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A Rule Based Approach for Spam Detection
A RULE BASED APPROACH FOR SPAM DETECTION Thesis submitted in partial fulfillment of the requirements for the award of degree of Master of Engineering In Computer Science & Engineering By: Ravinder Kamboj (Roll No. 800832030) Under the supervision of: Dr. V.P Singh Mrs. Sanmeet Bhatia Assistant Professor Assistant Professor Computer Science & Engineering Department of SMCA COMPUTER SCIENCE AND ENGINEERING DEPARTMENT THAPAR UNIVERSITY PATIALA – 147004 JULY- 2010 i ii Abstract Spam is defined as a junk Email or unsolicited Email. Spam has increased tremendously in the last few years. Today more than 85% of e-mails that are received by e-mail users are spam. The cost of spam can be measured in lost human time, lost server time and loss of valuable mail. Spammers use various techniques like spam via botnet, localization of spam and image spam. According to the mail delivery process anti-spam measures for Email Spam can be divided in to two parts, based on Emails envelop and Email data. Black listing, grey listing and white listing techniques can be applied on the Email envelop to detect spam. Techniques based on the data part of Email like heuristic techniques and Statistical techniques can be used to combat spam. Bayesian filters as part of statistical technique divides the income message in to words called tokens and checks their probability of occurrence in spam e-mails and ham e-mails. Two types of approaches can be followed for the detection of spam e-mails one is learning approach other is rule based approach. Learning approach required a large dataset of spam e-mails and ham e-mails is required for the training of spam filter; this approach has good time characteristics filter can be retrained quickly for new Spam. -
A Survey on Spam Detection Techniques
ISSN (Online) : 2278-1021 ISSN (Print) : 2319-5940 International Journal of Advanced Research in Computer and Communication Engineering Vol. 3, Issue 12, December 2014 A survey on spam detection techniques Anjali Sharma1, Manisha 2, Dr.Manisha 3 , Dr.Rekha Jain 4 1,2,3,4 Bansthali Vidyapith, Jaipur Campus, India Abstract: Today e-mails have become one of the most popular and economical forms of communication for Internet users. Thus due to its popularity, the e-mail is going to be misused. One such misuse is the posting of unwelcome, unwanted e-mails known as spam or junk e-mails [1]. E-mail spam has various consequences. It reduces productivity, takes extra space in mail boxes, extra time, extend software damaging viruses, and materials that contains potentially harmful information for Internet users, destroy stability of mail servers, and as a result users spend lots of time for sorting incoming mail and deleting unwanted correspondence. So there is a need of spam detection so that its consequences can be reduced [2]. In this paper, we present various spam detection techniques. Keywords: Spam, Spam detection techniques, Email classification I. INTRODUCTION Spam refers to unsolicited commercial email. Also known firewalls; therefore, it is an especially useful way for as junk mail, spam floods Internet users’ electronic spammers. It targets the users when they join any chat mailboxes. These junk mails can contain various types of room to find new friends. It spoils enjoy of people and messages such as pornography, commercial advertising, waste their time also. doubtful product, viruses or quasi legal services [3]. -
Jeremy Nelson, CEO Afia Inc
