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Unweighted Voting Method to Detect Sinkhole Attack in RPL-Based Internet of Things Networks

Computers, Materials & Continua 2023年第10期77卷 491-515页

作者： Shadi Al-Sarawi Mohammed Anbar Basim Ahmad Alabsi mohammad adnan aladaileh Shaza Dawood Ahmed Rihan National Advanced IPv6 Centre(NAv6) University Sains MalaysiaGelugorPenang11800Malaysia Applied College Najran UniversityKing Abdulaziz StreetP.O.Box 1988NajranSaudi Arabia Cybersecurity Department School of Information TechnologyAmerican University of Madaba(AUM)Amman11821Jordan

The Internet of Things(IoT)consists of interconnected smart devices communicating and collecting *** Routing Protocol for Low-Power and Lossy Networks(RPL)is the standard protocol for Internet Protocol Version 6(IPv6)in the ***,RPL is vulnerable to various attacks,including the sinkhole attack,which disrupts the network by manipulating routing *** paper proposes the Unweighted Voting Method(UVM)for sinkhole node identification,utilizing three key behavioral indicators:DODAG Information Object(DIO)Transaction Frequency,Rank Harmony,and Power *** indicators have been carefully selected based on their contribution to sinkhole attack detection and other relevant features used in previous *** UVM method employs an unweighted voting mechanism,where each voter or rule holds equal weight in detecting the presence of a sinkhole attack based on the proposed *** effectiveness of the UVM method is evaluated using the COOJA simulator and compared with existing ***,the proposed approach fulfills power consumption requirements for constrained nodes without increasing consumption due to the deployment *** terms of detection accuracy,simulation results demonstrate a high detection rate ranging from 90%to 100%,with a low false-positive rate of 0%to 0.2%.Consequently,the proposed approach surpasses Ensemble Learning Intrusion Detection Systems by leveraging three indicators and three supporting rules.

关键词： Internet of Things IPv6 over low power wireless personal area networks Routing Protocol for Low-Power and Lossy Networks Internet Protocol Version 6 distributed denial of service wireless sensor networks

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Dynamic Threshold-Based Approach to Detect Low-Rate DDoS Attacks on Software-Defined Networking Controller

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Computers, Materials & Continua 2022年第10期73卷 1403-1416页

作者： mohammad adnan aladaileh Mohammed Anbar Iznan H.Hasbullah Abdullah Ahmed Bahashwan Shadi Al-Sarawn National Advanced IPv6 Centre of Excellence Universiti Sains MalaysiaPenangMalaysia

The emergence of a new network architecture,known as Software Defined Networking(SDN),in the last two decades has overcome some drawbacks of traditional networks in terms of performance,scalability,reliability,security,and network ***,the SDN is vulnerable to security threats that target its controller,such as low-rate Distributed Denial of Service(DDoS)attacks,The low-rate DDoS attack is one of the most prevalent attacks that poses a severe threat to SDN network security because the controller is a vital architecture ***,there is an urgent need to propose a detection approach for this type of attack with a high detection rate and low false-positive ***,this paper proposes an approach to detect low-rate DDoS attacks on the SDN controller by adapting a dynamic *** proposed approach has been evaluated using four simulation scenarios covering a combination of low-rate DDoS attacks against the SDN controller involving(i)a single host attack targeting a single victim;(ii)a single host attack targeting multiple victims;(iii)multiple hosts attack targeting a single victim;and(iv)multiple hosts attack targeting multiple *** proposed approach’s average detection rates are 96.65%,91.83%,96.17%,and 95.33%for the above scenarios,respectively;and its average false-positive rates are 3.33%,8.17%,3.83%,and 4.67%for similar scenarios,*** comparison between the proposed approach and two existing approaches showed that it outperformed them in both categories.

关键词： Attack detection controller dynamic threshold entropy algorithm distributed denial of service software defined networking static threshold

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Cloud Datacenter Selection Using Service Broker Policies:A Survey

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Computer Modeling in Engineering & Sciences 2024年第4期139卷 1-41页

作者： Salam Al-E’mari Yousef Sanjalawe Ahmad Al-Daraiseh mohammad Bany Taha mohammad aladaileh Department of Information Security Faculty of ITUniversity of PetraAmman11196Jordan Department of Cybersecurity School of ITAmerican University of Madaba(AUM)Amman11821Jordan Department of Computer Science School of ITAmerican University of Madaba(AUM)Amman11821Jordan Department of Data Science and Artificial Intelligence School of ITAmerican University of Madaba(AUM)Amman11821Jordan

Amid the landscape of Cloud Computing(CC),the Cloud Datacenter(DC)stands as a conglomerate of physical servers,whose performance can be hindered by bottlenecks within the realm of proliferating CC services.A linchpin in CC’s performance,the Cloud Service Broker(CSB),orchestrates DC *** to adroitly route user requests with suitable DCs transforms the CSB into a bottleneck,endangering service *** tackle this,deploying an efficient CSB policy becomes imperative,optimizing DC selection to meet stringent Qualityof-Service(QoS)*** numerous CSB policies,their implementation grapples with challenges like costs and *** article undertakes a holistic review of diverse CSB policies,concurrently surveying the predicaments confronted by current *** foremost objective is to pinpoint research gaps and remedies to invigorate future policy ***,it extensively clarifies various DC selection methodologies employed in CC,enriching practitioners and researchers *** synthetic analysis,the article systematically assesses and compares myriad DC selection *** analytical insights equip decision-makers with a pragmatic framework to discern the apt technique for their *** summation,this discourse resoundingly underscores the paramount importance of adept CSB policies in DC selection,highlighting the imperative role of efficient CSB policies in optimizing CC *** emphasizing the significance of these policies and their modeling implications,the article contributes to both the general modeling discourse and its practical applications in the CC domain.

关键词： Cloud computing cloud service broker datacenter selection quality-of-service user request

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Entropy-Based Approach to Detect DDoS Attacks on Software Defined Networking Controller

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Computers, Materials & Continua 2021年第10期69卷 373-391页

作者： mohammad aladaileh Mohammed Anbar Iznan H.Hasbullah Yousef K.Sanjalawe Yung-Wey Chong National Advanced IPv6 Centre of Excellence Universiti Sains MalaysiaPenangMalaysia Department of Computer Sciences Northern Border UniversityAr’arKingdom of Saudi Arabia

The Software-Defined Networking(SDN)technology improves network management over existing technology via centralized network *** SDN provides a perfect platform for researchers to solve traditional network’s outstanding ***,despite the advantages of centralized control,concern about its security is *** more traditional network switched to SDN technology,the more attractive it becomes to malicious actors,especially the controller,because it is the network’s brain.A Distributed Denial of Service(DDoS)attack on the controller could cripple the entire *** that reason,researchers are always looking for ways to detect DDoS attacks against the controller with higher accuracy and lower false-positive *** paper proposes an entropy-based approach to detect low-rate and high-rate DDoS attacks against the SDN controller,regardless of the number of attackers or *** proposed approach generalized the Rényi joint entropy for analyzing the network traffic flow to detect DDoS attack traffic flow of varying *** two packet header features and generalized Rényi joint entropy,the proposed approach achieved a better detection rate than the EDDSC approach that uses Shannon entropy metrics.

关键词： Software-defined networking DDoS attack distributed denial of service Rényi joint entropy

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