default search action
Zubair A. Baig
Zubair Ahmed Baig
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
- [j48]Kerry Anne Farrea
, Zubair A. Baig, Robin Ram Mohan Doss, Dongxi Liu:
Provably secure optimal homomorphic signcryption for satellite-based internet of things. Comput. Networks 250: 110516 (2024) - [j47]Muna Al-Hawawreh, Zubair A. Baig, Sherali Zeadally:
AI for Critical Infrastructure Security: Concepts, Challenges, and Future Directions. IEEE Internet Things Mag. 7(4): 136-142 (2024) - [j46]Merwa Mehmood, Zubair A. Baig, Naeem Syed, Sherali Zeadally:
The Role of Rule Mining in Generating Synthetic Cyber-Physical System Attack Samples. IEEE Internet Things Mag. 7(6): 14-19 (2024) - [c31]Mohammad Reza Nosouhi
Towards Availability of Strong Authentication in Remote and Disruption-Prone Operational Technology Environments. ARES 2024: 145:1-145:11 - [c30]Merwa Mehmood, Zubair A. Baig, Naeem Syed:
Securing Industrial Control Systems (ICS) Through Attack Modelling and Rule-Based Learning. COMSNETS 2024: 598-602 - [c29]Sri Harsha Mekala, Zubair A. Baig, Adnan Anwar, Naeem Syed:
Evaluation and Analysis of a Digital Forensic Readiness Framework for the IIoT. ISDFS 2024: 1-6 - [c28]Maxim Chernyshev, Zubair A. Baig, Robin Ram Mohan Doss:
Towards Large Language Model (LLM) Forensics Using LLM-based Invocation Log Analysis. LAMPS@CCS 2024: 89-96 - 2023
- [j45]Naeem Firdous Syed
Fog-cloud based intrusion detection system using Recurrent Neural Networks and feature selection for IoT networks. Comput. Networks 225: 109662 (2023) - [j44]Sri Harsha Mekala
Cybersecurity for Industrial IoT (IIoT): Threats, countermeasures, challenges and future directions. Comput. Commun. 208: 294-320 (2023) - [j43]Chehara Pathmabandu
Privacy for IoT: Informed consent management in Smart Buildings. Future Gener. Comput. Syst. 145: 367-383 (2023) - [j42]Zubair A. Baig
Ransomware Attacks of the COVID-19 Pandemic: Novel Strains, Victims, and Threat Actors. IT Prof. 25(5): 37-44 (2023) - [c27]Sri Harsha Mekala
DoS Attacks, Human Factors, and Evidence Extraction for the Industrial Internet of Things (IIoT) Paradigm. ASEW 2023: 32-39 - 2022
- [j41]Naeem Firdous Syed
Zero Trust Architecture (ZTA): A Comprehensive Survey. IEEE Access 10: 57143-57179 (2022) - [j40]Zubair A. Baig
Securing the Smart City Airspace: Drone Cyber Attack Detection through Machine Learning. Future Internet 14(7): 205 (2022) - [c26]Naeem Syed
Unsupervised Machine Learning for Drone Forensics through Flight Path Analysis. ISDFS 2022: 1-6 - 2021
- [j39]Mengmeng Ge
Towards a deep learning-driven intrusion detection approach for Internet of Things. Comput. Networks 186: 107784 (2021) - [j38]Syed W. Shah, Naeem Firdous Syed
LCDA: Lightweight Continuous Device-to-Device Authentication for a Zero Trust Architecture (ZTA). Comput. Secur. 108: 102351 (2021) - [j37]Maxim Chernyshev, Zubair Ahmed Baig, Sherali Zeadally:
Cloud-Native Application Security: Risks, Opportunities, and Challenges in Securing the Evolving Attack Surface. Computer 54(11): 47-57 (2021) - [j36]Manjunath Hegde
A novel multi-stage distributed authentication scheme for smart meter communication. PeerJ Comput. Sci. 7: e643 (2021) - [c25]Ayman Youssef, Mohamed Abdelrazek, Chandan K. Karmakar