Internet of Health Apps, Wearables, Population Health, and Integrated Care Jeremy Nelson, CEO Afia Inc. At a high level 1. New generation of connected devices 2. New models for care delivery 3. New class of innovative startups 4. Supported by payment reform 2010 Sensors & Technology ● GPS ● Cameras ● Microphones ● 6-axis accelerometer ● Compass ● Light sensor ● Proximity sensor ● Wi-Fi & 3G ● Bluetooth In Just The Last 7 Years 2015 Sensors & Technology ● 70x faster CPU ● 90x faster graphics ● NFC ● Barometer ● 4G/LTE ● Bluetooth Low Energy ● Motion Coprocessor ● 3D Touch “What is your most important device?” Smart Devices 1.0 The Pavlok Band ● Activity tracking ● Sleep tracking ● “Shock circuit” The Pavlok Band “Pay a fine, lose access to your phone, even get an electric shock… at the hands of your friends” if you fail to meet goals Who tracks their health? ● 45% of U.S. adults live with at least one chronic condition. ● Of those with 2+ Conditions ○ 78% have high blood pressure ○ 45% have diabetes Source: Pew Research Connected Wearables Show of Hands Android Wear Apple Watch Common Sensors ● Heart rate sensor ● Accelerometer ● BTLE + Wifi ● GPS (Phone) Apple S1 Chip ? Fourteen Months In ● Battery life - good ● Hardware design - excellent ● Messaging - excellent ● Activity tracking & fitness - good ● Third-party apps - poor Epic - MyChart on Apple Watch Appointment reminders, messages, medications integrated with EHR Emotiv Insight ● Consumer EEG & inertial sensor ● Bluetooth integration with smartphone ● Available via API Spire Mind & Body Tracker ● Measures breathing & provides feedback ● Senses stress/tension, suggest deep breath ● Included iOS guides “mini-meditations” MIT “Band-aid of the Future” ● Sticky, stretchy, gel- like material ● Incorporates sensors (eg. -
Asian Anti-Spam Guide 1
Asian Anti-Spam Guide 1 © MediaBUZZ Pte Ltd January 2009 Asian Anti-SpamHighlights Guide 2 • Combating the latest inbound threat: Spam and dark traffic, Pg. 13 • Secure Email Policy Best Practices, Pg. 17 • The Continuous Hurdle of Spam, Pg. 29 • Asian Anti Spam Acts, Pg. 42 Contents: • Email Spam: A Rising Tide 4 • What everyone should know about spam and privacy 7 • Scary Email Issues of 2008 12 • Combating the latest inbound threat: Spam and dark 13 • Proofpoint survey viewed spam as an increasing threat 16 • Secure Email Policy Best Practices 17 • Filtering Out Spam and Scams 24 • The Resurgence of Spam 26 • 2008 Q1 Security Threat landscape 27 • The Continuous Hurdle of Spam 29 • Spam Filters are Adaptive 30 • Liberating the inbox: How to make email safe and pro- 31 ductive again • Guarantee a clear opportunity to opt out 33 • The Great Balancing Act: Juggling Collaboration and 34 Authentication in Government IT Networks • The Not So Secret Cost of Spam 35 • How to Avoid Spam 36 • How to ensure your e-mails are not classified as spam 37 • Blue Coat’s Top Security Trends for 2008 38 • The Underground Economy 40 • Losing Email is No Longer Inevitable 42 • Localized malware gains ground 44 • Cyber-crime shows no signs of abating 45 MEDIABUZZ PTE LTD • Asian Anti-Spam Acts 47 ASIAN ANTI-SPAM GUIDE © MediaBUZZ Pte Ltd January 2009 Asian Anti-SpamHighlights Guide 3 • Frost & Sullivan: Do not underestimate spam, Pg. 65 • Unifying email security is key, Pg. 71 • The many threats of network security, Pg. 76 • The UTM story, Pg. -
Internet Security
In the News Articles in the news from the past month • “Security shockers: 75% of US bank websites Internet Security have flaws” • “Blank robbers swipe 3,000 ‘fraud-proof’ UK passports” • “Korean load sharks feed on hacked data” • “Worms spread via spam on Facebook and Nan Niu ([email protected]) MySpace” CSC309 -- Fall 2008 • “Beloved websites riddled with crimeware” • “Google gives GMail always-on encryption” http://www.theregister.co.uk 2 New Targets of 2007 Scenario 1 • Cyber criminals and cyber spies have • The Chief Information Security Officer shifted their focus again of a medium sized, but sensitive, federal – Facing real improvements in system and agency learned that his computer was network security sending data to computers in China. • The attackers now have two new targets • He had been the victim of a new type of spear phishing attack highlighted in this – users who are easily misled year’s Top 20. – custom-built applications • Once they got inside, the attackers had • Next, 4 exploits scenarios… freedom of action to use his personal • Reported by SANS (SysAdmin, Audit, Network, computer as a tunnel into his agency’s Security), http://www.sans.org systems. 3 4 Scenario 2 Scenario 3 • Hundreds of senior federal officials and business • A hospital’s website was compromised executives visited a political think-tank website that had been infected and caused their computers to because a Web developer made a become zombies. programming error. • Keystroke loggers, placed on their computers by the • Sensitive patient records were taken. criminals (or nation-state), captured their user names and passwords when their stock trading accounts and • When the criminals proved they had the their employers computers, and sent the data to data, the hospital had to choose between computers in different countries. -
