A Vision for the Trust Managed Grid. - Muhammad Hanif Durad; Yuanda Cao (CCGRID, 2006)

An Efficient Hybrid P2P Incentive Scheme. - Zhitao Guan; Yuanda Cao; Muhammad Hanif Durad; Liehuang Zhu (SNPD (3), 2007)

Performance Analysis of Parallel Sorting Algorithms Using MPI. - Muhammad Hanif Durad; Muhammad Naveed Akhtar; Irfan Ul Haq (FIT, 2014)

Analysis of Detection Features for Wormhole Attacks in MANETs. - Muhammad Imran 005; Farrukh Aslam Khan; Tauseef Jamal; Muhammad Hanif Durad (FNC/MobiSPC, 2015)

A detection and prevention system against collaborative attacks in Mobile Ad hoc Networks. - Farrukh Aslam Khan; Muhammad Imran 005; Haider Abbas; Muhammad Hanif Durad (Future Gener. Comput. Syst., 2017)

Toward an optimal solution against Denial of Service attacks in Software Defined Networks. - Muhammad Imran 005; Muhammad Hanif Durad; Farrukh Aslam Khan; Abdelouahid Derhab (Future Gener. Comput. Syst., 2019)

Reducing the effects of DoS attacks in software defined networks using parallel flow installation. - Muhammad Imran 005; Muhammad Hanif Durad; Farrukh Aslam Khan; Abdelouahid Derhab (Hum. centric Comput. Inf. Sci., 2019)

Intrusion detection using deep sparse auto-encoder and self-taught learning. - Aqsa Saeed Qureshi; Asifullah Khan; Nauman Shamim; Muhammad Hanif Durad (Neural Comput. Appl., 2020)

DAISY: A Detection and Mitigation System Against Denial-of-Service Attacks in Software-Defined Networks. - Muhammad Imran 005; Muhammad Hanif Durad; Farrukh Aslam Khan; Haider Abbas (IEEE Syst. J., 2020)

Launch of denial of service attacks on the modbus/TCP protocol and development of its protection mechanisms. - Ayesha Rahman; Ghulam Mustafa 003; Abdul Qayyum Khan; Muhammad Abid 001; Muhammad Hanif Durad (Int. J. Crit. Infrastructure Prot., 2022)

A Survey of the Recent Trends in Deep Learning Based Malware Detection. - Umm-e-Hani Tayyab; Faiza Babar Khan; Muhammad Hanif Durad; Asifullah Khan; Yeon Soo Lee (J. Cybersecur. Priv., 2022)

Detection of Data Scarce Malware Using One-Shot Learning With Relation Network. - Faiza Babar Khan; Muhammad Hanif Durad; Asifullah Khan; Farrukh Aslam Khan; Sajjad Hussain Chauhdary; Mohammed A. Alqarni (IEEE Access, 2023)

Multi-Layered Filtration Framework for Efficient Detection of Network Attacks Using Machine Learning. - Muhammad Arsalan Paracha; Muhammad Sadiq; Junwei Liang 004; Muhammad Hanif Durad; Muhammad Sheeraz (Sensors, 2023)

Effective network intrusion detection using stacking-based ensemble approach. - Muhammad Ali; Mansoor-ul-haque; Muhammad Hanif Durad; Anila Usman; Syed Muhammad Mohsin; Hana Mujlid; Carsten Maple (Int. J. Inf. Sec., 2023)

Design and Performance Analysis of an Anti-Malware System Based on Generative Adversarial Network Framework. - Faiza Babar Khan; Muhammad Hanif Durad; Asifullah Khan; Farrukh Aslam Khan; Muhammad Rizwan 004; Aftab Ali (IEEE Access, 2024)

Advancing Snort IPS to Achieve Line Rate Traffic Processing for Effective Network Security Monitoring. - Muhammad Sheeraz; Muhammad Hanif Durad; Shahzaib Tahir; Hasan Tahir; Saqib Saeed; Abdullah Mohammed Almuhaideb (IEEE Access, 2024)

ISAnWin: inductive generalized zero-shot learning using deep CNN for malware detection across windows and android platforms. - Umm-e-Hani Tayyab; Faiza Babar Khan; Asifullah Khan; Muhammad Hanif Durad; Farrukh Aslam Khan; Aftab Ali (PeerJ Comput. Sci., 2024)

Revolutionizing SIEM Security: An Innovative Correlation Engine Design for Multi-Layered Attack Detection. - Muhammad Sheeraz; Muhammad Hanif Durad; Muhammad Arsalan Paracha; Syed Muhammad Mohsin; Sadia Nishat Kazmi; Carsten Maple (Sensors, 2024)