• International Journal of Computer Science & Network Security
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• v.22 no.1
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• pp.139-148
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• 2022

Research into wireless sensor networks (WSNs) is a trendy issue with a wide range of applications. With hundreds to thousands of nodes, most wireless sensor networks interact with each other through radio waves. Limited computational power, storage, battery, and transmission bandwidth are some of the obstacles in designing WSNs. Clustering and routing procedures have been proposed to address these concerns. The wireless sensor network's most complex and vital duty is routing. With the Greedy Perimeter Stateless Routing method (GPSR), an efficient and responsive routing protocol is built. In packet forwarding, the nodes' locations are taken into account while making choices. In order to send a message, the GPSR always takes the shortest route between the source and destination nodes. Weighted directed graphs may be constructed utilising four distinct distance metrics, such as Euclidean, city block, cosine, and correlation distances, in this study. NS-2 has been used for a thorough simulation. Additionally, the GPSR's performance with various distance metrics is evaluated and verified. When compared to alternative distance measures, the proposed GPSR with correlation distance performs better in terms of packet delivery ratio, throughput, routing overhead and average stability time of the cluster head.

• International Journal of Computer Science & Network Security
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• v.23 no.2
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• pp.55-64
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• 2023

The travelling salesman problem (TSP) is an important combinatorial optimization problem that is used in several engineering science branches and has drawn interest to several researchers and scientists. In this problem, a salesman from an arbitrary node, called the warehouse, starts moving and returns to the warehouse after visiting n clients, given that each client is visited only once. The objective in this problem is to find the route with the least cost to the salesman. In this study, a meta-based ant colony system algorithm (ACSA) is suggested to find solution to the TSP that does not use local pheromone update. This algorithm uses the global pheromone update and new heuristic information. Further, pheromone evaporation coefficients are used in search space of the problem as diversification. This modification allows the algorithm to escape local optimization points as much as possible. In addition, 3-opt local search is used as an intensification mechanism for more quality. The effectiveness of the suggested algorithm is assessed on a several standard problem instances. The results show the power of the suggested algorithm which could find quality solutions with a small gap, between obtained solution and optimal solution, of 1%. Additionally, the results in contrast with other algorithms show the appropriate quality of competitiveness of our proposed ACSA.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.6
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• pp.1657-1673
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• 2023

With the advancement of information technology, criminals employ multiple cyberspaces to promote cybercrime. To combat cybercrime and cyber dangers, banks and financial institutions use artificial intelligence (AI). AI technologies assist the banking sector to develop and grow in many ways. Transparency and explanation of AI's ability are required to preserve trust. Deep learning protects client behavior and interest data. Deep learning techniques may anticipate cyber-attack behavior, allowing for secure banking transactions. This proposed approach is based on a user-centric design that safeguards people's private data over banking. Here, initially, the attack data can be generated over banking transactions. Routing is done for the configuration of the nodes. Then, the obtained data can be preprocessed for removing the errors. Followed by hierarchical network feature extraction can be used to identify the abnormal features related to the attack. Finally, the user data can be protected and the malicious attack in the transmission route can be identified by using the Wrapper stepwise ResNet classifier. The proposed work outperforms other techniques in terms of attack detection and accuracy, and the findings are depicted in the graphical format by employing the Python tool.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2022.06a
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• pp.167-168
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• 2022

선박을 운항함에 있어 최적항로를 결정하는 것은 항해시간과 연료 소모를 줄이는 중요한 요인 중의 하나이다. 기존에는 항로를 결정하기 위해 항해사의 전문적인 지식이 요구되지만 이러한 방법은 최적의 항로라고 판단하기 어렵다. 따라서 연료비 절감과 선박의 안전을 고려한 최적의 항로를 생성할 필요가 있다. 연료 소모량 혹은 항해시간을 최소화하기 위해서 에이스타 알고리즘, Dijkstra 알고리즘을 적용한 연구가 있다. 하지만 이러한 연구들은 최단거리만 구할 뿐 선박의 안전, 해상상태 등을 고려하지 못한다. 이를 보완하기 위해 본 연구에서는 강화학습 알고리즘을 적용하고자한다. 강화학습 알고리즘은 앞으로 누적 될 보상을 최대화 하는 행동으로 정책을 찾는 방법으로, 본 연구에서는 강화학습 알고리즘의 하나인 Q-learning을 사용하여 선박의 안전을 고려한 최적의 항로를 생성하는 기법을 제안 하고자 한다.

