NSYSS

A major less spoken impact of COVID-19 is the irrational behavior from people. We are experiencing abnormal behaviour from individuals all over the world. It ranges from “absurd conspiracy theories” to “panic buying of tissue paper”. Likewise, one such ...

To curb the spread of the coronavirus, authorities around the world implemented lockdown measures for months. In these locked down days, people as well as healthcare workers (HWs) are increasingly relying on social media platforms to socialize among ...

Hospital beds are an essential part of delivering medical services to the patients. Due to the hospital bed demand’s stochastic nature, it is hard to predict future needs and devise an appropriate augmentation scheme. In this work, we consider ...

Genre detection from news articles or news titles is one kind of text classification procedures where news articles or titles are categorized among different families. Nowadays, text classification has become a key research field in text mining and ...

In a world of digitization, optical character recognition holds the automation to written history. Optical character recognition system basically converts printed images into editable texts for better storage and usability. To be completely functional, ...

The increasing volume of encrypted network traffic yields a clutter for hackers to use encryption to spread their malicious software on the network. We study the problem of detecting TLS-encrypted malware on the client side using metadata and TLS ...

Ensuring integrity and security of computer networks is one of the growing concerns. The number of malware specifically designed to damage, disrupt or perform illegitimate actions on data, networks or hosts are increasing day by day. Detection of hosts ...

Parkinson’s disease is a common and highly threatening neurodegenerative disease, which has no confirmed well-adopted diagnosis method to date. All research efforts in this regard focus on diagnosing in controlled environment such as laboratories. ...

Active Learning is a machine learning strategy that aims at finding out an optimal labeling sequence for a huge pool of unlabeled data. We observe that sometimes there are not enough labeled data in contrast to unlabeled samples. Moreover, in some ...

Network Intrusion Detection System (NIDS) is an important tool for network administrators to detect security breaches in a network. However, due to the diversity of attacks and imbalanced datasets having less number of data pertinent to attack events, ...

Real-time big data analytics, which is the combination of real-time analytics and big data, works on processing large scale data as it arrives and strives to obtain insights from it without exceeding a limited time period. Massive amount of data is ...

Quantum error correction comes from the marriage of quantum mechanics with the theory of error-correcting codes, which is still at the rudimentary stage tackling only 1 qubit to date. As, unlike the classical world, the extent of error in the quantum ...

Collusive malwares in Android exploit the Inter Component Communication (ICC) scheme in Android architecture. Several collusive malware detection and analysis tools have been developed since the beginning of Android. These tools are mostly based on ...

The growing trend of attacking Android smart phones using malicious app has started posing significant threats for the users. Many approaches have been introduced for protecting the users against such malware. However, those solutions tend to use many ...

Two major security threats for wireless networks are physical jamming and virtual jamming. The inherent openness of the wireless channels exposes the network to the physical jamming problem. On the other hand, the virtual carrier-sensing mechanism of ...