Design of SMS Commanded-And-Controlled and P2P-Structured Mobile Botnets
Design of SMS Commanded-and-Controlled and P2P-Structured Mobile Botnets Yuanyuan Zeng, Kang G. Shin, Xin Hu The University of Michigan, Ann Arbor, MI 48109-2121, U.S.A. fgracez, kgshin, [email protected] Abstract—Botnets have become one of the most serious security is usually capable of only one or two functions. Although the threats to the Internet and personal computer (PC) users. number of mobile malware families and their variants has been Although botnets have not yet caused major outbreaks in mobile growing steadily over the recent years, their functionalities networks, with the rapidly-growing popularity of smartphones such as Apple’s iPhone and Android-based phones that store have remained simple until recently. more personal data and gain more capabilities than earlier- SymbOS.Exy.A trojan [2] was discovered in February 2009 generation handsets, botnets are expected to move towards this and its variant SymbOS.Exy.C resurfaced in July 2009. This mobile domain. Since SMS is ubiquitous to every phone and can mobile worm, which is said to have “botnet-esque” behavior delay message delivery for offline phones, it is a suitable medium patterns, differs from other mobile malware because after for command and control (C&C). In this paper, we describe how a mobile botnet can be built by utilizing SMS messages infection, it connects back to a malicious HTTP server and for C&C, and how different P2P structures can be exploited reports information of the device and its user. The Ikee.B for mobile botnets. Our simulation results demonstrate that a worm [3] targets jailbroken iPhones, and has behavior similar modified Kademlia—a structured architecture—is a better choice to SymbOS.Exy. -
October 1998 $3.95 Higher in Canada Ahead
October 1998 $3.95 Higher in Canada ahead. Pop one open. a"I"'rn,�nn'� 1 00 Ton, Bay Hopper Six Packs refreshing and satisfying! New in the HO Scale Silver Series@)line, these ready-to-run Triple Bay Hoppers are the first ever with 300 slope sheets. They're offered in sets of six for use as unit trains to and from mining operations. Each set contains cars with six different roadnumbers, as well as removable loads that are molded and randomized for the effect of six different load configurations. Separate side sheet supports are also provided for added realism if the hoppers are run as empties. The Triple Bay Hopper six packs are shipping now at the suggested retail price of $90.00 each. Of the eight road names available, all carry coal loads except for Western Maryland, which carries a prototypically-correct limestone load. So go ahead. Pop one open. And refresh yourself with a Bachmann six pack. Suggested Retail Price: $90.00 SHIPPING NOW ITEM # DESCRIPTION NMRA Conformance Warrant 98-06 Burlington Northern • 18703YY HO • scale Silver Series@ model (billboard) 30° slope sheet, offset panel design • Conrail thin wall construction 18706YY • Southern Pacific six roadnumbers 18707YY • removable loads Barber S 2 Roller Bearing Trucks with 18710YY Reading (speed lettering) • • separate side sheet supports Celcon@ construction Pennsylvania (yellow ball) • 18714YY hidden weights blackened, non-magnetic metal axles Western Maryland (gray) • • 18737YY finely detailed brake wheel with needle point bearings for free-rolling performance • 18739YY Denver Rio Grande installed body-mounted E-Z Mate@couplers scale 36", blackened-metal wheels • • Western (flying Grande) finely detailed stirrup steps with RP25 contours & • separately applied brake reservoir and brake valve all parts painted with accurate paint schemes 18742YY Norfolk & Western • • . -