• Korean Security Journal
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• no.11
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• pp.61-86
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• 2006

Various terrorism in modern society against nation's dignitaries are constantly existing. They damage severely to the society and the nation's security, and they cause disorganizations of social and national rule orders. In order to provide the key figures' perfect protection, the threatening terroizing environment for primary leaders and the route of terrorism should be intercepted. Effective methods of these are summarized as follow. First, recent terrorism against the primary leaders are mostly assassinations, bomb attacks, and suicide bomb attacks, which terminate in a moment. Therefore, security service agents should keep in mind that protection is the best, and government's anti-terrorism agencies should develop policies and set the directions within a new paradigm to the advance anti-terrorism. Second, advance prevention activities against nation's VIP terrorism should be strengthened, such as strengthening security informational activities, constructing cooperative systems of domestic and international facilities, considering continuous system to prevent terrorism, and intensifying safety counterplans of human and material weak points. Third, international cooperative system should be set to apply economical and political sanctions to nations which support terror organizations in direct or indirect ways, and this system needs to strengthen the punishment against terrorists. Fourth, security systems to protect nation's primary leaders should complement, and developing programs for coping with the terrorism and establishing laws for anti-terrorism should be made. Also, educational training of agents who perform anti-terrorism duties should be strengthened, and scientific techniques and equipment for security should be made to protect primary leaders from terrorism.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.25 no.1
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• pp.181-195
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• 2015

Financial industries have operated internal and external network with an unified system for continual business process of customers and other organizations in the past. The financial supervising authority requires more technical and managerial protecting policy to financial industries related to the exposure as danger of external attacks or information leakage. Financial industries performed network separation into internal business and external internet networks for protecting IT assets from malware infection accessing internet or hacking attacks and prohibiting leakage of customers' personal and financial information following financial supervising authority and redefine security policy to fit on network separated-condition. In this study, effectiveness for network separation policy was examined on malware inflow and verified that malware inflow in all routes can be blocked by the policy with analyzing operration data of a financial company, estimating network separation. Result of this study proves that malware infection route by portable storages was not completely blocked even on adapting network-separated condition. As a solution for this, efficient security policy would be suggested in this paper as controlling portable storages for maximizing effectiveness of network separation.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.39B no.4
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• pp.200-206
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• 2014

Accountable Internet Protocol (AIP) is one of the future Internet architectures to provide accountability concept by using the self-certifying address that is derived by the public key of the host. In AIP, when a host sends a packet, a domain that is located between the source and the destination hosts discards the packet in order to verify the source IP address. Therefore, performance degradation can occur due to packet discard especially when there is asymmetric route. In this paper, we propose the improved AIP mechanism to verify the source IP address without discarding the packet by including the timestamp, public key value and the signature for protecting from forfeiting the source address. Security safety of the proposed mechanism is evaluated and the proposed mechanism can provide the more robust security as well as reducing the latency due to discarding packets.

• Journal of Digital Contents Society
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• v.18 no.7
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• pp.1403-1409
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• 2017

As the Internet evolves, security becomes more important. Especially, e-mail has become one of the most important services that companies and ordinary users use on the Internet. However, security vulnerabilities such as sniffing attacks, IDs, and password spoofs are causing many problems. This paper introduces an example of implementation of encrypted mailing program with which the secured mail is encrypted by symmetric key methode and the encrypted message can not be read without proper decryption. In order to use the current mailing systems, we keep the rules related to SMTP and POP3, and only the encrypted message is stored in the mail server system and the message can be decrypted only at the terminals of the senders and the receivers with the key which is shared in advanced by independent route between them. This implementation scheme can provide an efficiency that it does not request any change of current mailing system, which can be an additional security protection.

• Convergence Security Journal
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• v.20 no.3
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• pp.21-28
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• 2020

In recent years, hacking and malware techniques have evolved and become sophisticated and complex, and numerous cyber-attacks are constantly occurring in various fields. Among them, the most widely used route for compromise incidents such as information leakage and system destruction was found to be E-Mails. In particular, it is still difficult to detect and identify E-Mail APT attacks that employ zero-day vulnerabilities and social engineering hacking techniques by detecting signatures and conducting dynamic analysis only. Thus, there has been an increased demand for indicators of compromise (IOC) to identify the causes of malicious activities and quickly respond to similar compromise incidents by sharing the information. In this study, we propose a method of extracting various forensic artifacts required for detecting and investigating Hacking E-Mails, which account for large portion of damages in security incidents. To achieve this, we employed a digital forensic indicator method that was previously utilized to collect information of client-side incidents.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.24 no.3
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• pp.523-533
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• 2014

It has been spent too much time to figure out the incident route when we are facing computer security incident. The incident often recurs moreover the damage is expanded because critical clues are lost while we are wasting time with hesitation. This paper suggests to build a Digital Evidence Map (DEM) in order to find out the incident cause speedy and accurately. The DEM is consist of the log chain which is a mesh relationship between machine data. And the DEM should be managed constantly because the log chain is vulnerable to various external facts. It could help handle the incident quickly and cost-effectively by acquainting it before incident. Thus we can prevent recurrence of incident by removing the root cause of it. Since the DEM has adopted artifacts in data as well as log, we could make effective response to APT attack and Anti-Forensic.