IIFA: Modular Inter-app Intent Information Flow Analysis of Android Applications

Android apps cooperate through message passing via intents. However, when apps do not have identical sets of privileges inter-app communication (IAC) can accidentally or maliciously be misused, e.g., to leak sensitive information contrary to users expectations. Recent research considered static program analysis to detect dangerous data leaks due to inter-component communication (ICC) or IAC, but suffers from shortcomings with respect to precision, soundness, and scalability. To solve these issues we propose a novel approach for static ICC/IAC analysis. We perform a fixed-point iteration of ICC/IAC summary information to precisely resolve intent communication with more than two apps involved. We integrate these results with information flows generated by a baseline (i.e. not considering intents) information flow analysis, and resolve if sensitive data is flowing (transitively) through components/apps in order to be ultimately leaked. Our main contribution is the first fully automatic sound and precise ICC/IAC information flow analysis that is scalable for realistic apps due to modularity, avoiding combinatorial explosion: Our approach determines communicating apps using short summaries rather than inlining intent calls, which often requires simultaneously analyzing all tuples of apps. We evaluated our tool IIFA in terms of scalability, precision, and recall. Using benchmarks we establish that precision and recall of our algorithm are considerably better than prominent state-of-the-art analyses for IAC. But foremost, applied to the 90 most popular applications from the Google Playstore, IIFA demonstrated its scalability to a large corpus of real-world apps. IIFA reports 62 problematic ICC-/IAC-related information flows via two or more apps/components

Particle Swarm Optimization Technique with Time Varying Acceleration Coefficients for Load Dispatch Problem

Economic load dispatch is a non linear optimization problem which is of great importance in power systems . While analytical methods suffer from slow conversion and curse of dimensionality particle swarm optimization can be an efficient alternative to solve large scale non linear optimization problem.A lot of advancements have been done to modify this algorithm. This paper presents an overview of Classical PSO and then PSO with TVAC. Results are compared first with GA then CPSO and PSO with TVAC. DOI: 10.17762/ijritcc2321-8169.15068

Performance Analysis of a signal by removing ICI using Kalman Filter for OFDM Channel

The OFDM communication is very much inspired from the channel frequencies over the network. In such network some kind of orthogonal di stortion occur over the channel called Inter carrier Interference. Here we will improve the ICI using Kalman Filtering improv ed by using repetitive slot and correlated channel tap. The Kalman Filter is been improved by implementing the two stage kalman fil ter. In first stage the Kalman based statistical analysis is performed to estimate the PAPR and the respective Phase variated PAPR reduction is performed. In second stage the ICI reduction is performed by implementing the Kalman filter based carrier offset values. The proposed work of this paper is when data travel over some channel it suffers from the problem of interference. The interf erence results the high signal to noise ratio as well as high bit error rate. The proposed system will improved the si gnal by removing the different kind of impurities over the signal. These impurities includes the ICI, PAPR and the noise over the signal. The signal will be more ef fective than standard OFDM. S o we neednt many pilot symbols in practice, still can ensure the algorithm performance and reduce the time - delay and complexity of this algorith

AN OVERVIEW ON TUBULARCULOSIS TREATMENT IN CURRENT SCENARIO

The causative agent of tuberculosis (TB) is Mycobacterium tuberculosis, which mainly infects lungs and causes severe, fever, weight loss, chest pain, etc. It is an extremely transmittable disease spreaded throughout the world as per the WHO. It has emerged as new threat and drug resistance strains of Mycobacterium are emerging throws a challenge to human’s health like Covid-19 in current scenario. TB is now come in the form of bone TB, which is very difficult to diagnosis due to very slow-growing characteristics of Mycobacterium. This review highlights the history, drug development, current treatment both allopathic and Ayurvedic, as well as novel drugs available for the treatment of drug resistance Mycobacterium

Discreteness Of Hyperbolic Isometries by Test Maps

Let $\mathbb F=\mathbb R$, $\mathbb C$ or $\mathbb H$. Let ${\bf H}_{\mathbb F}^n$ denote the $n$-dimensional $\mathbb F$-hyperbolic space. Let ${\rm U}(n,1; \mathbb F)$ be the linear group that acts by the isometries. A subgroup $G$ of ${\rm U}(n,1; \mathbb F)$ is called \emph{Zariski dense} if it does not fix a point on the closure of the $\mathbb F$-hyperbolic space, and neither it preserves a totally geodesic subspace of it. We prove that a Zariski dense subgroup $G$ of ${\rm U}(n,1; \mathbb F)$ is discrete if for every loxodromic element $g \in G$, the two generator subgroup $\langle f, g \rangle$ is discrete, where $f \in {\rm U}(n,1; \mathbb F)$ is a test map not necessarily from $G$.Comment: to appear in Osaka J. Mat

Sustenance in Chronic Kidney Disease: Beyond the Calorie Count

Diet and nutrition play key roles in the management of metabolic disorders like hypertension, obesity, hyperlipidemia and diabetes. All these conditions are linked with the pathogenesis of chronic kidney disease (CKD). Patients with CKD frequently exhibit a progressive loss of muscle and fat mass that may not be related to reduced intake alone. This article provides a comprehensive overview of protein-energy wasting (PEW) in CKD, including its etiology and the obesity paradox and the nutritional guiding principles