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International Journal of Digital Crime and Forensics最新文献

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A Novel IDS Securing Industrial Control System of Critical Infrastructure Using Deception Technology 一种利用欺骗技术保护关键基础设施工业控制系统的IDS
IF 0.7
International Journal of Digital Crime and Forensics Pub Date : 2022-07-01 DOI: 10.4018/ijdcf.302874
Shaobo Zhang, Yuhang Liu, Dequan Yang
{"title":"A Novel IDS Securing Industrial Control System of Critical Infrastructure Using Deception Technology","authors":"Shaobo Zhang, Yuhang Liu, Dequan Yang","doi":"10.4018/ijdcf.302874","DOIUrl":"https://doi.org/10.4018/ijdcf.302874","url":null,"abstract":"The Industrial Control System (ICS) has become the key concept in the modern industrial world, enabling process monitoring and system control for general industrial systems and critical infrastructures. High-skilled hackers can invade an imperfect ICS by existing vulnerabilities without much effort. Conventional defenses (such as encryption and firewall) to keep invaders away are getting less and less effective when an attack is carried out by exploiting an array of particular vulnerabilities. Under this circumstance, a new-type intrusion detection system (IDS) based on deception strategy using honeypot technique is proposed, which is of dramatic effectiveness in protecting ICSs of critical infrastructures. In this honeypot-based model, we capture malicious Internet flows and system operations. We analyze the collected data before alerting and preventing the intrusion alike when it affects the system in the future. This paper deals with the model's concept, architecture, deployment, and what else can be achieved in the field of Critical Infrastructure Cybersecurity (CIC).","PeriodicalId":44650,"journal":{"name":"International Journal of Digital Crime and Forensics","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83863129","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Web Vulnerability Detection Analyzer Based on Python 基于Python的Web漏洞检测分析器
IF 0.7
International Journal of Digital Crime and Forensics Pub Date : 2022-07-01 DOI: 10.4018/ijdcf.302875
Dawei Xu, Tianxin Chen, Zhonghua Tan, Fudong Wu, Jiaqi Gao, Yunfan Yang
{"title":"Web Vulnerability Detection Analyzer Based on Python","authors":"Dawei Xu, Tianxin Chen, Zhonghua Tan, Fudong Wu, Jiaqi Gao, Yunfan Yang","doi":"10.4018/ijdcf.302875","DOIUrl":"https://doi.org/10.4018/ijdcf.302875","url":null,"abstract":"In the information age, hackers will use Web vulnerabilities to infiltrate websites, resulting in many security incidents. To solve this problem, security-conscious enterprises or individuals will conduct penetration tests on websites to test and analyze the security of websites, but penetration tests often take a lot of time. Therefore, based on the traditional Web vulnerability scanner, the Web vulnerability detection analyzer designed in this article uses vulnerability detection technologies such as sub-domain scanning, application fingerprint recognition, and web crawling to penetrate the website. The vulnerability scanning process of the website using log records and HTML output helps users discover the vulnerability information of the website in a short time, patch the website in time. It can reduce the security risks caused by website vulnerabilities.","PeriodicalId":44650,"journal":{"name":"International Journal of Digital Crime and Forensics","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88889838","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Face Anonymity Based on Facial Pose Consistency 基于面部姿势一致性的面部匿名
IF 0.7
International Journal of Digital Crime and Forensics Pub Date : 2022-07-01 DOI: 10.4018/ijdcf.302872
Junchang Wang
{"title":"Face Anonymity Based on Facial Pose Consistency","authors":"Junchang Wang","doi":"10.4018/ijdcf.302872","DOIUrl":"https://doi.org/10.4018/ijdcf.302872","url":null,"abstract":"With the development of artificial intelligence, there are more and more applications related to face images. The recording of face information causes potential cyber security risks and personal privacy disclosure risks to the public. To solve this problem, we hope to protect face privacy through face anonymity. This paper designs a conditional autoencoder that uses the data preprocessing method of image inpainting. Based on the realistic generation ability of StyleGAN, our autoencoder model introduces facial pose information as conditional information. The input image only contains pre-processed face-removed images. Our method can generate high-resolution images and maintain the posture of the original face. It can be used for identity-independent computer vision tasks. Experiments further proves the effectiveness of our anonymization framework.","PeriodicalId":44650,"journal":{"name":"International Journal of Digital Crime and Forensics","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82573149","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Monocular Depth Matching With Hybrid Sampling and Depth Label Propagation 基于混合采样和深度标签传播的单目深度匹配
IF 0.7
International Journal of Digital Crime and Forensics Pub Date : 2022-07-01 DOI: 10.4018/ijdcf.302879
Ye Hua, Qu Xi Long, Lihua Jin
