CLASSIFICATION OF SOURCE CODEVULNERABILITIES AND ANALYSIS OF DETECTIONMETHODS: EVALUATION, COMPARISON, ANDPROPOSED APPROACHES
Nin Ho Le Viet1,2 , Chieu Ta Quang2 , Cuong Nguyen Van3 and Tuan Nguyen Kim3 1School of Computer Science, Duy Tan University, Danang, Vietnam 2Faculty of Computer Science and … Continue reading
IJCNC 06
HLEVRA: AN EFFICIENT RESOURCE ALLOCATION STRATEGY FOR UPLINK AND DOWNLINK IN 6G NETWORKS ABSTRACT During the last decade, there has been a massive development of wireless networks, and nowadays 4G … Continue reading
IJCNC 7
COMPARATIVE ANALYSIS OF BLACK-BOX TARGETED ADVERSARIAL ATTACKS ON DL-BASED NIDS: A STUDY OF C&W AND JSMA USING CICDDOS2019 ABSTRACT Deep and machine learning (DL/ML) models are extensively used in cybersecurity … Continue reading
IJCNC 03
TOWARDS OPTIMAL MIMO-OFDM WAVEFORMS : A LOW-PAPR TRANSMISSION STRATEGY WITH ARTIFICIAL NEURAL NETWORKS Fatma Ben Salah 1, Abdelhakim Khlifi 2, Marwa Rjili 1 and Belgacem Chibani 1 , 1University of Gabes, Tunisia, 2University of Carthage, Tunisia ABSTRACT … Continue reading
IJNSA 02
EMPIRICAL TELEMETRY-BASED METRICS FOREVALUATING HONEYPOT REALISM ANDDECEPTION EFFECTIVENESS Teresita Noelia Nunez Migliorisi Electrical and Computer Engineering, University of Delaware, Delaware, USA ABSTRACT Honeypots remain critical tools for cyber deception, adversarial … Continue reading
IJCNC 05
AOASS: Adaptive Obstacle-Aware Square Spiral Framework for Single-Mobile-Anchor-Based WSN Localization Abdelhady Naguib 1, 21Department of Computer Science, College of Computer and Information Sciences, JoufUniversity, Sakaka, Saudi Arabia2Department of Systems and … Continue reading
IJNSA 05
OTN IN THE 5G ERA: TRANSPORTING MASSIVEIP-BASED MOBILE TRAFFIC Joy Selasi Agbesi Department; J. Warren McClure School of Emerging Communication & Technology,Ohio University, USA ABSTRACT Fifth-generation (5G) mobile networks impose … Continue reading
IJSNA 03
Advanced Graph Neural Network Mechanisms for IoT Network Intrusion Detection: A Comprehensive Study of Prototype-Based, Contrastive, and Structure Learning Approaches Mehmet Baris Yaman Foundational Technology, Siemens A.S¸., Istanbul, Turkey Abstract. … Continue reading
IJNSA 03
Advanced Graph Neural Network Mechanisms for IoT Network Intrusion Detection: A Comprehensive Study of Prototype-Based, Contrastive, and Structure Learning Approaches Mehmet Baris Yaman Foundational Technology, Siemens A.S¸., Istanbul, Turkey Abstract. … Continue reading
International Journal of Programming Languages and Applications (IJPLA)
ISSN: 1839 – 6291https://wireilla.com/ijpla/index.html Scope & Topics: International Journal of Programming Languages and Applications (IJPLA) is a Quarterly peer-reviewed and refereed open access journal that publishes articles which contribute new results … Continue reading
International Journal of Computer Networks & Communications (IJCNC) 