2016 4th International Symposium on Digital Forensic and Security (ISDFS)最新文献_第3页

Integrated model: Statistical features, memory analysis for scanner and printer forensics 集成模型:统计功能，内存分析扫描仪和打印机取证

2016 4th International Symposium on Digital Forensic and Security (ISDFS) Pub Date : 2016-04-25 DOI: 10.1109/ISDFS.2016.7473521

Shah Fahd, Mian Muhammad Waseem Iqbal, Muhammad Arif, Muhammad Imran Javed

{"title":"Integrated model: Statistical features, memory analysis for scanner and printer forensics","authors":"Shah Fahd, Mian Muhammad Waseem Iqbal, Muhammad Arif, Muhammad Imran Javed","doi":"10.1109/ISDFS.2016.7473521","DOIUrl":"https://doi.org/10.1109/ISDFS.2016.7473521","url":null,"abstract":"Printer and scanner can be used in illegal activities varying from corporate office violation to criminal activities and gathering printer artifacts in this regard can be very vital to held someone inculpatory or exculpatory. Every printer and scanner has its inherent properties and one of them is intrinsic signatures which are translated in printed/scanned documents as well. By inspecting these intrinsic properties in questioned document we can trace source printer. To identify signatures statistical techniques are used, images are filtered using averaging method, median filter and weiner filter to remove unnecessary noise content. Based upon noise content printers/scanners are identified. In addition memory content of printers and scanners can also be used for forensics investigation. Documents are queued in printer/scanner memory before printing/scanning and once printed/scanned, memory contents are still latched until another document is requested for printing/scanning. Integrating these two properties will achieve effective evidence in a scenario in which if a questioned document is modified and coarse area is disturbed, memory contents of printer/scanner will help finding the artifacts. This research proposes an integrated model for detecting printer and scanner from forensic artifacts.","PeriodicalId":136977,"journal":{"name":"2016 4th International Symposium on Digital Forensic and Security (ISDFS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124978662","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

Android malware analysis approach based on control flow graphs and machine learning algorithms 基于控制流图和机器学习算法的Android恶意软件分析方法

2016 4th International Symposium on Digital Forensic and Security (ISDFS) Pub Date : 2016-04-25 DOI: 10.1109/ISDFS.2016.7473512

M. Atici, Ş. Sağiroğlu, I. Dogru

引用次数: 26

Real time face recognition system (RTFRS) 实时人脸识别系统

2016 4th International Symposium on Digital Forensic and Security (ISDFS) Pub Date : 2016-04-25 DOI: 10.1109/ISDFS.2016.7473527

Suad Haji, A. Varol

{"title":"Real time face recognition system (RTFRS)","authors":"Suad Haji, A. Varol","doi":"10.1109/ISDFS.2016.7473527","DOIUrl":"https://doi.org/10.1109/ISDFS.2016.7473527","url":null,"abstract":"Biometrics is a term used to define an individual's DNA, hand geometry, face, etc. or behavioral characteristics, such as hand signature, voice tone, keystrokes and so on. For that reason, these biological characteristics are unique for every individual. In many situations, face recognition related technologies are becoming more popular among biometric-based technologies that measure an individual's natural data. Genetic biometrics has generally used to authenticate and identify individuals by analyzing their physical characteristics, such as fingerprint, eye iris, vein etc. Instead of using a bankcard, a camera installed at the Automated Teller Machines would capture pictures of faces of customers, and compare them with the photos of account holders in the database of banks to verify the customer's identity. The purpose of this paper is to present a Windows based real time application system using face recognition algorithms. This new system can be applied in various different fields such as identity verification and other potential commercial applications. Both Eigen and Local Binary Patterns face algorithms were used to reduce the impact of light exposure that will affect the accuracy of the system.","PeriodicalId":136977,"journal":{"name":"2016 4th International Symposium on Digital Forensic and Security (ISDFS)","volume":"139 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114665241","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: 12

Occlusion analysis for face frontalization 人脸正面化的遮挡分析

2016 4th International Symposium on Digital Forensic and Security (ISDFS) Pub Date : 2016-04-25 DOI: 10.1109/ISDFS.2016.7473525

Anil Çelik, N. Arica

引用次数: 2

Previously overlooked bias signatures for RC4 以前忽略的RC4的偏置签名

2016 4th International Symposium on Digital Forensic and Security (ISDFS) Pub Date : 2016-04-25 DOI: 10.1109/ISDFS.2016.7473526

M. Hammood, K. Yoshigoe

引用次数: 4

Model of hierarchical disk investigation 分层磁盘调查模型

2016 4th International Symposium on Digital Forensic and Security (ISDFS) Pub Date : 2016-04-25 DOI: 10.1109/ISDFS.2016.7473523

Umit Karabiyik, S. Aggarwal

引用次数: 3

Visualization of the social bot's fingerprints 社交机器人指纹的可视化

2016 4th International Symposium on Digital Forensic and Security (ISDFS) Pub Date : 2016-04-25 DOI: 10.1109/ISDFS.2016.7473536