{"title":"Monocular Depth Matching With Hybrid Sampling and Depth Label Propagation","authors":"Ye Hua, Qu Xi Long, Lihua Jin","doi":"10.4018/ijdcf.302879","DOIUrl":"https://doi.org/10.4018/ijdcf.302879","url":null,"abstract":"This paper proposes a monocular depth label propagation model, which describes monocular images into depth label distribution for the target classification matching. 1) Depth label propagation by hybrid sampling and salient region sifting, improve the discrimination of detection feature categories. 2) Depth label mapping and spectrum clustering to classify target, define the depth of the sorting rules. The experimental results of motion recognition and 3D point cloud processing, show that this method can approximately reach the performance of all previous monocular depth estimation methods. The neural network model black box training learning module is not used, which improves the interpretability of the proposed model.","PeriodicalId":44650,"journal":{"name":"International Journal of Digital Crime and Forensics","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76316161","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Privacy Protection Scheme for Cross-Chain Transactions Based on Group Signature and Relay Chain 基于群签名和中继链的跨链交易隐私保护方案
IF 0.7
International Journal of Digital Crime and Forensics Pub Date : 2022-07-01 DOI: 10.4018/ijdcf.302876
Xiubo Liang, Yu Zhao, Jun-Fen Wu, Keting Yin
{"title":"A Privacy Protection Scheme for Cross-Chain Transactions Based on Group Signature and Relay Chain","authors":"Xiubo Liang, Yu Zhao, Jun-Fen Wu, Keting Yin","doi":"10.4018/ijdcf.302876","DOIUrl":"https://doi.org/10.4018/ijdcf.302876","url":null,"abstract":"Recently, with the rapid development of blockchain technology, the information interaction and value transfer problems between different blockchains have become the focus of research. The cross-chain technology is to solve the cross-chain operation problems of assets and data between different chains. However, the existing cross-chain technology has the problem of identity privacy leakage. Therefore, this article proposes a cross-chain privacy protection scheme for consortium blockchains based on group signature, certificate authority and relay chain. The scheme is divided into three cross-chain service layers, called the management layer, the transaction layer, and the group layer. The management layer is responsible for the forwarding of cross-chain transactions, the transaction layer includes the blockchains that actually participate in cross-chain transactions, and the group layer is responsible for group signature related work. Through this scheme, the identity privacy of both parties to the transaction can be protected during the cross-chain transaction process.","PeriodicalId":44650,"journal":{"name":"International Journal of Digital Crime and Forensics","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73627274","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Security Enhancement Through Compiler-Assisted Software Diversity With Deep Reinforcement Learning 通过深度强化学习的编译器辅助软件多样性来增强安全性
IF 0.7
International Journal of Digital Crime and Forensics Pub Date : 2022-07-01 DOI: 10.4018/ijdcf.302878
Junchao Wang, Jin Wei, J. Pang, Fan Zhang, Shunbin Li
{"title":"Security Enhancement Through Compiler-Assisted Software Diversity With Deep Reinforcement Learning","authors":"Junchao Wang, Jin Wei, J. Pang, Fan Zhang, Shunbin Li","doi":"10.4018/ijdcf.302878","DOIUrl":"https://doi.org/10.4018/ijdcf.302878","url":null,"abstract":"Traditional software defenses take corresponding actions after the attacks are discovered. The defenders in this situation are comparatively passive because the attackers may try many different ways to find vulnerability and bugs but the software remains static. This leads to the imbalance between offense and defense. Software diversity alleviates the current threats by implementing a heterogeneous software system. The N-Variant eXecution (NVX) systems, effective and applicable runtime diversifying methods, apply multiple variants to imporove software security. Higher diversity can lead to less vulnerabilities that attacks can exploit. However, runtime diversifying methods such as address randomization and reverse stack can only provide limited diversity to the system. Thus, we enhance the diversity of variants with a compiler-assisted approach. We use a Deep Reinforcement Learning-based algorithm to generate variants, ensuring the high diversity of the system. For different numbers of variants, we show the results of the Deep Q Network algorithm under different parameter settings.","PeriodicalId":44650,"journal":{"name":"International Journal of Digital Crime and Forensics","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77161344","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Model Study on Hierarchical Assisted Exploration of RBAC RBAC的分层辅助探索模型研究
IF 0.7
International Journal of Digital Crime and Forensics Pub Date : 2022-07-01 DOI: 10.4018/ijdcf.302871
Wan Chen, Daojun Han, Lei Zhang, Qi Xiao, Qiuyue Li, Hongzhen Xiang
{"title":"A Model Study on Hierarchical Assisted Exploration of RBAC","authors":"Wan Chen, Daojun Han, Lei Zhang, Qi Xiao, Qiuyue Li, Hongzhen Xiang","doi":"10.4018/ijdcf.302871","DOIUrl":"https://doi.org/10.4018/ijdcf.302871","url":null,"abstract":"Role-based access control(RBAC) system has been widely used in data security because of its good flexibility and security, wherein RBAC dominates the field of access control. However, the process of establishing RBAC roles is complex and time-consuming, which hinders the development and application of this field. Recently, the introduction of expert interactive q&a algorithm based on attribute exploration has greatly reduced the complexity and time-consuming of RBAC role building process. However, when attributes increases, algorithm will face challenges that the time complexity will explode exponentially with the increase of attributes. To cope with above problems, this paper proposes a hierarchical assisted exploration model of RBAC under attribute-based exploration expert interactive q&a algorithm framework from the view of reducing time-consuming of overall and single role engineering. This model not only avoids time-consuming process of single role requirements, but also reduces time-consuming process of whole role establishment from the overall architecture perspective.","PeriodicalId":44650,"journal":{"name":"International Journal of Digital Crime and Forensics","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72529661","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
