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2020 – today
- 2024
[j20]Emre Aydogan
, Sevil Sen:
Android Authorship Attribution Using Source Code-Based Features. IEEE Access 12: 6569-6589 (2024)- [j19]Erhan Turan, Sevil Sen, Tamer Ergun:
A Semi-Decentralized PKI Based on Blockchain With a Stake-Based Reward-Punishment Mechanism. IEEE Access 12: 60705-60721 (2024) - [c25]Ali Deveci, Selim Yilmaz, Sevil Sen:
CoCoIDS: A Collaborative Intrusion Detection System for IoT based on Co-evolution. IOTSMS 2024: 98-105 - 2023
- [j18]Mehmet Aslan, Sevil Sen:
A dynamic trust management model for vehicular ad hoc networks. Veh. Commun. 41: 100608 (2023) - [c24]Ali Deveci, Selim Yilmaz, Sevil Sen:
Evolving Lightweight Intrusion Detection Systems for RPL-Based Internet of Things. EvoApplications@EvoStar 2023: 177-193 - [c23]Halil Arslan, Selim Yilmaz, Sevil Sen:
Dynamic MAC Scheduling in O-RAN using Federated Deep Reinforcement Learning. SmartNets 2023: 1-8 - [i5]Cansu Dogan, Selim Yilmaz, Sevil Sen:
Assessing the Impact of Mobile Attackers on RPL-based Internet of Things. CoRR abs/2303.16499 (2023) - [i4]Selim Yilmaz, Emre Aydogan, Sevil Sen:
Exploring placement of intrusion detection systems in rpl-based internet of things. CoRR abs/2303.16561 (2023) - [i3]Ozlem Ceviz, Pinar Sadioglu, Sevil Sen:
A Survey of Security in UAVs and FANETs: Issues, Threats, Analysis of Attacks, and Solutions. CoRR abs/2306.14281 (2023) - [i2]Ozlem Ceviz, Pinar Sadioglu, Sevil Sen, Vassilios G. Vassilakis:
A Novel Federated Learning-based Intrusion Detection System for Flying Ad Hoc Networks. CoRR abs/2312.04135 (2023) - 2022
- [j17]Ahmet Melih Gedikli, Mehmet Köseoglu, Sevil Sen:
Deep reinforcement learning based flexible preamble allocation for RAN slicing in 5G networks. Comput. Networks 215: 109202 (2022) - [j16]Beyza Cevik, Nur Altiparmak, Murat Aksu, Sevil Sen:
Lib2Desc: automatic generation of security-centric Android app descriptions using third-party libraries. Int. J. Inf. Sec. 21(5): 1107-1125 (2022) - [c22]Cansu Dogan, Selim Yilmaz, Sevil Sen:
Analysis of RPL Objective Functions with Security Perspective. SENSORNETS 2022: 71-80 - 2021
- [j15]Doruk Pancaroglu, Sevil Sen:
Load balancing for RPL-based Internet of Things: A review. Ad Hoc Networks 116: 102491 (2021) - [j14]Huseyin Alecakir, Burcu Can, Sevil Sen:
Attention: there is an inconsistency between android permissions and application metadata! Int. J. Inf. Sec. 20(6): 797-815 (2021) - [j13]Selim Yilmaz, Emre Aydogan, Sevil Sen:
A Transfer Learning Approach for Securing Resource-Constrained IoT Devices. IEEE Trans. Inf. Forensics Secur. 16: 4405-4418 (2021) - [c21]Ozlem Ceviz, Pinar Sadioglu, Sevil Sen:
Analysis of Routing Attacks in FANETs. ADHOCNETS/TRIDENTCOM 2021: 3-17 - [i1]Sevil Sen, Burcu Can:
Android Security using NLP Techniques: A Review. CoRR abs/2107.03072 (2021) - 2020
- [j12]Selim Yilmaz, Sevil Sen:
Electric fish optimization: a new heuristic algorithm inspired by electrolocation. Neural Comput. Appl. 32(15): 11543-11578 (2020) - [c20]Erdem Canbalaban, Sevil Sen:
A Cross-Layer Intrusion Detection System for RPL-Based Internet of Things. ADHOC-NOW 2020: 214-227
2010 – 2019
- 2019
- [j11]Songul Hasdemir, Selim Yilmaz, Sevil Sen:
A novel multi-featured metric for adaptive routing in mobile ad hoc networks. Appl. Intell. 49(8): 2823-2841 (2019) - [j10]Ahmet Ilhan Aysan, Fatih Sakiz, Sevil Sen:
Analysis of dynamic code updating in Android with security perspective. IET Inf. Secur. 13(3): 269-277 (2019) - [c19]Selim Yilmaz, Sevil Sen:
Early Detection of Botnet Activities Using Grammatical Evolution. EvoApplications 2019: 395-404 - [c18]Mehmet Aslan, Sevil Sen:
Evolving Trust Formula to Evaluate Data Trustworthiness in VANETs Using Genetic Programming. EvoApplications 2019: 413-429 - [c17]Veysel Hatas, Sevil Sen, John A. Clark:
