Multi-level trust-based intelligence schema for securing of internet of things (IoT) against security threats using cryptographic authentication

Mabodi, Kobra; Yusefi, Mehdi; Zandiyan, Shahram; Irankhah, Leili; Fotohi, Reza

doi:10.1007/s11227-019-03137-5

Cited by 86 publications

(55 citation statements)

References 31 publications

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“…Abin = and the coordinates of an antigen are ( ) 1, 2, , Agi Agi Agi Agin = ; the distance between them, , D is the affinity [23]. We can use Eq.…”

Section: 2 Abi Abi Abimentioning

confidence: 99%

Securing of Unmanned Aerial Systems (UAS) against security threats using human immune system

Fotohi

2020

Reliability Engineering & System Safety

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UASs form a large part of the fighting ability of the advanced military forces. In particular, these systems that carry confidential information are subject to security attacks. Accordingly, an Intrusion Detection System (IDS) has been proposed in the proposed design to protect against the security problems using the human immune system (HIS). The IDSs are used to detect and respond to attempts to compromise the target system. Since the UASs operate in the real world, the testing and validation of these systems with a variety of sensors is confronted with problems. This design is inspired by HIS. In the mapping, insecure signals are equivalent to an antigen that are detected by antibody-based training patterns and removed from the operation cycle. Among the main uses of the proposed design are the quick detection of intrusive signals and quarantining their activity. Moreover, SUAS-HIS method is evaluated here via extensive simulations carried out in NS-3 environment. The simulation results indicate that the UAS network performance metrics are improved in terms of false positive rate, false negative rate, detection rate, and packet delivery rate. detection methods to track and to eliminate. In specific, to increase the chance of successfully intercepting a ballistic missile, it is essential to have swift detection and tracking system, capable of detecting and tracking the missile right after it is launched. The designers working on ballistic missile defense networks are aiming the system to be capable of intercepting the missiles during their initial 2 to 5 minutes of flight, which is called the boost phase. During the boost phase, if the trajectory of the missile is directly away from the trajectory of the UAV, it will easily recede from the range of the sensors on the UAV. Hence, the routing of the information used in the network of the sensors of the ballistic missile should be addressed using networks of hybrid wireless sensors capable of complying with high availability and requirements mandated due to security. To demonstrate the UAVs' applications that have an innate time sensitivity, and to signify the urgency of providing security in communication channels, this case is discussed in the following paper [2,3]. However, despite the advantage's UAVs provide through various applications, since there are situations where no pilot monitors the activities, they are potentially vulnerable against cyber threats. This intensifies the emergence to design secure and reliable UASs and overcome the challenges to avoid damage and destruction to other systems as well as human lives [2,3].A number of attacks, such as Wormhole (WH), Black hole (BH), Gray hole (GH), and Fake Information Dissemination (FID), illegally penetrate the system. Once an unmanned system is affected by an attack, removing the threat and bringing the system back online is a laborious task. It should be mentioned that the common methods to secure information, such as encryption or intrusion detection [4], are inadequate when dealing with such risks. T...

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“…Abin = and the coordinates of an antigen are ( ) 1, 2, , Agi Agi Agi Agin = ; the distance between them, , D is the affinity [23]. We can use Eq.…”

Section: 2 Abi Abi Abimentioning

confidence: 99%

Securing of Unmanned Aerial Systems (UAS) against security threats using human immune system

Fotohi

2020

Reliability Engineering & System Safety

Self Cite

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“…Defining an objective function for a feature selection problem requires a classification algorithm. Regarding the fact that most of the researchers prefer to use the simplest classification method for feature selection, which is known as K-nearest neighbors (KNN) classifier [41][42][43][44][45][46][47][48], we use the same method to define the objective function of the feature selection problem in the present paper. Here, Equation 14is used as a multi-objective function for feature selection:…”

Section: -2-1 Dataset and Objective Functionmentioning

confidence: 99%

A New Multi-Agent Approach for Solving Optimization Problems with High-Dimensional: Case Study in Email Spam Detection