A Model of Network Security Situation Assessment Based on BPNN Optimized by SAA-SSA 基于SAA-SSA优化的BPNN网络安全态势评估模型
IF 0.7
International Journal of Digital Crime and Forensics Pub Date : 2022-07-01 DOI: 10.4018/ijdcf.302877
Ran Zhang, Zhi-Peng Pan, Yifeng Yin, Zengyu Cai
{"title":"A Model of Network Security Situation Assessment Based on BPNN Optimized by SAA-SSA","authors":"Ran Zhang, Zhi-Peng Pan, Yifeng Yin, Zengyu Cai","doi":"10.4018/ijdcf.302877","DOIUrl":"https://doi.org/10.4018/ijdcf.302877","url":null,"abstract":"In order to address the problems that the accuracy and convergence of current network security situation assessment models need to be improved, a model of network security situation assessment based on SAA-SSA-BPNN is proposed. Using the characteristics of sparrow search algorithm (SSA) optimized by simulated annealing algorithm (SAA) with good stability, fast convergence speed and is not easy to fall into local optimum to improve the BP neural network (BPNN), so as to find the best fitness individual, and obtain the optimal weight and threshold, then assign them to the BP neural network as the initial values. The preprocessed index data is input into the improved BP neural network model for training, and finally the threat degree of the network system is assessed based on the trained model. Comparative experimental results show that this assessment model has higher accuracy and faster convergence than other situation assessment models based on improved BP neural network.","PeriodicalId":44650,"journal":{"name":"International Journal of Digital Crime and Forensics","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85172116","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Audio Tampering Forensics Based on Representation Learning of ENF Phase Sequence 基于ENF相序列表示学习的音频篡改取证
IF 0.7
International Journal of Digital Crime and Forensics Pub Date : 2022-01-01 DOI: 10.4018/ijdcf.302894
Chunyan Zeng, Yao Yang, Zhifeng Wang, Shuaifei Kong, Shixiong Feng
{"title":"Audio Tampering Forensics Based on Representation Learning of ENF Phase Sequence","authors":"Chunyan Zeng, Yao Yang, Zhifeng Wang, Shuaifei Kong, Shixiong Feng","doi":"10.4018/ijdcf.302894","DOIUrl":"https://doi.org/10.4018/ijdcf.302894","url":null,"abstract":"This paper proposes an audio tampering detection method based on the ENF phase and BI-LSTM network from the perspective of temporal feature representation learning. First, the ENF phase is obtained by discrete Fourier transform of ENF component in audio. Second, the ENF phase is divided into frames to obtain ENF phase sequence characterization, and each frame is represented as the change information of the ENF phase in a period. Then, the BI-LSTM neural network is used to train and output the state of each time step, and the difference information between real audio and tampered audio is obtained. Finally, these differences were fitted and dimensionally reduced by the fully connected network and classified by the Softmax classifier. Experimental results show that the performance of this method is better than the state-of-the-art approaches.","PeriodicalId":44650,"journal":{"name":"International Journal of Digital Crime and Forensics","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89020076","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 16
The Impact of Social Engineer Attack Phases on Improved Security Countermeasures: Social Engineer Involvement as Mediating Variable 社会工程师攻击阶段对改进安全对策的影响:社会工程师参与作为中介变量
IF 0.7
International Journal of Digital Crime and Forensics Pub Date : 2022-01-01 DOI: 10.4018/ijdcf.286762
Louay Karadsheh, Haroun Alryalat, Ja'far Alqatawna, S. Alhawari, M. Al-Jarrah
{"title":"The Impact of Social Engineer Attack Phases on Improved Security Countermeasures: Social Engineer Involvement as Mediating Variable","authors":"Louay Karadsheh, Haroun Alryalat, Ja'far Alqatawna, S. Alhawari, M. Al-Jarrah","doi":"10.4018/ijdcf.286762","DOIUrl":"https://doi.org/10.4018/ijdcf.286762","url":null,"abstract":"The objective of this paper is to examine a model to identify Social Engineer Attack Phases to improve the security countermeasures by Social-Engineer Involvement. A questionnaire was developed and distributed to a sample of 243 respondents who were actively engaged in 3 Jordanian telecommunication companies. All hypotheses were tested using (PLS-SEM). The results of the study indicate that Social Engineer Attack Phases (Identification the potential target, Target Recognition, Decision approach, and Execution) have a partially mediate and significant impact on improving the security countermeasures by Social-Engineer Involvement. On the other hand, the Social Engineer Attack Phases (Information Aggregations, Analysis and Interpretation, Armament, and Influencing) have a fully mediate and significant impact on improving the security countermeasures by Social-Engineer Involvement. The findings of this study help to provide deep insight to help security professionals prepare better and implement the right and appropriate countermeasures, whether technical or soft measures.","PeriodicalId":44650,"journal":{"name":"International Journal of Digital Crime and Forensics","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82892477","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
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