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Biju Issac 0001
Person information
- affiliation: Northumbria University, UK
- affiliation (former): Teesside University, Middlesbrough, UK
Other persons with the same name
- Biju Issac 0002 — University of Miami, FL, USA
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2020 – today
- 2024
- [j25]Zahid Ahmed
, Biju Issac
Ok-NB: An Enhanced OPTICS and k-Naive Bayes Classifier for Imbalance Classification With Overlapping. IEEE Access 12: 57458-57477 (2024) - [j24]Aschalew Tirulo
Ensemble LOF-based detection of false data injection in smart grid demand response system. Comput. Electr. Eng. 116: 109188 (2024) - [j23]Rahul Yumlembam, Biju Issac
Comprehensive Botnet Detection by Mitigating Adversarial Attacks, Navigating the Subtleties of Perturbation Distances and Fortifying Predictions with Conformal Layers. Inf. Fusion 111: 102529 (2024) - [i16]Rahul Yumlembam, Biju Issac, Seibu Mary Jacob, Longzhi Yang:
Comprehensive Botnet Detection by Mitigating Adversarial Attacks, Navigating the Subtleties of Perturbation Distances and Fortifying Predictions with Conformal Layers. CoRR abs/2409.00667 (2024) - 2023
- [j22]Lida Ketsbaia, Biju Issac
A Multi-Stage Machine Learning and Fuzzy Approach to Cyber-Hate Detection. IEEE Access 11: 56046-56065 (2023) - [j21]Rahul Yumlembam
IoT-Based Android Malware Detection Using Graph Neural Network With Adversarial Defense. IEEE Internet Things J. 10(10): 8432-8444 (2023) - [j20]Rupam Kumar Sharma, Biju Issac
Plant and Salamander Inspired Network Attack Detection and Data Recovery Model. Sensors 23(12): 5562 (2023) - [c19]Rahul Yumlembam, Biju Issac
Android Malware Classification and Optimisation Based on BM25 Score of Android API. INFOCOM Workshops 2023: 1-6 - 2022
- [c18]Husnain Rafiq
An Investigation on Fragility of Machine Learning Classifiers in Android Malware Detection. INFOCOM Workshops 2022: 1-6 - [c17]Jeyamohan Neera, Xiaomin Chen, Nauman Aslam, Biju Issac
A Local Differential Privacy based Hybrid Recommendation Model with BERT and Matrix Factorization. SECRYPT 2022: 325-332 - [c16]Husnain Rafiq
On Impact of Adversarial Evasion Attacks on ML-based Android Malware Classifier Trained on Hybrid Features. SKIMA 2022: 216-221 - 2021
- [e1]Ajith Abraham, Yukio Ohsawa, Niketa Gandhi, M. Akhil Jabbar, Abdelkrim Haqiq, Seán F. McLoone, Biju Issac
Proceedings of the 12th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2020), 15-18 December 2020. Advances in Intelligent Systems and Computing 1383, Springer 2021, ISBN 978-3-030-73688-0 [contents] - 2020
- [j19]Simran Gibson
Detecting Spam Email With Machine Learning Optimized With Bio-Inspired Metaheuristic Algorithms. IEEE Access 8: 187914-187932 (2020) - [c15]Jordan Stobbs, Biju Issac
Phishing Web Page Detection Using Optimised Machine Learning. TrustCom 2020: 483-490 - [c14]Lida Ketsbaia, Biju Issac
Detection of Hate Tweets using Machine Learning and Deep Learning. TrustCom 2020: 751-758 - [c13]Jack Pye, Biju Issac
Android Malware Classification Using Machine Learning and Bio-Inspired Optimisation Algorithms. TrustCom 2020: 1777-1782
2010 – 2019
- 2019
- [j18]Rupam Kumar Sharma
Intrusion Detection and Response System Inspired by the Defense Mechanism of Plants. IEEE Access 7: 52427-52439 (2019) - [j17]Niddal H. Imam