Tracing Software Exploitation. NSS 2021: 340-352 - [c24]Chehara Pathmabandu
ICME: an informed consent management engine for conformance in smart building environments. ESEC/SIGSOFT FSE 2021: 1545-1549 - 2020
- [j35]Sherali Zeadally
Harnessing Artificial Intelligence Capabilities to Improve Cybersecurity. IEEE Access 8: 23817-23837 (2020) - [j34]Muhammad Waleed
An Automated Method for Detection and Enumeration of Olive Trees Through Remote Sensing. IEEE Access 8: 108592-108601 (2020) - [j33]Zubair A. Baig
Averaged dependence estimators for DoS attack detection in IoT networks. Future Gener. Comput. Syst. 102: 198-209 (2020) - [j32]Naeem Firdous Syed
Denial of service attack detection through machine learning for the IoT. J. Inf. Telecommun. 4(4): 482-503 (2020) - [j31]Erwin Adi
Machine learning and data analytics for the IoT. Neural Comput. Appl. 32(20): 16205-16233 (2020) - [c23]Sowmya Vishvanathan, Zubair A. Baig:
Digital Forensics for Drones: A Study of Tools and Techniques. ATIS 2020: 29-41 - [c22]Chehara Pathmabandu
An informed consent model for managing the privacy paradox in smart buildings. ASE Workshops 2020: 19-26 - [c21]Syed W. Shah, Naeem Firdous Syed
Towards a Lightweight Continuous Authentication Protocol for Device-to-Device Communication. TrustCom 2020: 1119-1126 - [i3]Erwin Adi, Adnan Anwar, Zubair A. Baig, Sherali Zeadally:
Machine learning and data analytics for the IoT. CoRR abs/2007.04093 (2020) - [i2]Mengmeng Ge, Naeem Firdous Syed, Xiping Fu, Zubair A. Baig, Antonio Robles-Kelly:
Toward a Deep Learning-Driven Intrusion Detection Approach for Internet of Things. CoRR abs/2007.09342 (2020) - [i1]Syed W. Shah, Naeem Firdous Syed, Arash Shaghaghi, Adnan Anwar, Zubair A. Baig, Robin Doss:
Towards a Lightweight Continuous Authentication Protocol for Device-to-Device Communication. CoRR abs/2010.05144 (2020)
2010 – 2019
- 2019
- [j30]Tri Gia Nguyen
SeArch: A Collaborative and Intelligent NIDS Architecture for SDN-Based Cloud IoT Networks. IEEE Access 7: 107678-107694 (2019) - [j29]Anh-Nhat Nguyen, Van Nhan Vo
On Secure Wireless Sensor Networks With Cooperative Energy Harvesting Relaying. IEEE Access 7: 139212-139225 (2019) - [j28]V. Suma
Introduction to the Special Section on Software Engineering for Intelligent Systems and Control. Comput. Electr. Eng. 73: 383-384 (2019) - [j27]Sherali Zeadally, Farhan Siddiqui, Zubair A. Baig
25 Years of Bluetooth Technology. Future Internet 11(9): 194 (2019) - [j26]Maxim Chernyshev
Healthcare Data Breaches: Implications for Digital Forensic Readiness. J. Medical Syst. 43(1): 7:1-7:12 (2019) - [j25]Pasumpon Pandian
Editorial: Sustainable Mobile Networks and its Applications. Mob. Networks Appl. 24(2): 295-297 (2019) - [j24]Shama Naz Islam
Physical Layer Security for the Smart Grid: Vulnerabilities, Threats, and Countermeasures. IEEE Trans. Ind. Informatics 15(12): 6522-6530 (2019) - [c20]Sri Harsha Mekala
Digital Forensics for Drone Data - Intelligent Clustering Using Self Organising Maps. FNSS 2019: 172-189 - [c19]Mengmeng Ge, Xiping Fu, Naeem Firdous Syed