Mohmmadzadeh¹,

Gharehchopogh²

2020

Preprint

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There exist numerous high-dimensional problems in the real world which cannot be solved through the common traditional methods. The metaheuristic algorithms have been developed as successful techniques for solving a variety of complex and difficult optimization problems. Notwithstanding their advantages, these algorithms may turn out to have weak points such as lower population diversity and lower convergence rate when facing complex high-dimensional problems. An appropriate approach to solve such problems is to apply multi-agent systems along with the metaheuristic algorithms. The present paper proposes a new approach based on the multi-agent systems and the concept of agent, which is named Multi-Agent Metaheuristic (MAMH) method. In the proposed approach, several basic and powerful metaheuristic algorithms, including Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Artificial Bee Colony (ABC), Firefly Algorithm (FA), Bat Algorithm (BA), Flower Pollination Algorithm (FPA), Gray Wolf Optimizer (GWO), Whale Optimization Algorithm (WOA), Crow Search Algorithm (CSA), Farmland Fertility Algorithm (FFA), are considered as separate agents each of which sought to achieve its own goals while competing and cooperating with others to achieve the common goals. In overall, the proposed method was tested on 32 complex benchmark functions, the results of which indicated effectiveness and powerfulness of the proposed method for solving the high-dimensional optimization problems. In addition, in this paper, the binary version of the proposed approach, called Binary MAMH (BMAMH), was executed on the spam email dataset. According to the results, the proposed method exhibited a higher precision in detection of the spam emails compared to other metaheuristic algorithms and methods.

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“…Moreover, NLEE algorithm guarantees better utilization of the energy available in the nodes. It also regularizes routing delay while discovering the shortest path in the network [13][14][15][16][17][18]. Table 1, summarizes the investigated efforts to design multi-path routing for IoT.…”

Section: Aomdv-iot Techniquementioning

confidence: 99%

Energy Efficient Multi-Path Routing Algorithm Using Gray System Theory for Improvement of Routing and Network Stability in Internet of Things

R¹,

Bagherifard²,

Nejatian³

et al. 2020

Preprint

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Internet of things (IoT) is a network of smart things. This indicates the ability of these physical things to transfer information with other physical things. The characteristics of these networks, such as topology dynamicity and energy constraint, challenges the routing problem in these networks. Previous routing methods could not achieve the required performance in this type of network. Therefore, developers of this network designed and developed specific methods in order to satisfy the requirements of these networks. One of the routing methods is utilization of multi-path protocols which send data to its destination using routes with separate links. One of such protocols is AOMDV routing protocol. In this paper, this method is improved using gray system theory which chooses the best paths used for separate routes to send packets. To do this, AOMDV packet format is altered and some fields are added to it so that energy criteria, link expiration time, and signal to noise ratio can also be considered while selecting the best route. The proposed method named RMPGST-IoT is introduced which chooses the routes with highest rank for concurrent transmission of data, using a specific routine based on the gray system theory. In order to evaluate and report the results, the proposed RMPGST-IoT method is compared to the ERGID and ADRM-IoT approaches with regard to throughput, packet receiving rate, packet loss rate, average remaining energy, and network lifetime. The results demonstrate the superior performance of the proposed RMPGST-IoT compared to the ERGID and ADRM-IoT approaches.

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Multi-level trust-based intelligence schema for securing of internet of things (IoT) against security threats using cryptographic authentication

Cited by 86 publications

References 31 publications

Securing of Unmanned Aerial Systems (UAS) against security threats using human immune system

Securing of Unmanned Aerial Systems (UAS) against security threats using human immune system

A New Multi-Agent Approach for Solving Optimization Problems with High-Dimensional: Case Study in Email Spam Detection

Energy Efficient Multi-Path Routing Algorithm Using Gray System Theory for Improvement of Routing and Network Stability in Internet of Things

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