A Semi-Supervised Learning Approach for Tackling Twitter Spam Drift. Int. J. Comput. Intell. Appl. 18(2): 1950010:1-1950010:17 (2019) - 2018
- [j16]Syed Ali Raza Shah, Biju Issac
Performance comparison of intrusion detection systems and application of machine learning to Snort system. Future Gener. Comput. Syst. 80: 157-170 (2018) - [j15]Syed Ali Raza Shah, Biju Issac
Intelligent Intrusion Detection System Through Combined and Optimized Machine Learning. Int. J. Comput. Intell. Appl. 17(2): 1850007:1-1850007:17 (2018) - [j14]Esha Barlaskar, Yumnam Jayanta Singh, Biju Issac
Enhanced cuckoo search algorithm for virtual machine placement in cloud data centres. Int. J. Grid Util. Comput. 9(1): 1-17 (2018) - [j13]Bismita Choudhury, Patrick H. H. Then, Biju Issac
A Survey on Biometrics and Cancelable Biometrics Systems. Int. J. Image Graph. 18(1): 1850006:1-1850006:39 (2018) - [j12]Rupam Kumar Sharma
Are machine learning based intrusion detection system always secure? An insight into tampered learning. J. Intell. Fuzzy Syst. 35(3): 3635-3651 (2018) - [c12]Kamlesh Mistry, Biju Issac
Multi-Population Differential Evolution for Retinal Blood Vessel Segmentation. ICARCV 2018: 424-429 - [c11]Mohammed F. Suleiman
Performance Comparison of Intrusion Detection Machine Learning Classifiers on Benchmark and New Datasets. ICCTA 2018: 19-23 - [c10]Kamlesh Mistry, Jyoti Jasekar, Biju Issac
Extended LBP based Facial Expression Recognition System for Adaptive AI Agent Behaviour. IJCNN 2018: 1-7 - 2017
- [j11]Lauretha Rura, Biju Issac
Online Voting System based on Image Steganography and Visual Cryptography. J. Comput. Inf. Technol. 25(1): 47-61 (2017) - [j10]Viktor Richert
Implementation of a Modified Wireless Sensor Network MAC Protocol for Critical Environments. Wirel. Commun. Mob. Comput. 2017 (2017) - [i15]Syed Ali Raza Shah, Biju Issac:
Performance Comparison of Intrusion Detection Systems and Application of Machine Learning to Snort System. CoRR abs/1710.04843 (2017) - 2016
- [j9]Wael Alzaid, Biju Issac
Analysis of IPv6 through Implementation of Transition Technologies and Security Attacks. Int. J. Bus. Data Commun. Netw. 12(1): 36-62 (2016) - [j8]Lauretha Rura, Biju Issac
Implementation and Evaluation of Steganography Based Online Voting System. Int. J. Electron. Gov. Res. 12(3): 71-93 (2016) - [j7]Esha Barlaskar, Yumnam Jayanta Singh
Energy-efficient virtual machine placement using enhanced firefly algorithm. Multiagent Grid Syst. 12(3): 167-198 (2016) - [c9]Kuruvilla Mathew, Biju Issac
Evaluation of antenna performance for use in wide band wireless protocols. APCC 2016: 54-61 - 2015
- [j6]Mohanad Albayati, Biju Issac
Analysis of Intelligent Classifiers and Enhancing the Detection Accuracy for Intrusion Detection System. Int. J. Comput. Intell. Syst. 8(5): 841-853 (2015) - [c8]Kuruvilla Mathew, Biju Issac
Performance analysis of RTS/CTS protocol over Basic Access in wireless networks. CITA 2015: 1-6 - [c7]Rupam Kumar Sharma
PIRIDS: A Model on Intrusion Response System Based on Biologically Inspired Response Mechanism in Plants. IBICA 2015: 105-116 - [i14]Mohanad Albayati, Biju Issac:
Analysis of Intelligent Classifiers and Enhancing the Detection Accuracy for Intrusion Detection System. CoRR abs/1509.08239 (2015) - 2014
