Figure 11-14 A basic network tap in Software

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Figure 11-14 A basic network tap
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11: Intrusion Detection Systems
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A popular open-source protocol analyzer is Wireshark (wwwwiresharkorg/) Available for both UNIX and Windows operating systems, Wireshark is a GUI-based protocol analyzer that allows users to capture and decode network traffic on any available network interface in the system on which the software is running (including wireless interfaces) Wireshark has some interesting features, including the ability to follow the TCP stream, which allows the user to select a single TCP packet and then see all the other packets involved in that TCP conversation
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Network Mappers
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One of the biggest challenges in securing a network can be simply knowing what is connected to that network at any given point in time For most organizations, the network is a constantly changing entity While servers may remain fairly constant, user workstations, laptops, printers, and network-capable peripherals may connect to and then disconnect from the network on a daily basis, making the network at 3 AM look quite different than the network at 10 AM To help identify devices connected to the network, many administrators use networking mapping tools Network mappers are tools designed to identify what devices are connected to a given network and, where possible, the operating system in use on that device Most network mapping tools are active in that they generate traffic and then listen for responses to determine what devices are connected to the network These tools typically use the ICMP or SNMP protocol for discovery and some of the more advanced tools will create a map of discovered devices showing their connectivity to the network in relation to other network devices A few network mapping tools have the ability to perform device discovery passively by examining all the network traffic in an organization and noting each unique IP address and MAC address in the traffic stream
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The bane of users and system administrators everywhere, spam is essentially unsolicited or undesired bulk electronic messages While typically applied to e-mail, spam can be transmitted via text message to phones and mobile devices, as postings to Internet forums, and by other means If you ve ever used an e-mail account, chances are you ve received spam From a productivity and security standpoint, spam costs businesses and users billions of dollars each year, and it is such a widespread problem that the US Congress passed the CAN-SPAM Act of 2003 to empower the Federal Trade Commission to enforce the act and the Department of Justice to enforce criminal sanctions against spammers The act establishes requirements for those who send commercial e-mail, spells out penalties for spammers and companies whose products are advertised in spam if they violate the law, and gives consumers the right to ask e-mailers to stop spamming them Despite all our best efforts, however, spam just keeps coming; as the technologies and techniques developed to stop the spam get more advanced and complex, so do the tools and techniques used to send out the unsolicited messages
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CompTIA Security+ All-in-One Exam Guide
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Here are a few of the more popular methods used to fight the spam epidemic; most of these techniques are used to filter e-mail but could be applied to other mediums as well: Blacklisting Blacklisting is essentially noting which domains and source addresses have a reputation for sending spam and rejecting messages coming from those domains and source addresses This is basically a permanent ignore or call block type capability Several organizations and a few commercial companies provide lists of known spammers Content or keyword filtering Similar to Internet content filtering, this method filters e-mail messages for undesirable content or indications of spam Much like content filtering of web content, filtering e-mail based on something like keywords can cause unexpected results, as certain terms can be used in both legitimate and spam e-mail Most content-filtering techniques use regular expression matching for keyword filtering Trusted servers The opposite of blacklisting, a trusted server list includes SMTP servers that are being trusted not to forward spam Delay-based filtering Some Simple Mail Transfer Protocol (SMTP) servers are configured to insert a deliberate pause between the opening of a connection and the sending of the SMTP server s welcome banner Some spam-generating programs do not wait for that greeting banner, and any system that immediately starts sending data as soon as the connection is opened is treated as a spam generator and dropped by the SMTP server PTR and reverse DNS checks Some e-mail filters check the origin domain of an e-mail sender If the reverse checks show the mail is coming from a dialup user, home-based broadband, a dynamically assigned address, or has a generic or missing domain, then the filter rejects it as these are common sources of spam messages Callback verification As many spam messages use forged from addresses, some filters attempt to validate the from address of incoming e-mail The receiving server can contact the sending server in an attempt to validate the sending address, but this is not always effective as spoofed addresses are sometimes valid e-mail addresses that can be verified Statistical content filtering Statistical filtering is much like a document classification system Users mark received messages as either spam or legitimate mail and the filtering system learns from the user s input The more messages that are seen and classified as spam, the better the filtering software should get at intercepting incoming spam Spammers counteract many filtering technologies by inserting random words and characters into the messages, making it difficult for content filters to identify patterns common to spam Rule-based filtering Rule-based filtering is a simple technique that merely looks for matches in certain fields or keywords For example, a rule-based
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