approach and (.) Blinding techniques. Using these approaches we eliminate the need for trust assumptions between user and server in semi-honest setting i.e. they exec

COM

WiP: QoS Based Recommendation System for Efficient Private Inference of CNN Using FHEnd give encrypted result back to the user. Deep neural network for FHE encrypted data is computationally very heavy. In order to address this problem, variable length packing on the pruned deep learning model is employed. An algorithm to automatically recommend appropriate parameters for pruning and

抓住他投降

Faster Private Rating Update via Integer-Based Homomorphic Encryptiona and Zhang gave a protocol for a more general database scenario. We propose a hybrid approach that combines the advantages of each protocol, yielding a more efficient protocol. Our approach has constant user-side computation, and it reduces the communication and computation overhead at the server-s