Malware Detection using Machine Learning and Deep Learning

Research shows that over the last decade, malware has been growing exponentially, causing substantial financial losses to various organizations. Different anti-malware companies have been proposing solutions to defend attacks from these malware. The velocity, volume, and the complexity of malware are posing new challenges to the anti-malware community. Current state-of-the-art research shows that recently, researchers and anti-virus organizations started applying machine learning and deep learning methods for malware analysis and detection. We have used opcode frequency as a feature vector and applied unsupervised learning in addition to supervised learning for malware classification. The focus of this tutorial is to present our work on detecting malware with 1) various machine learning algorithms and 2) deep learning models. Our results show that the Random Forest outperforms Deep Neural Network with opcode frequency as a feature. Also in feature reduction, Deep Auto-Encoders are overkill for the dataset, and elementary function like Variance Threshold perform better than others. In addition to the proposed methodologies, we will also discuss the additional issues and the unique challenges in the domain, open research problems, limitations, and future directions.Comment: 11 Pages and 3 Figure

Necessity of Particle size studies of Ores from Bihar by the Mineral Industry

The measurment of particle size of various minerals, specially of the friable ores, which are commonly found in Bihar and the study of properties of material as function of size have applications in several fields. Recently, the subject has attracted the attention of industrial researchers. In this paper the necessity of particle size studies of ores of Bihar as applicable in general to the mining and mineral industries is discussed

A Hybrid Laser Ultrasonic Based Systemf ro Composite Molding

Conventional piezoelectric based ultrasonic systems have been extensively employed for material characterization. These systems however, have been challenged by the recent need to rapidly scan large areas of new materials such as composites having complex geometry. A promising candidate addressing this issue is laser ultrasonics. Though laser ultrasonics is not new and has generated considerable research interest in the past two decades, its industrial acceptance has been limited. Among its many benefits, laser ultrasonics promise the flexibility of a couplant free inspection system. Pulsed lasers, in particular, offer energy concentration at high repetition rates which can be readily directed at any location on the specimen for interrogation purposes. The detection of laser ultrasound is usually done through Michaelson or Fabry-Perot type interferometric systems. Though these detection systems have the advantage of couplant free detection, they constitute a major component of system cost owing to the precision required. The sensitivity of such systems are also not satisfactory

Recurrent Painless Haematuria in a Well Child—A Case Report

\ua9 Association of Surgeons of India 2024.We report a case of appendico-vesical fistula (AVF) in a 12-year-old boy presenting with a 2-month history of solely recurrent painless macroscopic haematuria. Ultrasound and MRI scans were suggestive of an urachus remnant with a calculus in the bladder dome. Cystoscopy showed a bladder diverticulum with mucosal inflammation. Open laparotomy eventually revealed the AVF, as a complication of a clinically ‘silent’ acute appendicitis. AVF is a rare complication of acute appendicitis. A literature review identified 17 further paediatric cases. Whilst faecaluria and pneumaturia are pathognomonic for AVF, these were present in only 24% of patients. Most patients presented with recurrent urinary tract infections or urinary symptoms, and most had a history of abdominal pain and vomiting. Imaging studies and cystoscopy were often inconclusive, and most diagnoses were made at surgery. A high index of clinical suspicion helps to guide diagnosis and treatment