Deep Learning-Based Intrusion Detection for IoT Networks. PRDC 2019: 256-265 - 2018
- [j23]Van Nhan Vo
Secrecy Outage Performance Analysis for Energy Harvesting Sensor Networks With a Jammer Using Relay Selection Strategy. IEEE Access 6: 23406-23419 (2018) - [j22]Muhammad Imran Malik
Preparing for Secure Wireless Medical Environment in 2050: A Vision. IEEE Access 6: 25666-25674 (2018) - [j21]Duc-Dung Tran
Performance Analysis of DF/AF Cooperative MISO Wireless Sensor Networks With NOMA and SWIPT Over Nakagami-m Fading. IEEE Access 6: 56142-56161 (2018) - [j20]El-Sayed M. El-Alfy, Zubair A. Baig, Radwan E. Abdel-Aal:
A novel approach for face recognition using fused GMDH-based networks. Int. Arab J. Inf. Technol. 15(3): 369-377 (2018) - [j19]Maxim Chernyshev
Internet of Things (IoT): Research, Simulators, and Testbeds. IEEE Internet Things J. 5(3): 1637-1647 (2018) - [j18]Nikolai Hampton, Zubair A. Baig
Ransomware behavioural analysis on windows platforms. J. Inf. Secur. Appl. 40: 44-51 (2018) - [j17]Maxim Chernyshev, Sherali Zeadally, Zubair A. Baig
Internet of Things Forensics: The Need, Process Models, and Open Issues. IT Prof. 20(3): 40-49 (2018) - [j16]Ian McAteer, Peter Hannay, Muhammad Imran Malik, Zubair A. Baig:
Forensic Analysis of a Crash-Damaged Cheerson CX-20 Auto Pathfinder Drone. J. Digit. Forensics Secur. Law 13(4): 5-22 (2018) - 2017
- [j15]Zubair A. Baig
Future challenges for smart cities: Cyber-security and digital forensics. Digit. Investig. 22: 3-13 (2017) - [j14]Maxim Chernyshev, Sherali Zeadally, Zubair A. Baig
Mobile Forensics: Advances, Challenges, and Research Opportunities. IEEE Secur. Priv. 15(6): 42-51 (2017) - [j13]Erwin Adi
Stealthy Denial of Service (DoS) attack modelling and detection for HTTP/2 services. J. Netw. Comput. Appl. 91: 1-13 (2017) - [c18]Syed Naeem Firdous
Modelling and Evaluation of Malicious Attacks against the IoT MQTT Protocol. iThings/GreenCom/CPSCom/SmartData 2017: 748-755 - 2016
- [j12]Erwin Adi
Distributed denial-of-service attacks against HTTP/2 services. Clust. Comput. 19(1): 79-86 (2016) - [j11]Zubair A. Baig
Controlled access to cloud resources for mitigating Economic Denial of Sustainability (EDoS) attacks. Comput. Networks 97: 31-47 (2016) - [j10]Sherali Zeadally, Jesús Téllez Isaac, Zubair A. Baig
Security Attacks and Solutions in Electronic Health (E-health) Systems. J. Medical Syst. 40(12): 263:1-263:12 (2016) - [c17]Nikolai Hampton, Zubair A. Baig
Timestamp Analysis for Quality Validation of Network Forensic Data. NSS 2016: 235-248 - 2015
- [c16]Erwin Adi
Low-Rate Denial-of-Service Attacks against HTTP/2 Services. ICITCS 2015: 1-5 - [c15]Michael N. Johnstone, Zubair A. Baig
Controlled Android Application Execution for the IoT Infrastructure. IoT 360 (1) 2015: 16-26 - 2014
- [j9]Basem Almadani, Anas Al-Roubaiey, Zubair Ahmed Baig
Real-Time QoS-Aware Video Streaming: A Comparative and Experimental Study. Adv. Multim. 2014: 164940:1-164940:11 (2014) - 2013
- [j8]Zubair A. Baig
GMDH-based networks for intelligent intrusion detection. Eng. Appl. Artif. Intell. 26(7): 1731-1740 (2013) - [j7]Zubair A. Baig
An Analysis of Smart Grid Attacks and Countermeasures. J. Commun. 8(8): 473-479 (2013) - [c14]Zubair Ahmed Baig
