14 citations · 47 across the 11 of their papers we have counts for
12 papers
Unraveling Threat Intelligence Through the Lens of Malicious URL Campaigns
Mahathir Almashor, Ejaz Ahmed, Benjamin Pick +6
The daily deluge of alerts is a sombre reality for Security Operations Centre (SOC) personnel worldwide. They are at the forefront of an organisation's cybersecurity infrastructure…
Profiler: Profile-Based Model to Detect Phishing Emails
Mariya Shmalko, Alsharif Abuadbba, Raj Gaire +3
Email phishing has become more prevalent and grows more sophisticated over time. To combat this rise, many machine learning (ML) algorithms for detecting phishing emails have been…
Towards Web Phishing Detection Limitations and Mitigation
Alsharif Abuadbba, Shuo Wang, Mahathir Almashor +4
Web phishing remains a serious cyber threat responsible for most data breaches. Machine Learning (ML)-based anti-phishing detectors are seen as an effective countermeasure, and are…
Collaborative analysis of genomic data: vision and challenges
Sara Jafarbeiki, Raj Gaire, Amin Sakzad +2
The cost of DNA sequencing has resulted in a surge of genetic data being utilised to improve scientific research, clinical procedures, and healthcare delivery in recent years. Sinc…
Characterizing Malicious URL Campaigns
Mahathir Almashor, Ejaz Ahmed, Benjamin Pick +4
URLs are central to a myriad of cyber-security threats, from phishing to the distribution of malware. Their inherent ease of use and familiarity is continuously abused by attackers…
PrivGenDB: Efficient and privacy-preserving query executions over encrypted SNP-Phenotype database
Sara Jafarbeiki, Amin Sakzad, Shabnam Kasra Kermanshahi +4
Searchable symmetric encryption (SSE) has been used to protect the confidentiality of genomic data while providing substring search and range queries on a sequence of genomic data,…
ReinforceBug: A Framework to Generate Adversarial Textual Examples
Bushra Sabir, M. Ali Babar, Raj Gaire
Adversarial Examples (AEs) generated by perturbing original training examples are useful in improving the robustness of Deep Learning (DL) based models. Most prior works, generate…
Machine Learning for Detecting Data Exfiltration: A Review
Bushra Sabir, Faheem Ullah, M. Ali Babar +1
Context: Research at the intersection of cybersecurity, Machine Learning (ML), and Software Engineering (SE) has recently taken significant steps in proposing countermeasures for d…
Reliability and Robustness analysis of Machine Learning based Phishing URL Detectors
Bushra Sabir, M. Ali Babar, Raj Gaire +1
ML-based Phishing URL (MLPU) detectors serve as the first level of defence to protect users and organisations from being victims of phishing attacks. Lately, few studies have launc…
Crowdsensing and privacy in smart city applications
Raj Gaire, Ratan K. Ghosh, Jongkil Kim +4
Smartness in smart cities is achieved by sensing phenomena of interest and using them to make smart decisions. Since the decision makers may not own all the necessary sensing infra…
Internet of Things (IoT) and Cloud Computing Enabled Disaster Management
Raj Gaire, Chigulapalli Sriharsha, Deepak Puthal +8
Disaster management demands a near real-time information dissemina-tion so that the emergency services can be provided to the right people at the right time. Recent advances in inf…
Resource Usage Estimation of Data Stream Processing Workloads in Datacenter Clouds
Alireza Khoshkbarforoushha, Rajiv Ranjan, Raj Gaire +3
Real-time computation of data streams over affordable virtualized infrastructure resources is an important form of data in motion processing architecture. However, processing such…