Detecting a large number of objects in real-time using apache storm

Abstract

Object detection is an important function for intelligent multimedia processing, but its computational complexity prevented its pervasive uses in consumer electronics. To process large-scale datasets in real-time, more resources and reliable infrastructures are required for spreading the data and running the applications across multiple machines in parallel. In order to detect a large number of objects in real-time, a task-parallel processing framework based on Storm is proposed.

Privacy Preserving Cryptanalysis Using Homomorphic Encryption in Iot

“…The author [11] proposes an aggregation scheme by protecting individuals data from entrusted parties by exhibiting honest-but-curious model to a statistical approach of data, hash function and discrete logarithmic function is used in cryptography for obtaining privacy. The author [10] explains the different security attacks for on-street parking spots and meters and propose a method to intercept radio signals to enhance security thereby avoid the attacks. Here, devices such as FPGA (Field Microcontroller Gate Array) and microcontroller are integrated in board for quicker process.…”

“…Also, the sensitive information about the user details communicate must be preserved to avoid any kind of data breach. Preserving privacy [7,10,11] is required for legal or commercial reasons. Cryptography prevents unauthorized users, software or firmware in accessing private data Security in Heterogeneous network model is achieved by introducing Gortis Enhanced Homomorphism Cryptography (EHC) algorithm [14] and anonymity and Zero-knowledge privacy, etc.…”