Detecting Intrusive Activity in the Smart Grid Communications Infrastructure Using Self-Organizing Maps. TrustCom/ISPA/IUCC 2013: 1594-1599 - 2012
- [j6]Khaled Salah
Video-on-Demand (VoD) deployment over hospitality networks. Int. J. Netw. Manag. 22(1): 65-80 (2012) - [j5]Zubair A. Baig
Rapid anomaly detection for smart grid infrastructures through hierarchical pattern matching. Int. J. Secur. Networks 7(2): 83-94 (2012) - [j4]Zubair A. Baig
Multi-agent systems for protecting critical infrastructures: A survey. J. Netw. Comput. Appl. 35(3): 1151-1161 (2012) - [c13]El-Sayed M. El-Alfy
Abductive Neural Network Modeling for Hand Recognition Using Geometric Features. ICONIP (4) 2012: 593-602 - 2011
- [j3]Zubair A. Baig
Pattern recognition for detecting distributed node exhaustion attacks in wireless sensor networks. Comput. Commun. 34(3): 468-484 (2011) - [c12]Mohammed H. Sqalli, Syed Naeem Firdous
An Entropy and Volume-Based Approach for Identifying Malicious Activities in Honeynet Traffic. CW 2011: 23-30 - [c11]Zubair A. Baig
A trust-based mechanism for protecting IPv6 networks against stateless address auto-configuration attacks. ICON 2011: 171-176 - [c10]Zubair A. Baig
A selective parameter-based evolutionary technique for network intrusion detection. ISDA 2011: 65-71 - [c9]Zubair A. Baig
On the use of pattern matching for rapid anomaly detection in smart grid infrastructures. SmartGridComm 2011: 214-219 - [c8]Zubair A. Baig, AbdulRahman Shaheen, Radwan E. Abdel-Aal:
An AODE-based intrusion detection system for computer networks. WorldCIS 2011: 28-35 - 2010
- [j2]Zubair A. Baig
Multi-Agent pattern recognition mechanism for detecting distributed denial of service attacks. IET Inf. Secur. 4(4): 333-343 (2010) - [j1]Khaled Salah
Discovering last-matching rules in popular open-source and commercial firewalls. Int. J. Internet Protoc. Technol. 5(1/2): 23-31 (2010) - [c7]Salman A. Khan, Zubair A. Baig
On the use of Unified And-Or fuzzy operator for distributed node exhaustion attack decision-making in wireless sensor networks. FUZZ-IEEE 2010: 1-7
2000 – 2009
- 2009
- [c6]Khaled Salah
Resiliency of open-source firewalls against remote discovery of last-matching rules. SIN 2009: 186-192 - 2007
- [c5]Salman A. Khan, Zubair A. Baig
A Simulated Evolution-Tabu search hybrid metaheuristic for routing in computer networks. IEEE Congress on Evolutionary Computation 2007: 3818-3823 - 2006
- [c4]Zubair A. Baig
SGSIA-in-Network Data Preprocessing for Secure Grid-Sensor Integration. e-Science 2006: 160 - [c3]Zubair A. Baig
A Pattern Recognition Scheme for Distributed Denial of Service (DDoS) Attacks in Wireless Sensor Networks. ICPR (3) 2006: 1050-1054 - 2005
- [c2]Zubair A. Baig:
Preventing Service Flooding on Internet DNS Servers thru an Application-Level Mechanism: A Performance Analysis. Security and Management 2005: 260-268 - [c1]Mohamed Baqer, Asad I. Khan
Implementing a Graph Neuron Array for Pattern Recognition Within Unstructured Wireless Sensor Networks. EUC Workshops 2005: 208-217
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-22 19:41 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: