Papers by Keyword: Attack

Abstract: The Mirai botnet malware creates a botnet by compromising Internet of Things (IoT) devices, including cameras and digital video recorders that are linked to a network. Individually, IoT devices lack significant processing power; however, when a vast number of these devices are utilized together, it becomes feasible to commence a high-powered attack. Mirai mutations are generated daily and continue to proliferate, inflict damages resulting in distributed denial-of-service (DDoS) attack which maliciously attempt to disrupt a server service or network traffic by flooding the target infrastructure with excessive amount of Internet traffic, using intrusion methods as the original malware is indicative of IoT device vendors’ chronic neglect in applying even basic security practices. To understand how Mirai operates, we used the Build Your Own Botnet (BYOB) variant to simulate a botnet attack. The BYOB source code was setup and deployed in a controlled lab environment to simulate botnet-driven DDoS attacks against our IoT devices communicating over AMQP using RabbitMQ sever. The simulation resulted in memory usage increase from 682M/5.79G before attack to 1.71G/5.79G during attack. This indicates system stress exerted on the IoT ecosystem by bots from the Mirai botnet attack, thereby reducing the performance of the IoT devices and making it unresponsive.

Abstract: Armyworm (Spodoptera frugiperda) is a pest on several food crops including soybeans and corn. Armyworm control still emphasizes the use of resistant varieties and insecticides. Alternative efforts are needed to use more environmentally-friendly control methods, including the use of organic pesticides from biological materials. The control of Spodoptera frugiperda was carried out by testing the application of several types of organic pesticides at the same concentration of 50%. The purpose of this study was to determine the type of pesticide that was most effective in reducing mortality and attack from Spodoptera frugiperda. The study was started by doing mass propagation of S. frugiperda larvae, S. frugiperda larvae investment, and mortality test. The test used the Randomized Block Design (RBD) method using several organic pesticides consisting of five treatments, namely P0 (control), P1 (tobacco), P2 (shallot), P3 (garlic), and P4 (papaya leaves), P5 (blimbing wuluh leaves), P6 (Jatropa curcas fruit), P7 (lemongrass). The results of the application of organic pesticides on the mortality and attack rate of S. frugiperda had a significant effect. Organic pesticides that are most effective in reducing the mortality and attack rates of S. frugiperda are pesticides made from tobacco (Nicotiana tabacum). At a concentration of 50% organic pesticides made from tobacco can reduce the mortality of S. frugiperda up to 100%. Tobacco-based pesticides also received the lowest land attack rate at 46%. Organic pesticides applied to S. frugiperda larvae also affect the growth of S. frugiperda pupae.

Abstract: Through vehicular platooning, a group of autonomous vehicles move together under the same control law with maintaining constant inter-vehicle distance and velocity. Owing to many advantages in the aspect of economy, environment, and safety, platoon has been developed for AHS (Automated Highway System). But there is little study of platoon in adversarial environment. Since vehicle safety is directly related to a passenger’s life, the in-depth study of adversarial platooning is of crucial importance. In this paper, we present that an attacker in platoon can cause serious accident just by slightly modifying control law and also discuss the control system designed for mitigating the damage of accident caused by the attacker.

Abstract: Modern encryption algorithms will focus on transforming rendered text block into a non-rendered block of symbols. The objective is to make the cipher block more non-interpretable. Distinguisher attack algorithm is used to distinguish cipher text from random permutation and other related algorithms. Currently, a cipher has been design to concentrate on distinguisher attack. In this research work, we have attempted to distinguish the cipher blocks of AES-128 (Advanced Encryption Standard) and AES-256 symmetric block cipher algorithms using an artificial neural network based classifier.

Abstract: Data fusion technology is widely used in data processing due to its characteristic of less transfer data. However, with the continuous application of wireless sensor networks, it raises higher demands for information integrity and privacy, data fusion faces new challenges. The paper focuses on issues related to the integration of wireless sensor network security data, analyzes its attack types of surface degrees and the need for security protection.

Abstract: This paper discusses the application of wireless sensor network in the smart grid and information security requirements, such as confidentiality, integrity, availability, and data freshness. We also analyze the physical attack and several typical network attacks of WSNs in smart grid. We elaborate the implementation process, characteristics and the hazards to the power grid of these attacks. In the paper, we propose a communications security policy of WSNs in smart grid and corresponding information security technologies, we analyze the characteristics and existing solutions of such information security technology, then we propose corresponding solutions of security technology applicable to smart grid. In the end, we summarize some issues in the realization of WSNs security technologies in smart grid and discuss the latest trends.

Abstract: A QR code is more and more widely used in recent years. The two-dimensional bar-code can be seen in business cards, advertising, or web page and everywhere. But there exist some potential security dangers behind scanning those codes. Hence it have being obstacles to the widely using of QR code scanning software in some degree. This article analyzes several kinds of known attacks tricks through the QR code, and puts forward that the most efficient technology in protect the QR code scanning software is code encryption and white list . Finally An Android security protection model is given.

Abstract: This paper focuses on different password guessing attack forms of attacker performed based on the strand spaces model. We extend the attacker’s strand spaces model in order to describe and analyze the guessing ability of the attacker. A protocol has been improved by the use of Hash function. The improved protocol has been proved to resist password guessing attack.

Abstract: Among many user authentications over insecure networks, password authentication is simple, convenient and widely adopted one. Chen and Lee proposed a new hash-based password authentication using smart card and claimed that their scheme could resist seven attacks as listed in their paper. However, in this paper, it is pointed out that Chen-Lee’s scheme is vulnerable to off-line password guessing, replay and impersonation attacks when the smart card is lost or stolen.

Abstract: Wireless sensor network is one of the three emerging technologies which have changed peoples life in the 21st century. More and more scholars at home and abroad are interested in wireless sensor network because of its vast potentials for future development. However, because of openness of the wireless sensor network, it is easily attacked by several network aspects. This paper will introduce the basic concept of wireless sensor network first and then present potential safety hazards on each protocol stack layer of the wireless sensor network from the perspective of layered network. An overview of the current popular means of defense on each protocol stack layer will also be summarized and the future research trend of attack and defense means of the wireless sensor network will be put forward finally in this paper.