Efficient Evolutionary Fuzzing for Android Application Installation Process. QRS 2019: 62-68 - [c16]Emre Aydogan, Selim Yilmaz, Sevil Sen, Ismail Butun, Stefan Forsström, Mikael Gidlund:
A Central Intrusion Detection System for RPL-Based Industrial Internet of Things. WFCS 2019: 1-5 - 2018
- [j9]Sevil Sen, Emre Aydogan, Ahmet Ilhan Aysan:
Coevolution of Mobile Malware and Anti-Malware. IEEE Trans. Inf. Forensics Secur. 13(10): 2563-2574 (2018) - [c15]Kursat Aktas, Sevil Sen:
UpDroid: Updated Android Malware and Its Familial Classification. NordSec 2018: 352-368 - [c14]Kursat Aktas, Sevil Sen:
Android malware detection based on runtime behaviour. SIU 2018: 1-4 - 2017
- [j8]Fatih Sakiz, Sevil Sen:
A survey of attacks and detection mechanisms on intelligent transportation systems: VANETs and IoV. Ad Hoc Networks 61: 33-50 (2017) - [c13]Sevil Sen, Ahmet Ilhan Aysan, John A. Clark:
SAFEDroid: Using Structural Features for Detecting Android Malwares. ATCS/SePrIoT@SecureComm 2017: 255-270 - 2015
- [j7]Yacine Challal, Enrico Natalizio, Sevil Sen, Anna Maria Vegni:
Internet of Things security and privacy: Design methods and optimization. Ad Hoc Networks 32: 1-2 (2015) - [j6]Ugur Eray Tahta, Sevil Sen, Ahmet Burak Can:
GenTrust: A genetic trust management model for peer-to-peer systems. Appl. Soft Comput. 34: 693-704 (2015) - [j5]Sevil Sen:
Sequence-based masquerade detection for different user groups. Secur. Commun. Networks 8(7): 1265-1278 (2015) - [c12]Ahmet Ilhan Aysan, Sevil Sen:
"Do You Want to Install an Update of This Application?" A Rigorous Analysis of Updated Android Applications. CSCloud 2015: 181-186 - [c11]Emre Aydogan, Sevil Sen:
Automatic Generation of Mobile Malwares Using Genetic Programming. EvoApplications 2015: 745-756 - [c10]Ahmet Ilhan Aysan, Sevil Sen:
API call and permission based mobile malware detection (in english). SIU 2015: 2400-2403 - 2014
- [j4]Sevil Sen:
Using instance-weighted naive Bayes for adapting concept drift in masquerade detection. Int. J. Inf. Sec. 13(6): 583-590 (2014) - [j3]Leyla Bilge, Sevil Sen, Davide Balzarotti, Engin Kirda, Christopher Kruegel:
Exposure: A Passive DNS Analysis Service to Detect and Report Malicious Domains. ACM Trans. Inf. Syst. Secur. 16(4): 14 (2014) - [c9]Ugur Eray Tahta, Ahmet Burak Can, Sevil Sen:
Evolving a Trust Model for Peer-to-Peer Networks Using Genetic Programming. EvoApplications 2014: 3-14 - [c8]Emre Aydogan, Sevil Sen:
Analysis of machine learning methods on malware detection. SIU 2014: 2066-2069 - 2013
- [c7]Rahem Abri, Sevil Sen:
A Lightweight Threshold-Based Improvement on DSDV. ADHOCNETS 2013: 135-145 - [c6]Sevil Sen:
A new approach for detection of insider attacks. SIU 2013: 1-4 - 2012
- [j2]Sevil Sen, Ebru Akcapinar Sezer, Candan Gokceoglu, Saffet Yagiz:
On sampling strategies for small and continuous data with the modeling of genetic programming and adaptive neuro-fuzzy inference system. J. Intell. Fuzzy Syst. 23(6): 297-304 (2012) - [c5]Sevil Sen, Zeynep Dogmus:
Feature Selection for Detection of Ad Hoc Flooding Attacks. ACITY (1) 2012: 507-513 - [c4]Zeynep Dogmus, Sevil Sen:
SVM-based detection of ad hoc flooding attacks. SIU 2012: 1-4 - 2011
- [j1]Sevil Sen, John A. Clark:
Evolutionary computation techniques for intrusion detection in mobile ad hoc networks. Comput. Networks 55(15): 3441-3457 (2011)
2000 – 2009
- 2009
- [c3]Sevil Sen, John A. Clark, Juan E. Tapiador:
Power-Aware Intrusion Detection in Mobile Ad Hoc Networks. ADHOCNETS 2009: 224-239 - [c2]Sevil Sen, John Andrew Clark:
A grammatical evolution approach to intrusion detection on mobile ad hoc networks. WISEC 2009: 95-102 - [p1]Sevil Sen, John Andrew Clark:
Intrusion Detection in Mobile Ad Hoc Networks. Guide to Wireless Ad Hoc Networks 2009: 427-454 - 2008
- [c1]Sevil Sen, John A. Clark:
Evolving Intrusion Detection Rules on Mobile Ad Hoc Networks. PRICAI 2008: 1053-1058
Coauthor Index
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