100 citations · 203 across the 10 of their papers we have counts for
10 papers
IoT-based Android Malware Detection Using Graph Neural Network With Adversarial Defense
Rahul Yumlembam, Biju Issac, Seibu Mary Jacob +1
Since the Internet of Things (IoT) is widely adopted using Android applications, detecting malicious Android apps is essential. In recent years, Android graph-based deep learning r…
Enhancing Decision-Making in Windows PE Malware Classification During Dataset Shifts with Uncertainty Estimation
Rahul Yumlembam, Biju Issac, Seibu Mary Jacob
Artificial intelligence techniques have achieved strong performance in classifying Windows Portable Executable (PE) malware, but their reliability often degrades under dataset shif…
Insider Threat Detection Using GCN and Bi-LSTM with Explicit and Implicit Graph Representations
Rahul Yumlembam, Biju Issac, Seibu Mary Jacob +2
Insider threat detection (ITD) is challenging due to the subtle and concealed nature of malicious activities performed by trusted users. This paper proposes a post-hoc ITD framewor…
Flow-based Detection of Botnets through Bio-inspired Optimisation of Machine Learning
Biju Issac, Kyle Fryer, Seibu Mary Jacob
Botnets could autonomously infect, propagate, communicate and coordinate with other members in the botnet, enabling cybercriminals to exploit the cumulative computing and bandwidth…
Comprehensive Botnet Detection by Mitigating Adversarial Attacks, Navigating the Subtleties of Perturbation Distances and Fortifying Predictions with Conformal Layers
Rahul Yumlembam, Biju Issac, Seibu Mary Jacob +1
Botnets are computer networks controlled by malicious actors that present significant cybersecurity challenges. They autonomously infect, propagate, and coordinate to conduct cyber…
Problem Based Learning and Implementations
S. M. Jacob, B. Issac
In an era where learning is considered a problem, we decided to go for problems for the sake of learning! The purpose of this study was to throw light on the issues involved in two…
Formative Assessment and its E-learning Implementation
S. M. Jacob, B. Issac
Innovation in assessment is no more a choice in a tech-savvy instant age. The purpose of this study was to get more insight into the implementation of formative assessment through…
Analysis of Phishing Attacks and Countermeasures
B. Issac, R. Chiong, S. M. Jacob
One of the biggest problems with the Internet technology is the unwanted spam emails. The well disguised phishing email comes in as part of the spam and makes its entry into the in…
Mobile Learning Culture and Effects in Higher Education
S. M. Jacob, B. Issac
Mobile learning through wireless enabled laptops (say, within a university campus) can make use of the learning management system that is already available through internet or intr…
The mobile devices and its mobile learning usage analysis
S. M. Jacob, B. Issac
The usage of mobile devices for mobile learning is becoming increasingly popular. There is a new brand of students in the universities now-a-days who are easily connected to techno…