Anti-Spam Methods
INTRODUCTION Spamming is flooding the Internet with many copies of the same message, in an attempt to force the message on people who would not otherwise choose to receive it. Most spam is commercial advertising, often for dubious products, get-rich-quick schemes, or quasi- legal services. Spam costs the sender very little to send -- most of the costs are paid for by the recipient or the carriers rather than by the sender. There are two main types of spam, and they have different effects on Internet users. Cancellable Usenet spam is a single message sent to 20 or more Usenet newsgroups. (Through long experience, Usenet users have found that any message posted to so many newsgroups is often not relevant to most or all of them.) Usenet spam is aimed at "lurkers", people who read newsgroups but rarely or never post and give their address away. Usenet spam robs users of the utility of the newsgroups by overwhelming them with a barrage of advertising or other irrelevant posts. Furthermore, Usenet spam subverts the ability of system administrators and owners to manage the topics they accept on their systems. Email spam targets individual users with direct mail messages. Email spam lists are often created by scanning Usenet postings, stealing Internet mailing lists, or searching the Web for addresses. Email spams typically cost users money out-of-pocket to receive. Many people - anyone with measured phone service - read or receive their mail while the meter is running, so to speak. Spam costs them additional money. On top of that, it costs money for ISPs and online services to transmit spam, and these costs are transmitted directly to subscribers. -
Spam (Spam 2.0) Through Web Usage
Digital Ecosystems and Business Intelligence Institute Addressing the New Generation of Spam (Spam 2.0) Through Web Usage Models Pedram Hayati This thesis is presented for the Degree of Doctor of Philosophy of Curtin University July 2011 I Abstract Abstract New Internet collaborative media introduce new ways of communicating that are not immune to abuse. A fake eye-catching profile in social networking websites, a promotional review, a response to a thread in online forums with unsolicited content or a manipulated Wiki page, are examples of new the generation of spam on the web, referred to as Web 2.0 Spam or Spam 2.0. Spam 2.0 is defined as the propagation of unsolicited, anonymous, mass content to infiltrate legitimate Web 2.0 applications. The current literature does not address Spam 2.0 in depth and the outcome of efforts to date are inadequate. The aim of this research is to formalise a definition for Spam 2.0 and provide Spam 2.0 filtering solutions. Early-detection, extendibility, robustness and adaptability are key factors in the design of the proposed method. This dissertation provides a comprehensive survey of the state-of-the-art web spam and Spam 2.0 filtering methods to highlight the unresolved issues and open problems, while at the same time effectively capturing the knowledge in the domain of spam filtering. This dissertation proposes three solutions in the area of Spam 2.0 filtering including: (1) characterising and profiling Spam 2.0, (2) Early-Detection based Spam 2.0 Filtering (EDSF) approach, and (3) On-the-Fly Spam 2.0 Filtering (OFSF) approach. -
Comparison Between Different 1RM Prediction Tests in Submaximal Load for the Usage of a Future Smartwatch App
Comparison between different 1RM prediction tests in submaximal load for the usage of a future smartwatch app Fulfillment of the requirements for the «Master of Science in Sports with Specialization in Teaching» submitted by: Raphael Erni (11-124-047) at the University of Freiburg, Switzerland Faculty of Mathematics and Natural Sciences Department of Medicine in cooperation with Swiss Federal Institute of Sports Magglingen SFISM supervisor: PD Dr. Silvio Lorenzetti advisor: Fabian Lüthy Bern, January 2019 Acknowledgement This master thesis was conducted at the Institute of Sport and Human Movements Sciences at the University of Fribourg in cooperation with the Swiss Federal Institute of Sports Mag- glingen and supervised by PD Dr. Lorenzetti Silvio. Hereby, I would like to thank him for his exceptional help when it came to his great advice, his quick responses to my questions and for always showing me the right direction whenever I needed it. I would also like to thank my advisor Fabian Lüthy for supporting me with good references and helping me when I needed some extra guidance. Furthermore, I would like to thank Dominik Huber which took his precious time to explain the process of his master thesis to me in depth and showing me how the app and the smart- watch worked. He was always just a phone call away for some really good advice. I would also like to word my appreciation to Ravi Sinnathamby, Niklaus Jud and Marielle Kunz for letting me use their gym facility and equipment and helping me find suitable test subjects. Similarly important for the final touch of this thesis were Dr. -
Statistics Survey 357528 'Survey on Internet Attitudes'
Quick statistics Survey 357528 'Survey on Internet Attitudes' Results Survey 357528 Number of records in this query: 1000 Total records in survey: 1000 Percentage of total: 100.00% page 1 / 226 Quick statistics Survey 357528 'Survey on Internet Attitudes' Field summary for QA1 I agree to these terms and want to participate in the survey. I confirm that I am 16 years of age or over. Answer Count Percentage Yes (A1) 1000 100.00% No answer 0 0.00% page 2 / 226 Quick statistics Survey 357528 'Survey on Internet Attitudes' Field summary for QB1a(SQ001) How often do you go online and for which of the following activities (for private purposes)? [a. Check my email] Answer Count Percentage Several times a day (A1) 893 89.30% Daily (A2) 92 9.20% Weekly (A3) 10 1.00% Monthly (A4) 2 0.20% Less than monthly (A5) 0 0.00% Never (A6) 3 0.30% No answer 0 0.00% page 3 / 226 Quick statistics Survey 357528 'Survey on Internet Attitudes' Field summary for QB1a(SQ002) How often do you go online and for which of the following activities (for private purposes)? [b. Use instant messaging (e.g. WhatsApp, Facebook Messenger)] Answer Count Percentage Several times a day (A1) 577 57.70% Daily (A2) 165 16.50% Weekly (A3) 87 8.70% Monthly (A4) 28 2.80% Less than monthly (A5) 33 3.30% Never (A6) 110 11.00% No answer 0 0.00% page 4 / 226 Quick statistics Survey 357528 'Survey on Internet Attitudes' Field summary for QB1a(SQ003) How often do you go online and for which of the following activities (for private purposes)? [c. -
Strong Cash Flow Lifts Stocks up VN Index Surging Back to Previous Peak
Stock market Strong cash flow lifts stocks up 08/May/2017 Intellasia| The Saigon Times The local market reported seesaw trading around the strong resistance of 720 points on May 4 but stocks went up in the afternoon thanks to strong cash flow into the property sector. The VN Index extended its winning streak to the fourth straight session, gaining 2.48 points, or 0.34 percent, at 722.02, while turnover eased slightly to VND4.6 trillion. Market breadth narrowed down as advancers slightly outnumbered decliners by 148 to 114 while 41 others closed at the reference prices. The banking sector maintained active trading with VCB rising 2.2 percent on volume of nearly 2.2 million shares, STB up 4.3 percent with 6.4 million shares, BID up 1.2 percent with 3.6 million shares and CTG up 1.7 percent with nearly one million shares. Meanwhile, MBB lost 1.8 percent to VND16,500 a share with 2.2 million shares changing hands. Large cap VNM contributed positively to the market, closing up 1.5 percent at VND148,500 a share on volume of nearly one million shares. Forward moves were partly offset by PVD, which lost ground for the fourth straight session and plunged to the floor price for the second consecutive day, ending at VND15,400 per share with matching volume of 8.3 million shares. Notably, the property sector strongly attracted the cash flow. QCG, DIC, DIG, VPH and HQC went up to the ceiling prices on high trading volumes, in which HQC reported matching volume of over 8.5 million shares.