• Multimodal Intrusion Detection Approach for IoT Devices: Enhancing Security through Anomaly Detection and Behavioral Analysis 

  Anam Mumtaz, 01-247231-004 (Computer Sciences, 2025)

  Cybersecurity threats have become more developed and are increasing with the growing adoption of IoT devices. So it is necessary to develop the effective Intrusion Detection Systems (IDS). This research focuses on designing ...
• Network Attacks Classification and Prediction: Exploring Advanced Strategies for Enhanced Network Security 

  Furqan Aziz Qureshi, 01-247231-006 (Computer Sciences, 2025)

  In the age of increasing cyber attacks, strong network security is an ongoing challenge. This research uses the UNSW-NB15 dataset to create and test advanced machine learning methods for the efficient classification and ...
• Optimized Software Implementations for NIST’s Post Quantum Cryptography Candidates Using NEON Based Instructions 

  Anjum Ashraaf, 01-247231-005 (Computer Sciences, 2025)

  The development of quantum computers is a serious threat to traditional cryptography methods that use well-known algorithms like RSA and ECC. These algorithms are secure from classical computers, but they rely on mathematical ...
• A Hybrid Authentication Approach (LPCAP-IoD) To Enhance Security in Internet of Drones (IoD) 

  Muhammad Imran Khan, 01-247231-008 (Computer Sciences, 2025)

  The Internet of Drones (IoD) is a field where a lot of research is underway due to the ever growing demand and applications in all domain of life such as miliary (for Information sharing, search & rescue, surveillance, ...
• Cyber Forensic Examination of Persistent Data on USB Storage 

  Ilyas Khan, 01-247222-006 (Computer Sciences, 2024)

  Digital forensics plays a crucial role in modern crime investigations, requiring precise methods for assessing, acquiring, examining, and documenting digital evidence. USB storage devices are widely used due to their ...
• A Hybrid Framework for Detection & Categorization of Android Malware By Synthesizing Static and Dynamic Analysis 

  Ahmed Bilal Jan, 01-247222-004 (Computer Sciences, 2024)

  Android based mobile phones usage is on the rise since 2010. With billion of interconnected smart phones the number of malicious attacks on android platform are also increasing with enormous frequency. The popularity of ...
• A Lightweight and Secure Authentication Scheme for Smart Health Scenario 

  Zohaib Ali, 01-247212-018 (Computer Sciences, 2023)

  The emergence of smart health technologies has brought numerous benefits in healthcare services such as remote patient monitoring, personalized treatment, and early disease detection. However, these technologies also pose ...
• A Framework for Enabling Static Detection and Classification of PE Malware 

  Zain Nawaz, 01-247212-017 (Computer Sciences, 2023)

  Over the preceding years, the proliferation of malware on PC platforms, particularly on Windows OS, has become notably more severe. To counter the propagation of numerous malware variations, the implementation of ML ...
• A Modified Back off Mechanism for Uplink Orthogonal Frequency Division Multiple Access Random Access 802.11ax 

  Muhammad Ishaque Khan, 01-247212-019 (Computer Sciences, 2023)

  Uplink Orthogonal Frequency Division Multiple Access (OFDMA) Random Access (UORA) is prime trademark of IEEE 802.11ax protocol and meritoriously used in Wireless Local Area Network (WLANs). UORA working is based on two ...
• Android Malware and Variant Detection Framework Leveraging Similarity Hashes 

  Alina Khalid, 01-247212-002 (Computer Sciences, 2023)

  In the growing world of technology, the frequency and magnitude of cyber attacks is increasing day by day. Most popular OS are most prone to these attacks. Android OS is sharing a major share in OS market therefore facing ...
• AI-based Reputation Model for Trust in 5G and Beyond 

  Moiz Irfan, 01-247202-009 (Computer Sciences, 2023)

  The growth of 5G-based networks is expanding in all fields. It will have a very important role in our daily life in the near future. It offers much higher speed than previous technology and connectivity. Because of its ...
• Privacy Preservation Technique for Unmanned Aerial Vehicles Network 

  Muhammad Nauman Munawar, 01-247202-012 (Computer Sciences, 2023)

  Unmanned Aerial Vehicles (UAVs) are gradually becoming more widely used across a wide range of real-world applications because of their rapid and cost-effective deployment. A UAV networks is the wireless and ad-hoc networks ...
• An Efficient Signature and Flow Statistics-Based Anomaly Detection System by Using Software-Defined Networking for the Internet Of Things 

  Usama Ehsan Abbasi, 01-247202-021 (Computer Sciences, 2023)

  Software Defined Networking (SDN) decouples the control and data plane. SDN approach enables the network administrator to respond quickly to the essential requirements from a centralized controller. SDN provides a novel ...
• An Efficient Detection of Unauthorized Internet of Things Devices using Intelligent Techniques 

  Sib Tul Hassan, 01-247202-020 (Computer Sciences, 2023)

  With more sophisticated and integrated systems, the new trend of smart cities has transformed into more smart and intelligent services. Infrastructure for smart cities has adopted several new technologies for sustainability ...
• Tracing Malicious Android Applications From Memory Dumps 

  Khalid Imran, 01-247202-008 (Computer Sciences, 2022)

  With the rapid increase in smartphone users, Android has become the most widely used Operating System in mobile devices. Due to its popularity, Android is the prime target for malicious applications, which poses a serious ...
• Personality Prediction from Digital Footprints - Social Media And Beyond. 

  Azaz Tahir, 01-247201-003 (Computer Sciences BUIC, 2022)

  An increasing number of users of social networks has significantly contributed to a enor increase in the amount of information on the Internet. Often, the content these users post on social networks can provide valuable ...
• A Framework for Malicious Uniform Resource Locator and Domain Name Detection. 

  Javaid Wahab, 01-247201-007 (Computer Sciences BUIC, 2022)

  The Domain names and URLs are the building block of the internet but are being misused by cybercriminals to spread malware and launch attacks. The malicious URLs and Domains can provide a macro image of malicious activities. ...
• Scrutinizing Targeted User on Social Media Applications Using Open Source Intelligence. 

  Rizwan Saeed, 01-247201-012 (Computer Sciences BUIC, 2022)

  As a vital and cost-effective form of intelligence obtained from publicly accessible sources, Open Source Intelligence (OSINT) has gained widespread recognition in recent years. With the emergence of popular social media ...
• Cyber Competence OSINT: The Development of Cyber-Crime Mitigation using Crawler Enhancement 

  Sami Ullah, 01-247201-013 (Computer Sciences BUIC, 2022)

  Both the industrial and academic communities have emphasized sentiment analysis methodologies for detecting illegal and hateful content from social media sites such as Twitter, particularly when applied to tweets. Machine ...
• IP to Geo-location Mapping Using Multiple Measurement Framework. 

  Nasir Ali, 01-247201-010 (Computer Sciences BUIC, 2022)

  Geolocation information for an IP can be used for various applications over the internet, like content delivery, advertising, fraud detection, & prevention. It can also be helpful in cyber security on both the offensive ...

View more