- [j5]Amir Mohammad Shahi, Biju Issac
Automatic Analysis of Corporate Sustainability Reports and Intelligent Scoring. Int. J. Comput. Intell. Appl. 13(1) (2014) - [c6]Kuruvilla Mathew, Biju Issac
A communication architecture using low frequency signals. ICDSE 2014: 188-193 - [i13]A. Albkerat, Biju Issac
Analysis of IPv6 Transition Technologies. CoRR abs/1410.2013 (2014) - [i12]Biju Issac
Wireless Mobility Management with Prediction, Delay Reduction and Resource Management in 802.11 Networks. CoRR abs/1410.4180 (2014) - [i11]Jashua Rajesh Modapothala, Biju Issac
Analysis of corporate environmental reports using statistical techniques and data mining. CoRR abs/1410.4182 (2014) - [i10]Seibu Mary Jacob, Biju Issac
The mobile devices and its mobile learning usage analysis. CoRR abs/1410.4375 (2014) - [i9]Biju Issac
Hybrid Mobility Prediction of 802.11 Infrastructure Nodes by Location Tracking and Data Mining. CoRR abs/1410.4377 (2014) - [i8]Seibu Mary Jacob, Biju Issac
Mobile Learning Culture and Effects in Higher Education. CoRR abs/1410.4379 (2014) - [i7]Biju Issac:
Secure ARP and Secure DHCP Protocols to Mitigate Security Attacks. CoRR abs/1410.4398 (2014) - [i6]Biju Issac
Analysis of Phishing Attacks and Countermeasures. CoRR abs/1410.4672 (2014) - [i5]Seibu Mary Jacob, Biju Issac
Formative Assessment and its E-learning Implementation. CoRR abs/1410.4675 (2014) - [i4]Seibu Mary Jacob, Biju Issac
Problem Based Learning and Implementations. CoRR abs/1410.4677 (2014) - [i3]Biju Issac
QoS Survey in IPv6 and Queuing Methods. CoRR abs/1410.4695 (2014) - [i2]Biju Issac, Khairuddhin Ab Hamid, C. E. Tan:
Analysis of Demand Driven Ad-hoc Routing Protocols on Performance and Mobility. CoRR abs/1410.4700 (2014) - [i1]Shuang Song, Biju Issac
Analysis of WiFi and WiMAX and Wireless Network Coexistence. CoRR abs/1412.0721 (2014) - 2013
- [c5]Kuruvilla Mathew, Biju Issac
Ambient noise analysis on sound for use in wireless digital transmission. CITA 2013: 1-4
2000 – 2009
- 2009
- [j4]Biju Issac:
Secure ARP and Secure DHCP Protocols to Mitigate Security Attacks. Int. J. Netw. Secur. 8(2): 107-118 (2009) - [c4]Jashua Rajesh Modapothala, Biju Issac
Appraising the Corporate Sustainability Reports - Text Mining and Multi-Discriminatory Analysis. SCSS 2009: 489-494 - 2008
- [j3]Seibu Mary Jacob, Biju Issac:
Mobile Technologies and its Impact - An Analysis in Higher Education Context. Int. J. Interact. Mob. Technol. 2(1) (2008) - [c3]Biju Issac
First Level Text Prediction using Data Mining and Letter Matching in IEEE 802.11 Mobile Devices. SCSS (1) 2008: 319-324 - [c2]Biju Issac
Effects of Online MCQ Tests on Student Learning. EIAT/IETA 2008: 403-408 - 2007
- [j2]Lawan A. Mohammed, Biju Issac
Detailed DoS attacks in wireless networks and countermeasures. Int. J. Ad Hoc Ubiquitous Comput. 2(3): 157-166 (2007) - [j1]Biju Issac
War Driving and WLAN Security Issues - Attacks, Security Design and Remedies. Inf. Syst. Manag. 24(4): 289-298 (2007) - 2006
- [c1]Seibu Mary Jacob, Biju Issac, Yakub Sebastian:
Impact on Student Learning From Traditional Continuous Assessment and an E-Assessment Proposal. PACIS 2006: 63
Coauthor Index
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