Mehmet Kaya, Shannon N. Conley, A. Varol

{"title":"Visualization of the social bot's fingerprints","authors":"Mehmet Kaya, Shannon N. Conley, A. Varol","doi":"10.1109/ISDFS.2016.7473536","DOIUrl":"https://doi.org/10.1109/ISDFS.2016.7473536","url":null,"abstract":"As the number of social media users increases for platforms such as Twitter, Facebook, and Instagram, so does the number of bot or spam accounts on these platforms. Typically, these bots or spam accounts are automated programmatically using the social media site's API and attempt to convey or spread a particular message. Some bots are designed for marketers trying to sell products or attract users to new sites. Other types of bots are much more malicious and disseminate misinformation that harms or tricks users. Such bots (fake accounts) may lead to serious consequences, as people's social network has become one of the determining factors in their general decision making. Therefore, these accounts have the potential to influence people's opinions drastically and hence real life events as well. Through different machine learning techniques, researchers have now begun to investigate ways to detect these types of malicious accounts automatically. To successfully differentiate between real accounts and bot accounts, a comprehensive analysis of the behavioral patterns of both types of accounts is required. In this paper, we investigate ways to select the best features from a data set for automated classification of different types of social media accounts (ex. bot versus real account) via visualization. To help select better feature combinations, we try to visualize which features may be more effective for classification using self-organizing maps.","PeriodicalId":136977,"journal":{"name":"2016 4th International Symposium on Digital Forensic and Security (ISDFS)","volume":"16 11-12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121006276","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: 6

The metadata legal conundrum from a public records act perspective 从公共记录法案的角度来看元数据的法律难题

2016 4th International Symposium on Digital Forensic and Security (ISDFS) Pub Date : 2016-04-25 DOI: 10.1109/ISDFS.2016.7473531

Alejandro Villegas

引用次数: 0

Use of HOG descriptors in phishing detection 在网络钓鱼检测中使用HOG描述符

2016 4th International Symposium on Digital Forensic and Security (ISDFS) Pub Date : 2016-04-25 DOI: 10.1109/ISDFS.2016.7473534

A. S. Bozkir, E. Sezer

{"title":"Use of HOG descriptors in phishing detection","authors":"A. S. Bozkir, E. Sezer","doi":"10.1109/ISDFS.2016.7473534","DOIUrl":"https://doi.org/10.1109/ISDFS.2016.7473534","url":null,"abstract":"Phishing is a scamming activity which deals with making a visual illusion on computer users by providing fake web pages which mimic their legitimate targets in order to steal valuable digital data such as credit card information or e-mail passwords. In contrast to other anti-phishing attempts this paper proposes to evaluate and solve this problem by leveraging a pure computer vision based method in the concept of web page layout similarity. Proposed approach employs Histogram of Oriented Gradients (HOG) descriptor in order to capture cues of page layout without the need of time consuming intermediate stage of segmentation. Moreover, histogram intersection kernel has been used as a similarity metric for computing similarity. Thus, an efficient and fast phishing page detection scheme has been developed in order to combat with zero-day phishing page attacks. To verify the efficiency of our phishing page detection mechanism, 50 unique phishing pages and their legitimate targets have been collected. Furthermore, 100 pairs of legitimate pages have been gathered. As the next stage, the similarity scores in these two groups were computed and compared. According to promising results, similarity degree around 75% and above can be adequate for alarming.","PeriodicalId":136977,"journal":{"name":"2016 4th International Symposium on Digital Forensic and Security (ISDFS)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114479039","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: 19

Advanced cargo security handheld network access device 先进的货物安全手持网络接入设备

2016 4th International Symposium on Digital Forensic and Security (ISDFS) Pub Date : 2016-04-25 DOI: 10.1109/ISDFS.2016.7473511

Sergio Enriques, Y. Ozturk

{"title":"Advanced cargo security handheld network access device","authors":"Sergio Enriques, Y. Ozturk","doi":"10.1109/ISDFS.2016.7473511","DOIUrl":"https://doi.org/10.1109/ISDFS.2016.7473511","url":null,"abstract":"With the aim of improving the security for shipping containers used in a global supply chain, the Department of Homeland Security is developing the technical requirements for an open container security system communications interface. The primary purpose of this system is to monitor the status of shipping containers equipped with electronic chain of custody devices, and channel this information to a secure data consolidation server. A secure handheld network access device (HNAD) is intended to integrate with and extend the functionality of the Department of Homeland Security's Advance Container Security System. By replicating most of the functionality provided by a Data Consolidation Server, a handheld unit can be used to provide users with a secure and convenient method to wirelessly monitor and control the status of the container security devices in the area. Once a user has obtained the necessary security keys to enable wireless communication with the security devices, the handheld unit will join an existing IEEE 802.15.4 wireless network and permit the secure exchange of information between itself and the security devices. This study presents a secure Handheld Network Access Device using an off the shelf phone running the Android OS. This study also extends the phones wireless capability via a USB-to-XBee dongle to enable communications with secure locks using the IEEE 802.15.4 protocol.","PeriodicalId":136977,"journal":{"name":"2016 4th International Symposium on Digital Forensic and Security (ISDFS)","volume":"154 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114164921","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